diff --git "a/openvino_model.xml" "b/openvino_model.xml"
--- "a/openvino_model.xml"
+++ "b/openvino_model.xml"
@@ -36,13 +36,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_432625_compressed" type="Const" version="opset1">
+		<layer id="4" name="Constant_127968_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5" name="Constant_432625" type="Convert" version="opset1">
+		<layer id="5" name="Constant_127968" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -54,7 +54,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6" name="ShapeOf_432611" type="ShapeOf" version="opset3">
+		<layer id="6" name="ShapeOf_127954" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="I64">
@@ -68,7 +68,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="Constant_432613" type="Const" version="opset1">
+		<layer id="7" name="Constant_127956" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -76,13 +76,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Constant_432615" type="Const" version="opset1">
+		<layer id="8" name="Constant_127958" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="9" name="Gather_432616" type="Gather" version="opset8">
+		<layer id="9" name="Gather_127959" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -99,7 +99,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="Constant_432618" type="Const" version="opset1">
+		<layer id="10" name="Constant_127961" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -107,7 +107,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="Constant_432620" type="Const" version="opset1">
+		<layer id="11" name="Constant_127963" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -115,7 +115,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="Constant_432622" type="Const" version="opset1">
+		<layer id="12" name="Constant_127965" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -123,7 +123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="Concat_432623" type="Concat" version="opset1">
+		<layer id="13" name="Concat_127966" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -145,7 +145,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="Broadcast_432626" type="Broadcast" version="opset3">
+		<layer id="14" name="Broadcast_127969" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -162,7 +162,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="ReadValue_417408" type="ReadValue" version="opset6">
+		<layer id="15" name="ReadValue_127543" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.9.valuepresent.9.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -181,13 +181,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="16" name="Constant_401947" type="Const" version="opset1">
+		<layer id="16" name="Constant_126874" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="17" name="Gather_401948" type="Gather" version="opset8">
+		<layer id="17" name="Gather_126875" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -210,7 +210,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="self.model.gpt_neox.embed_in.weight_compressed" type="Const" version="opset1">
+		<layer id="18" name="self.model.gpt_neox.embed_in.weight" type="Const" version="opset1">
 			<data element_type="f16" shape="50432, 2560" offset="26" size="258211840" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.embed_in.weight">
@@ -219,7 +219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="self.model.gpt_neox.embed_in.weight" type="Convert" version="opset1">
+		<layer id="19" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -237,7 +237,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="__module.model.gpt_neox.embed_in/aten::embedding/Convert" type="Convert" version="opset1">
+		<layer id="20" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert_1" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64">
@@ -252,13 +252,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="21" name="__module.model.gpt_neox.embed_in/aten::embedding/Constant" type="Const" version="opset1">
+		<layer id="21" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Constant" type="Const" version="opset1">
 			<data element_type="i32" shape="" offset="258211866" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="22" name="__module.model.gpt_neox.embed_in/aten::embedding/Gather" type="Gather" version="opset8">
+		<layer id="22" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -272,14 +272,14 @@
 				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="306,input.1">
+				<port id="3" precision="FP32" names="298,inputs_embeds">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="23" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="23" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -307,7 +307,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="25" name="Constant_325188_compressed" type="Const" version="opset1">
+		<layer id="25" name="Constant_117141_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="1, 1, 2560" offset="258211874" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
@@ -317,7 +317,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="Constant_325188" type="Convert" version="opset1">
+		<layer id="26" name="Constant_117141" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -337,7 +337,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="27" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="27" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -359,7 +359,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="Constant_325189_compressed" type="Const" version="opset1">
+		<layer id="28" name="Constant_117142_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="1, 1, 2560" offset="258216994" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
@@ -369,7 +369,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="29" name="Constant_325189" type="Convert" version="opset1">
+		<layer id="29" name="Constant_117142" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -404,14 +404,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="315">
+				<port id="2" precision="FP32" names="382,hidden_states.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="31" name="self.model.gpt_neox.layers.0.attention.query_key_value.weight_compressed" type="Const" version="opset1">
+		<layer id="31" name="self.model.gpt_neox.layers.0.attention.query_key_value.weight" type="Const" version="opset1">
 			<data element_type="f16" shape="7680, 2560" offset="258222114" size="39321600" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.attention.query_key_value.weight">
@@ -420,7 +420,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="self.model.gpt_neox.layers.0.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="32" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -438,7 +438,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="33" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="33" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -459,37 +459,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="34" name="Constant_325190_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="297543714" size="15360" />
+		<layer id="34" name="self.model.gpt_neox.layers.0.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="297543714" size="15360" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.attention.query_key_value.bias">
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="35" name="Constant_325190" type="Convert" version="opset1">
+		<layer id="35" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="36" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="36" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -498,20 +492,18 @@
 					<dim>7680</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="322,qkv.1">
+				<port id="2" precision="FP32" names="389">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="37" name="Constant_125437" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -535,7 +527,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="326,qkv.3">
+				<port id="2" precision="FP32" names="391">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -543,41 +535,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="39" name="Constant_294370" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="40" name="Constant_294373" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="41" name="Constant_294376" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="39" name="__module.model.gpt_neox.layers.0.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="42" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="40" name="__module.model.gpt_neox.layers.0.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -585,360 +551,209 @@
 					<dim>32</dim>
 					<dim>240</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="327">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="392,qkv.1">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="43" name="Constant_222" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="41" name="207" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="297559122" size="8" />
 			<output>
-				<port id="0" precision="I64" names="328">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" names="207" />
 			</output>
 		</layer>
-		<layer id="44" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="42" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="329,query.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="45" name="Constant_294382" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>240</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="46" name="Constant_294385" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="47" name="Constant_294388" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="43" name="Constant_29241" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="258211866" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I32">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="48" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="44" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
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-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
+				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="49" name="self.model.gpt_neox.layers.0.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="45" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="297559130" size="4" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="50" name="self.model.gpt_neox.layers.0.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="46" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Divide" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="51" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
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-			</rt_info>
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-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="52" name="Constant_294394" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="47" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Mod" type="Mod" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="53" name="Constant_294397" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="48" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Greater" type="Greater" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="54" name="Constant_294400" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="BOOL">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="55" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="49" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="BOOL">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="330">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="56" name="ShapeOf_337904" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="50" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I32">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="57" name="Constant_340970" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="51" name="Constant_29250" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="297559134" size="4" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="58" name="Constant_337906" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="59" name="Gather_337907" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="52" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Broadcast" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="340">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="60" name="Constant_432638_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16" />
-			</output>
-		</layer>
-		<layer id="61" name="Constant_432638" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="1" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="62" name="Constant_432631" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="10" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="63" name="Constant_432633" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="I32">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="64" name="Constant_432635" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="18" size="8" />
+		<layer id="53" name="Constant_29242" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="65" name="Concat_432636" type="Concat" version="opset1">
+		<layer id="54" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>2</dim>
 				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="66" name="Broadcast_432639" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="55" name="__module.model.gpt_neox.layers.0.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="3" precision="FP32" names="394,q.1">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="67" name="ReadValue_417282" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="4" precision="FP32" names="395,k.1">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="past_key_values.0.key">
+				<port id="5" precision="FP32" names="396,value_states.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -946,61 +761,70 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="68" name="Constant_401890" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="56" name="Constant_718" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="69" name="Gather_401891" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+		<layer id="57" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 40, 1" offset="297559138" size="80" />
+			<output>
+				<port id="0" precision="FP16" names="351">
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="58" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="70" name="ShapeOf_337909" type="ShapeOf" version="opset3">
+		<layer id="59" name="ShapeOf_122661" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="71" name="Constant_337910" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
+		<layer id="60" name="Constant_122662" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="72" name="Constant_337911" type="Const" version="opset1">
+		<layer id="61" name="Constant_122663" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -1009,21 +833,25 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="73" name="Gather_337912" type="Gather" version="opset8">
+		<layer id="62" name="Gather_122664" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="342" />
+				<port id="3" precision="I64" names="321,352">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="74" name="Constant_337582" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="63" name="Constant_95240" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -1033,22 +861,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="75" name="Reshape_340905" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="64" name="Constant_95242" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="76" name="__module.model.gpt_neox.layers.0.attention/aten::add_/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="65" name="__module.model.gpt_neox.rotary_emb/prim::ListConstruct" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
@@ -1056,167 +881,186 @@
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64" names="341,345,346,seq_len.1">
+				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="77" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="3" precision="I64">
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+				<port id="0" precision="I64" names="222" />
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+		<layer id="68" name="__module.model.gpt_neox.rotary_emb/aten::unsqueeze/Unsqueeze_2" type="Unsqueeze" version="opset1">
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+		<layer id="69" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert_3" type="Convert" version="opset1">
+			<data destination_type="f32" />
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-			<data batch_dims="0" />
+		<layer id="70" name="__module.model.gpt_neox.rotary_emb/aten::matmul/MatMul" type="MatMul" version="opset1">
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 		</layer>
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-			<data element_type="i64" shape="" offset="297886946" size="8" />
+		<layer id="71" name="__module.model.gpt_neox.rotary_emb/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="297559226" size="12" />
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+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="83" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="72" name="__module.model.gpt_neox.rotary_emb/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>40</dim>
 					<dim>-1</dim>
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-				<port id="1" precision="I64" />
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="73" name="__module.model.gpt_neox.rotary_emb/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>40</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="360">
+				<port id="2" precision="FP32" names="365,emb">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="74" name="__module.model.gpt_neox.rotary_emb/aten::cos/Cos" type="Cos" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-					<dim>4</dim>
+				<port id="1" precision="FP32" names="366,367,370,373,cos.1,cos.3">
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+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="75" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1066,1177,1288,1399,1510,1621,1732,1843,1954,2065,2176,2287,2398,2509,2620,2731,2842,2953,3064,3175,3286,3397,3508,3619,3730,3841,397,511,622,733,844,955,cos,cos.11,cos.13,cos.15,cos.17,cos.19,cos.21,cos.23,cos.25,cos.27,cos.29,cos.31,cos.33,cos.35,cos.37,cos.39,cos.41,cos.43,cos.45,cos.47,cos.49,cos.5,cos.51,cos.53,cos.55,cos.57,cos.59,cos.61,cos.63,cos.65,cos.7,cos.9">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="87" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
+		<layer id="76" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
@@ -1227,145 +1071,133 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="88" name="207" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="77" name="Constant_99649" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I64" names="207" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="89" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_5" type="Const" version="opset1">
+		<layer id="78" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_2" type="Const" version="opset1">
 			<data element_type="i32" shape="" offset="258211866" size="4" />
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 			</output>
 		</layer>
-		<layer id="90" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_5" type="Gather" version="opset8">
+		<layer id="79" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="361,366" />
+				<port id="3" precision="I64" names="1068,1179,1290,1401,1512,1623,1734,1845,1956,2067,2178,2289,2400,2511,2622,2733,2844,2955,3066,3177,3288,3399,3510,3621,3732,3843,399,513,624,735,846,957">
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="80" name="Constant_721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="0" precision="I64" names="219" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="81" name="Constant_716" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="93" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="82" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
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-			<output>
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-		<layer id="94" name="Constant_337584" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="400,q_rot.1">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="97" name="ScatterUpdate_294406" type="ScatterUpdate" version="opset3">
+		<layer id="83" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="404">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="84" name="Constant_736" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="85" name="Constant_739" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="86" name="Constant_734" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="87" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1374,106 +1206,142 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="370,x2.1">
+				<port id="5" precision="FP32" names="402,k_rot.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="101" name="Constant_325191_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="88" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="102" name="Constant_325191" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="89" name="210" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64" names="210" />
+			</output>
+		</layer>
+		<layer id="90" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_3" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211866" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="91" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_3" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="3" precision="I64" names="1074,1079,1090,1095,1185,1190,1201,1206,1296,1301,1312,1317,1407,1412,1423,1428,1518,1523,1534,1539,1629,1634,1645,1650,1740,1745,1756,1761,1851,1856,1867,1872,1962,1967,1978,1983,2073,2078,2089,2094,2184,2189,2200,2205,2295,2300,2311,2316,2406,2411,2422,2427,2517,2522,2533,2538,2628,2633,2644,2649,2739,2744,2755,2760,2850,2855,2866,2871,2961,2966,2977,2982,3072,3077,3088,3093,3183,3188,3199,3204,3294,3299,3310,3315,3405,3410,3421,3426,3516,3521,3532,3537,3627,3632,3643,3648,3738,3743,3754,3759,3849,3854,3865,3870,405,410,421,426,519,524,535,540,630,635,646,651,741,746,757,762,852,857,868,873,963,968,979,984" />
+			</output>
+		</layer>
+		<layer id="92" name="Constant_55" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="297559246" size="8" />
+			<output>
+				<port id="0" precision="I64" names="216" />
+			</output>
+		</layer>
+		<layer id="93" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" />
+			</output>
+		</layer>
+		<layer id="94" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor" type="Floor" version="opset1">
+			<input>
+				<port id="0" precision="I64" />
+			</input>
+			<output>
+				<port id="1" precision="I64" names="1076,1077,1081,1082,1092,1093,1097,1098,1187,1188,1192,1193,1203,1204,1208,1209,1298,1299,1303,1304,1314,1315,1319,1320,1409,1410,1414,1415,1425,1426,1430,1431,1520,1521,1525,1526,1536,1537,1541,1542,1631,1632,1636,1637,1647,1648,1652,1653,1742,1743,1747,1748,1758,1759,1763,1764,1853,1854,1858,1859,1869,1870,1874,1875,1964,1965,1969,1970,1980,1981,1985,1986,2075,2076,2080,2081,2091,2092,2096,2097,2186,2187,2191,2192,2202,2203,2207,2208,2297,2298,2302,2303,2313,2314,2318,2319,2408,2409,2413,2414,2424,2425,2429,2430,2519,2520,2524,2525,2535,2536,2540,2541,2630,2631,2635,2636,2646,2647,2651,2652,2741,2742,2746,2747,2757,2758,2762,2763,2852,2853,2857,2858,2868,2869,2873,2874,2963,2964,2968,2969,2979,2980,2984,2985,3074,3075,3079,3080,3090,3091,3095,3096,3185,3186,3190,3191,3201,3202,3206,3207,3296,3297,3301,3302,3312,3313,3317,3318,3407,3408,3412,3413,3423,3424,3428,3429,3518,3519,3523,3524,3534,3535,3539,3540,3629,3630,3634,3635,3645,3646,3650,3651,3740,3741,3745,3746,3756,3757,3761,3762,3851,3852,3856,3857,3867,3868,3872,3873,407,408,412,413,423,424,428,429,521,522,526,527,537,538,542,543,632,633,637,638,648,649,653,654,743,744,748,749,759,760,764,765,854,855,859,860,870,871,875,876,965,966,970,971,981,982,986,987" />
+			</output>
+		</layer>
+		<layer id="95" name="Constant_69796" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559122" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="96" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="371">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="104" name="Constant_294457" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="97" name="Constant_900" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="Constant_294462" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="98" name="Constant_902" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="Constant_859" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="106" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="100" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1482,17 +1350,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="365">
+				<port id="5" precision="FP32" names="414,x2.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1500,8 +1371,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="101" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="102" name="__module.model.gpt_neox.layers.0.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="103" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1509,76 +1395,47 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="373">
+				<port id="2" precision="FP32" names="415">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="108" name="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
-			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="104" name="Constant_767" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="105" name="Constant_808" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="106" name="Constant_765" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="107" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -1590,42 +1447,61 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="350,353,sin.1">
+				<port id="5" precision="FP32" names="409,x1.1">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="Constant_38230" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="114" name="__module.model.gpt_neox.layers.0.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="108" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="417">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+			</output>
+		</layer>
+		<layer id="109" name="__module.model.gpt_neox.rotary_emb/aten::sin/Sin" type="Sin" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="358">
+				<port id="1" precision="FP32" names="368,369,371,374,sin.1,sin.3">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="110" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1635,7 +1511,7 @@
 				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="359,sin.3">
+				<port id="2" precision="FP32" names="1067,1178,1289,1400,1511,1622,1733,1844,1955,2066,2177,2288,2399,2510,2621,2732,2843,2954,3065,3176,3287,3398,3509,3620,3731,3842,398,512,623,734,845,956,sin,sin.11,sin.13,sin.15,sin.17,sin.19,sin.21,sin.23,sin.25,sin.27,sin.29,sin.31,sin.33,sin.35,sin.37,sin.39,sin.41,sin.43,sin.45,sin.47,sin.49,sin.5,sin.51,sin.53,sin.55,sin.57,sin.59,sin.61,sin.63,sin.65,sin.7,sin.9">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -1643,7 +1519,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="116" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="111" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1660,7 +1536,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="374">
+				<port id="2" precision="FP32" names="418">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1668,7 +1544,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="112" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1685,7 +1561,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="375,393,403,query.3,query.5">
+				<port id="2" precision="FP32" names="419,437,q_embed.1,query.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1693,89 +1569,128 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="Constant_236" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="113" name="Constant_127980_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64" names="331">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="119" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="114" name="Constant_127980" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="120" name="Constant_294508" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="115" name="Constant_127973" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="Constant_294511" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="116" name="Constant_127975" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="Constant_294514" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="117" name="Constant_127977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="Concat_127978" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="119" name="Broadcast_127981" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="ReadValue_127417" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.0.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="121" name="Constant_126817" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="122" name="Gather_126818" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="338,k.1">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1783,7 +1698,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="124" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="123" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1800,7 +1715,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="376">
+				<port id="2" precision="FP32" names="420">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1808,30 +1723,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="Constant_294518" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="124" name="Constant_1109" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="Constant_294517" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="125" name="Constant_1111" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="126" name="Constant_1068" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1839,93 +1755,94 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="430,x2.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="128" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="129" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="377,382" />
-			</output>
-		</layer>
-		<layer id="130" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="129" name="__module.model.gpt_neox.layers.0.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="131" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
+		<layer id="130" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="379,380,384,385" />
+				<port id="2" precision="FP32" names="431">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="132" name="Constant_337586" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="131" name="Constant_976" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="133" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="132" name="Constant_1017" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="134" name="Constant_294516" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="133" name="Constant_974" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="135" name="ScatterUpdate_294519" type="ScatterUpdate" version="opset3">
+		<layer id="134" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -1933,175 +1850,23 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="425,x1.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="136" name="Constant_294522" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="137" name="Constant_294525" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="138" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="2" precision="I64">
-					<dim>4</dim>
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-				<port id="3" precision="I64">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
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-			</output>
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-		<layer id="139" name="Constant_325192_compressed" type="Const" version="opset1">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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-		</layer>
-		<layer id="140" name="Constant_325192" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
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-				<port id="0" precision="FP32">
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-		<layer id="143" name="Constant_294575" type="Const" version="opset1">
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-				<port id="2" precision="I64">
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-					<dim>32</dim>
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-					<dim>40</dim>
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-		<layer id="145" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="135" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2118,7 +1883,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="389">
+				<port id="2" precision="FP32" names="433">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2126,7 +1891,7 @@
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 			</output>
 		</layer>
-		<layer id="146" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="136" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2143,7 +1908,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="390">
+				<port id="2" precision="FP32" names="434">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2151,7 +1916,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="137" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2168,7 +1933,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="391,395">
+				<port id="2" precision="FP32" names="435,439,k_embed.1,key_states.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2176,7 +1941,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="__module.model.gpt_neox.layers.0.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="138" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2193,7 +1958,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.0.key">
+				<port id="2" precision="FP32" names="key.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2201,13 +1966,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="Constant_432651_compressed" type="Const" version="opset1">
+		<layer id="139" name="Constant_127992_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="150" name="Constant_432651" type="Convert" version="opset1">
+		<layer id="140" name="Constant_127992" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2219,7 +1984,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="151" name="Constant_432644" type="Const" version="opset1">
+		<layer id="141" name="Constant_127985" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2227,7 +1992,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="Constant_432646" type="Const" version="opset1">
+		<layer id="142" name="Constant_127987" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2235,7 +2000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="153" name="Constant_432648" type="Const" version="opset1">
+		<layer id="143" name="Constant_127989" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2243,7 +2008,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="Concat_432649" type="Concat" version="opset1">
+		<layer id="144" name="Concat_127990" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2265,7 +2030,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="Broadcast_432652" type="Broadcast" version="opset3">
+		<layer id="145" name="Broadcast_127993" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -2282,7 +2047,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="ReadValue_417284" type="ReadValue" version="opset6">
+		<layer id="146" name="ReadValue_127419" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.0.valuepresent.0.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2301,13 +2066,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Constant_401893" type="Const" version="opset1">
+		<layer id="147" name="Constant_126820" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="158" name="Gather_401894" type="Gather" version="opset8">
+		<layer id="148" name="Gather_126821" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2330,97 +2095,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="Constant_294620" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="160" name="Constant_294623" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="161" name="Constant_294626" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="162" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="333">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="163" name="Constant_250" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="334">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="164" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="335">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="165" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="149" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2437,7 +2112,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.0.value">
+				<port id="2" precision="FP32" names="value.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2445,57 +2120,43 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="150" name="__module.model.gpt_neox/aten::triu/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211866" size="4" />
 			<output>
-				<port id="0" precision="BOOL" names="412">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="151" name="Multiply_104601_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="297559262" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="167" name="Constant_294630" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
+		<layer id="152" name="Multiply_104601" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="168" name="Constant_294629" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
+		<layer id="153" name="Constant_104606" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="297559264" size="16" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="169" name="ShapeOf_337914" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="170" name="Constant_337915" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
+		<layer id="154" name="Constant_122682" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="297559218" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -2503,7 +2164,7 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="171" name="Constant_337916" type="Const" version="opset1">
+		<layer id="155" name="Constant_122683" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -2512,47 +2173,60 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="172" name="Gather_337917" type="Gather" version="opset8">
+		<layer id="156" name="Gather_122684" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="3" precision="I64" names="301,306" />
 			</output>
 		</layer>
-		<layer id="173" name="Add_337918" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="157" name="Constant_122685" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="Reshape_122686" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="407" />
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="174" name="ShapeOf_337985" type="ShapeOf" version="opset3">
+		<layer id="159" name="ShapeOf_122689" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="175" name="Constant_337986" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
+		<layer id="160" name="Constant_122690" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="297559218" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -2560,7 +2234,7 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="176" name="Constant_337987" type="Const" version="opset1">
+		<layer id="161" name="Constant_122691" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -2569,31 +2243,21 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="177" name="Gather_337988" type="Gather" version="opset8">
+		<layer id="162" name="Gather_122692" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="405" />
-			</output>
-		</layer>
-		<layer id="178" name="__module.model.gpt_neox.layers.0.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="409,410" />
+				<port id="3" precision="I64" names="307,325" />
 			</output>
 		</layer>
-		<layer id="179" name="Constant_337588" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="163" name="Constant_122693" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -2603,7 +2267,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="180" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
+		<layer id="164" name="Reshape_122694" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="I64" />
@@ -2617,245 +2281,219 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="181" name="Constant_294628" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="182" name="ScatterUpdate_294631" type="ScatterUpdate" version="opset3">
+		<layer id="165" name="__module.model.gpt_neox/prim::ListConstruct" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="183" name="Constant_294632" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
+		<layer id="166" name="Maximum_104607" type="Maximum" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>2</dim>
 				</port>
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-		</layer>
-		<layer id="184" name="Constant_337590" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
 			<output>
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@@ -2867,353 +2505,381 @@
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-			<data auto_broadcast="numpy" />
+		<layer id="209" name="__module.model.gpt_neox/prim::ListConstruct_1" type="Concat" version="opset1">
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+		<layer id="210" name="__module.model.gpt_neox/aten::expand/Broadcast" type="Broadcast" version="opset3">
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+				<port id="1" precision="I64">
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+		<layer id="211" name="Constant_69798" type="Const" version="opset1">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="212" name="SliceAssign_497/Reshape_3" type="Reshape" version="opset1">
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 					<dim>-1</dim>
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 			<output>
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 		</layer>
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+		<layer id="213" name="Constant_23830" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="219" name="ShapeOf_314989" type="ShapeOf" version="opset3">
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 			<input>
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@@ -3229,81 +2895,87 @@
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
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+		<layer id="215" name="SliceAssign_497/ReduceProd" type="ReduceProd" version="opset1">
+			<data keep_dims="false" />
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 				<port id="0" precision="I64">
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+					<dim>4</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="216" name="Constant_23831" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="222" name="Gather_337998" type="Gather" version="opset8">
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+		<layer id="217" name="SliceAssign_497/Range" type="Range" version="opset4">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
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+					<dim>-1</dim>
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+			</output>
+		</layer>
+		<layer id="218" name="SliceAssign_497/Reshape" type="Reshape" version="opset1">
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 				<port id="0" precision="I64">
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 				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="I64">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 		</layer>
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+		<layer id="219" name="Constant_487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
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 				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="220" name="Constant_490" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="221" name="Constant_485" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="226" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="222" name="SliceAssign_497/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="I64">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -3314,208 +2986,200 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+					<dim>1</dim>
+					<dim>-1</dim>
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 		</layer>
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-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="223" name="Constant_23833" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="297559284" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="228" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="224" name="SliceAssign_497/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
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 					<dim>1</dim>
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 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>2</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="419">
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 					<dim>1</dim>
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 		</layer>
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-			<data causal="false" />
+		<layer id="225" name="Constant_370" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="226" name="Constant_373" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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+		</layer>
+		<layer id="227" name="Constant_368" type="Const" version="opset1">
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+		<layer id="228" name="__module.model.gpt_neox/aten::slice/Slice_5" type="Slice" version="opset8">
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+		<layer id="234" name="Constant_117143_compressed" type="Const" version="opset1">
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@@ -3524,62 +3188,537 @@
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+			<data destination_type="f32" />
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+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="455,attn_output.1">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="__module.model.gpt_neox.layers.0.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="__module.model.gpt_neox.layers.0.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="456">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="Constant_1272" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559122" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="__module.model.gpt_neox.layers.0.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="459">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="261" name="self.model.gpt_neox.layers.0.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="297559302" size="13107200" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.attention.dense.weight">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="262" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="263" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="264" name="self.model.gpt_neox.layers.0.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="310666502" size="5120" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="265" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="266" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="463,465,input.3">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="267" name="__module.model.gpt_neox.layers.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="437,attn_output.3">
+				<port id="2" precision="FP32" names="469,input.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="241" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="268" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -3587,7 +3726,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="242" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="269" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3607,8 +3746,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="243" name="Constant_325197_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="315521410" size="5120" />
+		<layer id="270" name="Constant_117144_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="310671622" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3617,7 +3756,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="244" name="Constant_325197" type="Convert" version="opset1">
+		<layer id="271" name="Constant_117144" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -3637,7 +3776,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="245" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="272" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3659,8 +3798,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="246" name="Constant_325198_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="315526530" size="5120" />
+		<layer id="273" name="Constant_117145_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="310676742" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3669,7 +3808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="247" name="Constant_325198" type="Convert" version="opset1">
+		<layer id="274" name="Constant_117145" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -3689,7 +3828,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="248" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="275" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3704,15 +3843,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="441">
+				<port id="2" precision="FP32" names="473">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="249" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="315531650" size="52428800" />
+		<layer id="276" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="310681862" size="52428800" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
@@ -3720,7 +3859,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="250" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="277" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -3738,7 +3877,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="251" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="278" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3759,37 +3898,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="252" name="Constant_325199_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="367960450" size="20480" />
+		<layer id="279" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="363110662" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="253" name="Constant_325199" type="Convert" version="opset1">
+		<layer id="280" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="254" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="281" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3798,20 +3931,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="446">
+				<port id="2" precision="FP32" names="478,input.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="255" name="__module.model.gpt_neox.layers.0.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="282" name="__module.model.gpt_neox.layers.0.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3821,15 +3952,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="447">
+				<port id="1" precision="FP32" names="479">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="256" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="367980930" size="52428800" />
+		<layer id="283" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="363131142" size="52428800" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight">
 					<dim>2560</dim>
@@ -3837,7 +3968,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="257" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="284" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -3855,7 +3986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="258" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="285" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3876,37 +4007,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="259" name="Constant_325200_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="420409730" size="5120" />
+		<layer id="286" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="415559942" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="260" name="Constant_325200" type="Convert" version="opset1">
+		<layer id="287" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="261" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="288" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3915,20 +4040,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="450,input.5">
+				<port id="2" precision="FP32" names="482,input.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="262" name="__module.model.gpt_neox.layers.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="289" name="__module.model.gpt_neox.layers.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3943,14 +4066,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="452,454,hidden_states.3">
+				<port id="2" precision="FP32" names="484,486,input.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="263" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="290" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -3958,7 +4081,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="264" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="291" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3978,8 +4101,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="Constant_325201_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="420414850" size="5120" />
+		<layer id="292" name="Constant_117146_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="415565062" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3988,7 +4111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="Constant_325201" type="Convert" version="opset1">
+		<layer id="293" name="Constant_117146" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4008,7 +4131,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="294" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4030,8 +4153,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="Constant_325202_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="420419970" size="5120" />
+		<layer id="295" name="Constant_117147_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="415570182" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4040,7 +4163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="269" name="Constant_325202" type="Convert" version="opset1">
+		<layer id="296" name="Constant_117147" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4060,7 +4183,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="270" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="297" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4075,15 +4198,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="464">
+				<port id="2" precision="FP32" names="496,hidden_states.3">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 2560" offset="420425090" size="39321600" />
+		<layer id="298" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="415575302" size="39321600" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.attention.query_key_value.weight">
 					<dim>7680</dim>
@@ -4091,7 +4214,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="272" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="299" name="__module.model.gpt_neox.layers.1.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4109,7 +4232,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="273" name="__module.model.gpt_neox.layers.1.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="300" name="__module.model.gpt_neox.layers.1.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4130,37 +4253,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="Constant_325203_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="459746690" size="15360" />
+		<layer id="301" name="self.model.gpt_neox.layers.1.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="454896902" size="15360" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.attention.query_key_value.bias">
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="Constant_325203" type="Convert" version="opset1">
+		<layer id="302" name="__module.model.gpt_neox.layers.1.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="__module.model.gpt_neox.layers.1.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="303" name="__module.model.gpt_neox.layers.1.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4169,20 +4286,18 @@
 					<dim>7680</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="471,qkv.5">
+				<port id="2" precision="FP32" names="503">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="__module.model.gpt_neox.layers.1.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="304" name="Constant_125438" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -4193,7 +4308,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="__module.model.gpt_neox.layers.1.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="305" name="__module.model.gpt_neox.layers.1.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4206,7 +4321,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="475,qkv.7">
+				<port id="2" precision="FP32" names="505">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -4214,41 +4329,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="Constant_294734" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="280" name="Constant_294737" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="281" name="Constant_294740" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="306" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="307" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4256,47 +4345,46 @@
 					<dim>32</dim>
 					<dim>240</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="476">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="506,qkv.3">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="283" name="Constant_803" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="477">
-					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="308" name="__module.model.gpt_neox.layers.1.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="478,query.7">
+				<port id="3" precision="FP32" names="508,q.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="509,k.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="5" precision="FP32" names="510,value_states.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -4304,41 +4392,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="Constant_294746" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="309" name="Constant_1432" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="Constant_294749" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="310" name="Constant_1435" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="Constant_294752" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="311" name="Constant_1430" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="312" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4347,17 +4425,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="485,q.3">
+				<port id="5" precision="FP32" names="514,q_rot.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -4365,165 +4446,256 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="self.model.gpt_neox.layers.1.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
-			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="313" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="290" name="self.model.gpt_neox.layers.1.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="518">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="314" name="Constant_1614" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="Constant_294758" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="293" name="Constant_294761" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="315" name="Constant_1616" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="Constant_294764" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="316" name="Constant_1573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="317" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_1" type="Slice" version="opset8">
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>80</dim>
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+					<dim>1</dim>
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+					<dim>1</dim>
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 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="528,x2.5">
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 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
-		<layer id="296" name="ShapeOf_338000" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="318" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="319" name="__module.model.gpt_neox.layers.1.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="320" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="529">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="321" name="Constant_1481" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="322" name="Constant_1522" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="299" name="Gather_338003" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="323" name="Constant_1479" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_2" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="523,x1.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="489">
+				<port id="2" precision="FP32" names="531">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="326" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="532">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="327" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="533,551,q_embed.3,query.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="300" name="Constant_432664_compressed" type="Const" version="opset1">
+		<layer id="328" name="Constant_128016_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="301" name="Constant_432664" type="Convert" version="opset1">
+		<layer id="329" name="Constant_128016" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -4535,7 +4707,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="302" name="Constant_432657" type="Const" version="opset1">
+		<layer id="330" name="Constant_128009" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4543,7 +4715,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="303" name="Constant_432659" type="Const" version="opset1">
+		<layer id="331" name="Constant_128011" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4551,7 +4723,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="Constant_432661" type="Const" version="opset1">
+		<layer id="332" name="Constant_128013" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4559,7 +4731,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="305" name="Concat_432662" type="Concat" version="opset1">
+		<layer id="333" name="Concat_128014" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4581,7 +4753,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="306" name="Broadcast_432665" type="Broadcast" version="opset3">
+		<layer id="334" name="Broadcast_128017" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -4598,7 +4770,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="307" name="ReadValue_417286" type="ReadValue" version="opset6">
+		<layer id="335" name="ReadValue_127421" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.1.keypresent.1.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4617,13 +4789,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="308" name="Constant_401896" type="Const" version="opset1">
+		<layer id="336" name="Constant_126823" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="309" name="Gather_401897" type="Gather" version="opset8">
+		<layer id="337" name="Gather_126824" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4646,8 +4818,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="ShapeOf_338005" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="338" name="Constant_1450" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="339" name="Constant_1453" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="Constant_1448" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="341" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4655,101 +4850,172 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="516,k_rot.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="Constant_338006" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="342" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="534">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="312" name="Constant_338007" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="343" name="Constant_1823" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="313" name="Gather_338008" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="344" name="Constant_1825" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" names="491" />
 			</output>
 		</layer>
-		<layer id="314" name="Constant_337594" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="345" name="Constant_1782" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="315" name="Reshape_340907" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="346" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="5" precision="FP32" names="544,x2.7">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
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+		<layer id="347" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="348" name="__module.model.gpt_neox.layers.1.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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+		<layer id="349" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32" />
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+					<dim>32</dim>
+					<dim>-1</dim>
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+		<layer id="350" name="Constant_1690" type="Const" version="opset1">
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+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
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+		<layer id="351" name="Constant_1731" type="Const" version="opset1">
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 			<output>
-				<port id="2" precision="I64" names="490,494,495,seq_len.5">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="352" name="Constant_1688" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="318" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="353" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -4761,60 +5027,70 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="498,501,cos.5">
+				<port id="5" precision="FP32" names="539,x1.7">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="319" name="Constant_38233" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="320" name="__module.model.gpt_neox.layers.1.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="354" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="504">
+				<port id="2" precision="FP32" names="547">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="321" name="__module.model.gpt_neox.layers.1.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="355" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="505,cos.7">
+				<port id="2" precision="FP32" names="548">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="322" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="356" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4825,13 +5101,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="509">
+				<port id="2" precision="FP32" names="549,553,k_embed.3,key_states.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -4839,30 +5115,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="323" name="Constant_294769" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="324" name="Constant_294768" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="325" name="__module.model.gpt_neox.layers.1.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="357" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4870,93 +5124,69 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="326" name="__module.model.gpt_neox.layers.1.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="327" name="__module.model.gpt_neox.layers.1.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="510,515" />
+				<port id="2" precision="FP32" names="key.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="328" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="358" name="Constant_128004_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="329" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="359" name="Constant_128004" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="512,513,517,518" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="330" name="Constant_337596" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="360" name="Constant_127997" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="361" name="Constant_127999" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="332" name="Constant_294767" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="362" name="Constant_128001" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="333" name="ScatterUpdate_294770" type="ScatterUpdate" version="opset3">
+		<layer id="363" name="Concat_128002" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -4964,7 +5194,7 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
@@ -4974,138 +5204,143 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="334" name="Constant_294773" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="364" name="Broadcast_128005" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="335" name="Constant_294776" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="365" name="ReadValue_127423" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.1.valuepresent.1.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.1.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="366" name="Constant_126826" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="367" name="Gather_126827" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="519,x2.5">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="337" name="Constant_325204_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="Constant_325204" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="368" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="369" name="__module.model.gpt_neox.layers.1.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="520">
+				<port id="5" precision="FP32" names="566,attn_output.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="340" name="Constant_294821" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="341" name="Constant_294826" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="370" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="342" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="371" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5113,589 +5348,735 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="514">
+				<port id="2" precision="FP32" names="567">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
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+		<layer id="408" name="Constant_117151" type="Convert" version="opset1">
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+		<layer id="414" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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+		<layer id="415" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="416" name="Constant_125439" type="Const" version="opset1">
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@@ -5705,52 +6086,137 @@
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+		<layer id="417" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 				<port id="1" precision="I64">
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 				</port>
-				<port id="2" precision="I64">
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+			</output>
+		</layer>
+		<layer id="418" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
+			<output>
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
+			</output>
+		</layer>
+		<layer id="419" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="530">
+				<port id="2" precision="FP32" names="617,qkv.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="420" name="__module.model.gpt_neox.layers.2.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="619,q.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="620,k.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="5" precision="FP32" names="621,value_states.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="421" name="Constant_2140" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="422" name="Constant_2143" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="423" name="Constant_2138" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="424" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="538">
+				<port id="5" precision="FP32" names="625,q_rot.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5758,7 +6224,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="425" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5775,16 +6241,128 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="539">
+				<port id="2" precision="FP32" names="629">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="Constant_2322" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="Constant_2324" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="428" name="Constant_2281" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="429" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="639,x2.9">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="430" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="431" name="__module.model.gpt_neox.layers.2.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="383" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="432" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="640">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="Constant_2189" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="Constant_2230" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="Constant_2187" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5792,15 +6370,71 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="634,x1.9">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="437" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="642">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="540,544">
+				<port id="2" precision="FP32" names="643">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5808,8 +6442,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="__module.model.gpt_neox.layers.1.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="439" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5825,7 +6459,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.1.key">
+				<port id="2" precision="FP32" names="644,662,q_embed.5,query.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5833,13 +6467,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="Constant_432677_compressed" type="Const" version="opset1">
+		<layer id="440" name="Constant_128040_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="386" name="Constant_432677" type="Convert" version="opset1">
+		<layer id="441" name="Constant_128040" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -5851,7 +6485,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="387" name="Constant_432670" type="Const" version="opset1">
+		<layer id="442" name="Constant_128033" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5859,7 +6493,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="Constant_432672" type="Const" version="opset1">
+		<layer id="443" name="Constant_128035" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5867,7 +6501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="Constant_432674" type="Const" version="opset1">
+		<layer id="444" name="Constant_128037" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5875,7 +6509,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="Concat_432675" type="Concat" version="opset1">
+		<layer id="445" name="Concat_128038" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5897,7 +6531,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="Broadcast_432678" type="Broadcast" version="opset3">
+		<layer id="446" name="Broadcast_128041" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -5914,8 +6548,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="ReadValue_417288" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.1.valuepresent.1.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="447" name="ReadValue_127465" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.2.keypresent.2.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5925,7 +6559,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.1.value">
+				<port id="1" precision="FP32" names="past_key_values.2.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5933,13 +6567,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="Constant_401899" type="Const" version="opset1">
+		<layer id="448" name="Constant_126829" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="394" name="Gather_401900" type="Gather" version="opset8">
+		<layer id="449" name="Gather_126830" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5962,89 +6596,78 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="Constant_294984" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="450" name="Constant_2158" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="396" name="Constant_294987" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="451" name="Constant_2161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="Constant_294990" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="452" name="Constant_2156" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="453" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="482">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="627,k_rot.5">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="Constant_831" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="483">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
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 		</layer>
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+		<layer id="459" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Constant_1" type="Const" version="opset1">
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+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="460" name="__module.model.gpt_neox.layers.2.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
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 		</layer>
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+		<layer id="461" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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-				<port id="1" precision="I64">
-					<dim>4</dim>
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="463" name="Constant_2439" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="464" name="Constant_2396" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="465" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -57755,183 +6797,134 @@
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 				</port>
 				<port id="1" precision="I64">
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-					<dim>80</dim>
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 		</layer>
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="466" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
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+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="467" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
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-				<port id="2" precision="I64">
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="468" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="660,664,k_embed.5,key_states.7">
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 			</output>
 		</layer>
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-		</layer>
-		<layer id="3799" name="Gather_339459" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="469" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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 			<input>
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="2873">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.9">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3800" name="Constant_433080_compressed" type="Const" version="opset1">
+		<layer id="470" name="Constant_128028_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3801" name="Constant_433080" type="Convert" version="opset1">
+		<layer id="471" name="Constant_128028" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57943,7 +6936,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3802" name="Constant_433073" type="Const" version="opset1">
+		<layer id="472" name="Constant_128021" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -57951,7 +6944,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3803" name="Constant_433075" type="Const" version="opset1">
+		<layer id="473" name="Constant_128023" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -57959,7 +6952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3804" name="Constant_433077" type="Const" version="opset1">
+		<layer id="474" name="Constant_128025" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -57967,7 +6960,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3805" name="Concat_433078" type="Concat" version="opset1">
+		<layer id="475" name="Concat_128026" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -57989,7 +6982,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3806" name="Broadcast_433081" type="Broadcast" version="opset3">
+		<layer id="476" name="Broadcast_128029" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -58006,8 +6999,8 @@
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 		</layer>
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+		<layer id="477" name="ReadValue_127467" type="ReadValue" version="opset6">
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 				<port id="0" precision="FP32">
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@@ -58017,7 +7010,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.17.key">
+				<port id="1" precision="FP32" names="past_key_values.2.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58025,13 +7018,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3808" name="Constant_401992" type="Const" version="opset1">
+		<layer id="478" name="Constant_126832" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="3809" name="Gather_401993" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58054,8 +7047,8 @@
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 			</output>
 		</layer>
-		<layer id="3810" name="ShapeOf_339461" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="480" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58063,707 +7056,805 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="value.9">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="481" name="__module.model.gpt_neox.layers.2.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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+				<port id="0" precision="FP32">
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+					<dim>80</dim>
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+				<port id="2" precision="FP32">
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+				<port id="3" precision="FP32">
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+					<dim>-1</dim>
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+				<port id="4" precision="FP32" />
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 			<output>
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+				<port id="5" precision="FP32" names="677,attn_output.13">
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 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="482" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Constant_1" type="Const" version="opset1">
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 			</output>
 		</layer>
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+				<port id="0" precision="FP32">
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 			</output>
 		</layer>
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 			<data special_zero="false" />
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 				<port id="1" precision="I64">
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 		</layer>
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 			<rt_info>
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 		</layer>
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 		</layer>
-		<layer id="3851" name="__module.model.gpt_neox.layers.17.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="521" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+				<port id="2" precision="FP32" names="718,hidden_states.7">
 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
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 		</layer>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+		<layer id="522" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="730281222" size="39321600" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.3.attention.query_key_value.weight">
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-					<dim>-1</dim>
-					<dim>1</dim>
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-					<dim>80</dim>
+			</output>
+		</layer>
+		<layer id="523" name="__module.model.gpt_neox.layers.3.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3853" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="524" name="__module.model.gpt_neox.layers.3.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2908,2926,2936,query.105,query.107">
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 					<dim>-1</dim>
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+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="3854" name="Constant_10113" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="525" name="self.model.gpt_neox.layers.3.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="769602822" size="15360" />
 			<output>
-				<port id="0" precision="I64" names="2864">
-					<dim>4</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.3.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="526" name="__module.model.gpt_neox.layers.3.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3855" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="527" name="__module.model.gpt_neox.layers.3.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2865,key.103">
+				<port id="2" precision="FP32" names="725">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3856" name="Constant_300488" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
+		<layer id="528" name="Constant_125440" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -58773,74 +7864,83 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3857" name="Constant_300491" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="529" name="__module.model.gpt_neox.layers.3.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="727">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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 			</output>
 		</layer>
-		<layer id="3858" name="Constant_300494" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="530" name="__module.model.gpt_neox.layers.3.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="531" name="__module.model.gpt_neox.layers.3.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2871,k.35">
+				<port id="2" precision="FP32" names="728,qkv.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3860" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="532" name="__module.model.gpt_neox.layers.3.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="730,q.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="4" precision="FP32" names="731,k.7">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="2909">
+				<port id="5" precision="FP32" names="732,value_states.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58848,30 +7948,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3861" name="Constant_300498" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="533" name="Constant_2848" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3862" name="Constant_300497" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="534" name="Constant_2851" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="535" name="Constant_2846" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="536" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58879,134 +7980,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3864" name="__module.model.gpt_neox.layers.17.attention/aten::size/Constant_7" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
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-			<output>
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-		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
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-		</layer>
-		<layer id="3867" name="__module.model.gpt_neox.layers.17.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
 			</input>
 			<output>
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-			<data element_type="i64" shape="1" offset="297886946" size="8" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="736,q_rot.7">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="537" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="740">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="538" name="Constant_3030" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
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 				<port id="0" precision="I64">
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="539" name="Constant_3032" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="540" name="Constant_2989" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3874" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="541" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59015,17 +8060,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="750,x2.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59033,40 +8081,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3875" name="Constant_325365_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="542" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="3876" name="Constant_325365" type="Convert" version="opset1">
+		<layer id="543" name="__module.model.gpt_neox.layers.3.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3877" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="544" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59075,15 +8105,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="751">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59091,30 +8116,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3878" name="Constant_300550" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="545" name="Constant_2897" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3879" name="Constant_300555" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="546" name="Constant_2938" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="547" name="Constant_2895" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3880" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="548" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59123,17 +8149,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2914">
+				<port id="5" precision="FP32" names="745,x1.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59141,7 +8170,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3881" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="549" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59158,7 +8187,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2922">
+				<port id="2" precision="FP32" names="753">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59166,7 +8195,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3882" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="550" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59183,7 +8212,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2923">
+				<port id="2" precision="FP32" names="754">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59191,7 +8220,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3883" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="551" name="__module.model.gpt_neox.layers.3.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59208,32 +8237,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2924,2928">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3884" name="__module.model.gpt_neox.layers.17.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.17.key">
+				<port id="2" precision="FP32" names="755,773,q_embed.7,query.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59241,13 +8245,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3885" name="Constant_433093_compressed" type="Const" version="opset1">
+		<layer id="552" name="Constant_128064_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3886" name="Constant_433093" type="Convert" version="opset1">
+		<layer id="553" name="Constant_128064" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59259,7 +8263,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3887" name="Constant_433086" type="Const" version="opset1">
+		<layer id="554" name="Constant_128057" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59267,7 +8271,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3888" name="Constant_433088" type="Const" version="opset1">
+		<layer id="555" name="Constant_128059" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59275,7 +8279,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3889" name="Constant_433090" type="Const" version="opset1">
+		<layer id="556" name="Constant_128061" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59283,7 +8287,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3890" name="Concat_433091" type="Concat" version="opset1">
+		<layer id="557" name="Concat_128062" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -59305,7 +8309,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3891" name="Broadcast_433094" type="Broadcast" version="opset3">
+		<layer id="558" name="Broadcast_128065" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -59322,8 +8326,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3892" name="ReadValue_417320" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.17.valuepresent.17.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="559" name="ReadValue_127509" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.3.keypresent.3.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59333,7 +8337,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.17.value">
+				<port id="1" precision="FP32" names="past_key_values.3.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59341,13 +8345,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3893" name="Constant_401995" type="Const" version="opset1">
+		<layer id="560" name="Constant_126835" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3894" name="Gather_401996" type="Gather" version="opset8">
+		<layer id="561" name="Gather_126836" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59370,89 +8374,78 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3895" name="Constant_300600" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="562" name="Constant_2866" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3896" name="Constant_300603" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="563" name="Constant_2869" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3897" name="Constant_300606" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="564" name="Constant_2864" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3898" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="565" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2866">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="738,k_rot.7">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3899" name="Constant_10127" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="2867">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3900" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="566" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2868">
+				<port id="2" precision="FP32" names="756">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59460,8 +8453,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3901" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="567" name="Constant_3239" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="568" name="Constant_3241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="569" name="Constant_3198" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="570" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59469,57 +8485,88 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="766,x2.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="571" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="572" name="__module.model.gpt_neox.layers.3.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="573" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
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 			<output>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="574" name="Constant_3106" type="Const" version="opset1">
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+		<layer id="575" name="Constant_3147" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="576" name="Constant_3104" type="Const" version="opset1">
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 		</layer>
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-			<data output_type="i64" />
+		<layer id="577" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_6" type="Slice" version="opset8">
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@@ -59527,56 +8574,105 @@
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 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
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+				<port id="5" precision="FP32" names="761,x1.15">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="578" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="769">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="579" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="770">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3909" name="Add_339470" type="Add" version="opset1">
+		<layer id="580" name="__module.model.gpt_neox.layers.3.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="771,775,k_embed.7,key_states.9">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="3910" name="ShapeOf_339537" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="581" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59584,94 +8680,69 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="key.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="582" name="Constant_128052_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
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+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3912" name="Constant_339539" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="583" name="Constant_128052" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
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-			<output>
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-			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2942,2943" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="584" name="Constant_128045" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="585" name="Constant_128047" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="586" name="Constant_128049" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3918" name="ScatterUpdate_300611" type="ScatterUpdate" version="opset3">
+		<layer id="587" name="Concat_128050" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -59679,540 +8750,559 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3919" name="Constant_300612" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="588" name="Broadcast_128053" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3920" name="Constant_337762" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="589" name="ReadValue_127511" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.3.valuepresent.3.value" variable_type="f32" variable_shape="?,32,?,80" />
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.3.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
-			<input>
+		<layer id="590" name="Constant_126838" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
 				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="591" name="Gather_126839" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
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 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="592" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat_5" type="Concat" version="opset1">
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 			<input>
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-				<port id="2" precision="I64">
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 				</port>
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-					<dim>1</dim>
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
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-				<attribute name="precise" version="0" />
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-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="value.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="593" name="__module.model.gpt_neox.layers.3.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 			<output>
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 					<dim>-1</dim>
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-					<dim>4</dim>
+		<layer id="595" name="__module.model.gpt_neox.layers.3.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
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+					<dim>32</dim>
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 		</layer>
-		<layer id="3949" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="617" name="__module.model.gpt_neox.layers.3.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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-			<data special_zero="true" />
+		<layer id="618" name="__module.model.gpt_neox.layers.3.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
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-				<port id="1" precision="I64">
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+				<port id="1" precision="FP32" names="812">
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-			<data element_type="f16" shape="2560, 2560" offset="2977409410" size="13107200" />
+		<layer id="619" name="self.model.gpt_neox.layers.3.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="835190022" size="52428800" />
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+					<dim>10240</dim>
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 		</layer>
-		<layer id="3953" name="self.model.gpt_neox.layers.17.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="620" name="__module.model.gpt_neox.layers.3.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -60220,27 +9310,27 @@
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-		<layer id="3954" name="__module.model.gpt_neox.layers.17.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="621" name="__module.model.gpt_neox.layers.3.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -60251,37 +9341,31 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="2990516610" size="5120" />
+		<layer id="622" name="self.model.gpt_neox.layers.3.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="887618822" size="5120" />
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-					<dim>1</dim>
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 		</layer>
-		<layer id="3956" name="Constant_325366" type="Convert" version="opset1">
+		<layer id="623" name="__module.model.gpt_neox.layers.3.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 		</layer>
-		<layer id="3957" name="__module.model.gpt_neox.layers.17.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="624" name="__module.model.gpt_neox.layers.3.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -60290,20 +9374,18 @@
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 		</layer>
-		<layer id="3958" name="__module.model.gpt_neox.layers.17/aten::add/Add" type="Add" version="opset1">
+		<layer id="625" name="__module.model.gpt_neox.layers.3/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -60318,14 +9400,14 @@
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 			</input>
 			<output>
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 		</layer>
-		<layer id="3959" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="626" name="__module.model.gpt_neox.layers.4.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
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@@ -60333,7 +9415,7 @@
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 			</output>
 		</layer>
-		<layer id="3960" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="627" name="__module.model.gpt_neox.layers.4.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -60353,8 +9435,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 2560" offset="2990521730" size="5120" />
+		<layer id="628" name="Constant_117158_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -60363,7 +9445,7 @@
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 			</output>
 		</layer>
-		<layer id="3962" name="Constant_325367" type="Convert" version="opset1">
+		<layer id="629" name="Constant_117158" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -60383,7 +9465,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3963" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="630" name="__module.model.gpt_neox.layers.4.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60405,8 +9487,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3964" name="Constant_325368_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="2990526850" size="5120" />
+		<layer id="631" name="Constant_117159_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="887629062" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -60415,7 +9497,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3965" name="Constant_325368" type="Convert" version="opset1">
+		<layer id="632" name="Constant_117159" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -60435,7 +9517,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3966" name="__module.model.gpt_neox.layers.17.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -60450,41 +9532,41 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2974">
+				<port id="2" precision="FP32" names="829,hidden_states.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="10240, 2560" offset="2990531970" size="52428800" />
+		<layer id="634" name="self.model.gpt_neox.layers.4.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="887634182" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight">
-					<dim>10240</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.4.attention.query_key_value.weight">
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3968" name="self.model.gpt_neox.layers.17.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="635" name="__module.model.gpt_neox.layers.4.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3969" name="__module.model.gpt_neox.layers.17.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="636" name="__module.model.gpt_neox.layers.4.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -60493,7 +9575,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
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@@ -60501,548 +9583,647 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>7680</dim>
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 		</layer>
-		<layer id="3970" name="Constant_325369_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="3042960770" size="20480" />
+		<layer id="637" name="self.model.gpt_neox.layers.4.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="926955782" size="15360" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.4.attention.query_key_value.bias">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3971" name="Constant_325369" type="Convert" version="opset1">
+		<layer id="638" name="__module.model.gpt_neox.layers.4.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
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 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
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+					<dim>7680</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3972" name="__module.model.gpt_neox.layers.17.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="639" name="__module.model.gpt_neox.layers.4.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>10240</dim>
+					<dim>7680</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2979">
+				<port id="2" precision="FP32" names="836">
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 					<dim>-1</dim>
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 		</layer>
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-			<data approximation_mode="ERF" />
+		<layer id="640" name="Constant_125441" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="641" name="__module.model.gpt_neox.layers.4.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>7680</dim>
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+				<port id="1" precision="I64">
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 			<output>
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
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+		<layer id="642" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
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-					<dim>10240</dim>
+				<port id="0" precision="I32">
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-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="643" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="FP16">
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-					<dim>10240</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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 		</layer>
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-		</layer>
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+		<layer id="678" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>32</dim>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -61050,41 +10231,31 @@
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 		</layer>
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="680" name="Constant_3949" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="681" name="Constant_3906" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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+		<layer id="682" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -61093,183 +10264,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="877,x2.19">
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 					<dim>32</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
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+		<layer id="683" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Constant_1" type="Const" version="opset1">
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-					<dim>80</dim>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
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+		<layer id="684" name="__module.model.gpt_neox.layers.4.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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-					<dim>80</dim>
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-					<dim>80</dim>
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 		</layer>
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 				<port id="0" precision="I64">
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 				<port id="0" precision="I64">
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+					<dim>80</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 			<output>
-				<port id="3" precision="I64" names="3022">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.17">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4018" name="Constant_433106_compressed" type="Const" version="opset1">
+		<layer id="694" name="Constant_128076_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4019" name="Constant_433106" type="Convert" version="opset1">
+		<layer id="695" name="Constant_128076" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -61281,7 +10492,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4020" name="Constant_433099" type="Const" version="opset1">
+		<layer id="696" name="Constant_128069" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
@@ -61289,7 +10500,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4021" name="Constant_433101" type="Const" version="opset1">
+		<layer id="697" name="Constant_128071" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -61297,7 +10508,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4022" name="Constant_433103" type="Const" version="opset1">
+		<layer id="698" name="Constant_128073" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -61305,7 +10516,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4023" name="Concat_433104" type="Concat" version="opset1">
+		<layer id="699" name="Concat_128074" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -61327,7 +10538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4024" name="Broadcast_433107" type="Broadcast" version="opset3">
+		<layer id="700" name="Broadcast_128077" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -61344,8 +10555,8 @@
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 			</output>
 		</layer>
-		<layer id="4025" name="ReadValue_417322" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.18.keypresent.18.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="701" name="ReadValue_127523" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.4.valuepresent.4.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61355,7 +10566,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.18.key">
+				<port id="1" precision="FP32" names="past_key_values.4.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -61363,13 +10574,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4026" name="Constant_401998" type="Const" version="opset1">
+		<layer id="702" name="Constant_126844" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4027" name="Gather_401999" type="Gather" version="opset8">
+		<layer id="703" name="Gather_126845" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -61392,8 +10603,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4028" name="ShapeOf_339552" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="704" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61401,387 +10612,670 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="value.17">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4029" name="Constant_339553" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="705" name="__module.model.gpt_neox.layers.4.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="2" precision="FP32">
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+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="3" precision="FP32">
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+					<dim>-1</dim>
+					<dim>-1</dim>
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+				<port id="4" precision="FP32" />
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 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="899,attn_output.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="706" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
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+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4031" name="Gather_339555" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="707" name="__module.model.gpt_neox.layers.4.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3024" />
+				<port id="2" precision="FP32" names="900">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
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+		<layer id="708" name="__module.model.gpt_neox.layers.4.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			</input>
+			<output>
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+					<dim>-1</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="709" name="self.model.gpt_neox.layers.4.attention.dense.weight" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.4.attention.dense.weight">
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4033" name="Reshape_340941" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="710" name="__module.model.gpt_neox.layers.4.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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-				<port id="1" precision="I64">
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+				<port id="0" precision="FP16">
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 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="711" name="__module.model.gpt_neox.layers.4.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 			<input>
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 			</input>
 			<output>
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 			</output>
 		</layer>
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+		<layer id="712" name="self.model.gpt_neox.layers.4.attention.dense.bias" type="Const" version="opset1">
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+		<layer id="713" name="__module.model.gpt_neox.layers.4.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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 			<rt_info>
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+				<attribute name="decompression" version="0" />
 			</rt_info>
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 			<output>
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 				<port id="0" precision="FP32">
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+		<layer id="717" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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 		</layer>
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@@ -61790,309 +11284,219 @@
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-			<data axis="-1" />
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 		</layer>
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-					<dim>80</dim>
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 				</port>
 			</output>
 		</layer>
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+		<layer id="750" name="__module.model.gpt_neox.layers.5.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="751" name="__module.model.gpt_neox.layers.5.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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+				<port id="1" precision="FP32">
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+		<layer id="752" name="Constant_125442" type="Const" version="opset1">
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+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64">
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+				</port>
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 		</layer>
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+		<layer id="753" name="__module.model.gpt_neox.layers.5.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+				<port id="2" precision="FP32" names="949">
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 		</layer>
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+		<layer id="754" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Constant" type="Const" version="opset1">
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 			<output>
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-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32">
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="755" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 					<dim>-1</dim>
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-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="950,qkv.11">
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 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4071" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="756" name="__module.model.gpt_neox.layers.5.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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-					<dim>32</dim>
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+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3057,3075,3085,query.111,query.113">
+				<port id="3" precision="FP32" names="952,q.11">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="953,k.11">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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-			<output>
-				<port id="2" precision="FP32" names="3014,key.109">
+				<port id="5" precision="FP32" names="954,value_states.11">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62100,41 +11504,31 @@
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 			</output>
 		</layer>
-		<layer id="4074" name="Constant_300839" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="757" name="Constant_4264" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="758" name="Constant_4267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4076" name="Constant_300845" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="759" name="Constant_4262" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4077" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="760" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62143,17 +11537,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3020,k.37">
+				<port id="5" precision="FP32" names="958,q_rot.11">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62161,7 +11558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4078" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="761" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62178,7 +11575,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3058">
+				<port id="2" precision="FP32" names="962">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62186,165 +11583,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4079" name="Constant_300849" type="Const" version="opset1">
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-		<layer id="4080" name="Constant_300848" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="762" name="Constant_4446" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="763" name="Constant_4448" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="764" name="Constant_4405" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I32">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="765" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62353,17 +11616,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62371,40 +11637,22 @@
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 			</output>
 		</layer>
-		<layer id="4093" name="Constant_325375_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="766" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4094" name="Constant_325375" type="Convert" version="opset1">
+		<layer id="767" name="__module.model.gpt_neox.layers.5.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
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-					<dim>1</dim>
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+				<port id="0" precision="I32" />
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4095" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="768" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62413,15 +11661,10 @@
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 					<dim>40</dim>
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-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="973">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62429,30 +11672,31 @@
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 			</output>
 		</layer>
-		<layer id="4096" name="Constant_300901" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="769" name="Constant_4313" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="770" name="Constant_4354" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="771" name="Constant_4311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="4098" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="772" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62461,17 +11705,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="967,x1.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62479,7 +11726,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4099" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="773" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62496,7 +11743,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3071">
+				<port id="2" precision="FP32" names="975">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62504,7 +11751,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4100" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="774" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62521,7 +11768,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3072">
+				<port id="2" precision="FP32" names="976">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62529,7 +11776,7 @@
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 			</output>
 		</layer>
-		<layer id="4101" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="775" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62546,32 +11793,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3073,3077">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-		</layer>
-		<layer id="4102" name="__module.model.gpt_neox.layers.18.attention/aten::to/Convert_1" type="Concat" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.18.key">
+				<port id="2" precision="FP32" names="977,995,q_embed.11,query.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62579,13 +11801,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4103" name="Constant_433119_compressed" type="Const" version="opset1">
+		<layer id="776" name="Constant_128112_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4104" name="Constant_433119" type="Convert" version="opset1">
+		<layer id="777" name="Constant_128112" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -62597,7 +11819,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4105" name="Constant_433112" type="Const" version="opset1">
+		<layer id="778" name="Constant_128105" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -62605,7 +11827,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4106" name="Constant_433114" type="Const" version="opset1">
+		<layer id="779" name="Constant_128107" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -62613,7 +11835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4107" name="Constant_433116" type="Const" version="opset1">
+		<layer id="780" name="Constant_128109" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -62621,7 +11843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4108" name="Concat_433117" type="Concat" version="opset1">
+		<layer id="781" name="Concat_128110" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -62643,7 +11865,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4109" name="Broadcast_433120" type="Broadcast" version="opset3">
+		<layer id="782" name="Broadcast_128113" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -62660,8 +11882,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4110" name="ReadValue_417324" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.18.valuepresent.18.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="783" name="ReadValue_127525" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.5.keypresent.5.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62671,7 +11893,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.18.value">
+				<port id="1" precision="FP32" names="past_key_values.5.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62679,13 +11901,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4111" name="Constant_402001" type="Const" version="opset1">
+		<layer id="784" name="Constant_126847" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4112" name="Gather_402002" type="Gather" version="opset8">
+		<layer id="785" name="Gather_126848" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62708,89 +11930,78 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4113" name="Constant_300951" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="786" name="Constant_4282" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4114" name="Constant_300954" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="787" name="Constant_4285" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4115" name="Constant_300957" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="788" name="Constant_4280" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="789" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3015">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="960,k_rot.11">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4117" name="Constant_10708" type="Const" version="opset1">
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-		<layer id="4118" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="790" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
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-				<port id="1" precision="I64">
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+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="978">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62798,8 +12009,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4119" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="791" name="Constant_4655" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="792" name="Constant_4657" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="793" name="Constant_4614" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="794" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62807,57 +12041,88 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="988,x2.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="795" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="796" name="__module.model.gpt_neox.layers.5.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="797" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.18.value">
+				<port id="2" precision="FP32" names="989">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4120" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="798" name="Constant_4522" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3094">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4121" name="Constant_300961" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="799" name="Constant_4563" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4122" name="Constant_300960" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="800" name="Constant_4520" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4123" name="ShapeOf_339557" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="801" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62865,56 +12130,105 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4124" name="Constant_339558" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="983,x1.23">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4125" name="Constant_339559" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="802" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="991">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4126" name="Gather_339560" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="803" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="2" precision="FP32" names="992">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4127" name="Add_339561" type="Add" version="opset1">
+		<layer id="804" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3089" />
+				<port id="2" precision="FP32" names="993,997,k_embed.11,key_states.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4128" name="ShapeOf_339628" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="805" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62922,94 +12236,69 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="key.21">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4129" name="Constant_339629" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="806" name="Constant_128100_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4130" name="Constant_339630" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="807" name="Constant_128100" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4131" name="Gather_339631" type="Gather" version="opset8">
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-				<port id="1" precision="I64" />
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-			<output>
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-			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3091,3092" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4133" name="Constant_337770" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="808" name="Constant_128093" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="809" name="Constant_128095" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4135" name="Constant_300959" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="810" name="Constant_128097" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4136" name="ScatterUpdate_300962" type="ScatterUpdate" version="opset3">
+		<layer id="811" name="Concat_128098" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -63017,540 +12306,559 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4137" name="Constant_300963" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="812" name="Broadcast_128101" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4138" name="Constant_337772" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="813" name="ReadValue_127527" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.5.valuepresent.5.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.5.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4140" name="ScatterUpdate_300964" type="ScatterUpdate" version="opset3">
+		<layer id="814" name="Constant_126850" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="815" name="Gather_126851" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="816" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="value.21">
+					<dim>-1</dim>
+					<dim>32</dim>
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+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4165" name="__module.model.gpt_neox.layers.18.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="838" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
+			</input>
+			<output>
 				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="3" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>10240</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="839" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1149875462" size="20480" />
 			<output>
-				<port id="4" precision="FP32" names="3102,3103,sdpa_result.37,tensor.73">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4166" name="Constant_11149" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="840" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="3104">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4167" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="841" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3105">
+				<port id="2" precision="FP32" names="1033,input.57">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="4168" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4169" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="842" name="__module.model.gpt_neox.layers.5.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3110">
+				<port id="1" precision="FP32" names="1034">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4170" name="self.model.gpt_neox.layers.18.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="3134762370" size="13107200" />
+		<layer id="843" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="1149895942" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.18.attention.dense.weight">
-					<dim>2560</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight">
 					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4171" name="self.model.gpt_neox.layers.18.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="844" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63558,27 +12866,27 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4172" name="__module.model.gpt_neox.layers.18.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="845" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
@@ -63589,37 +12897,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4173" name="Constant_325376_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3147869570" size="5120" />
+		<layer id="846" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1202324742" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4174" name="Constant_325376" type="Convert" version="opset1">
+		<layer id="847" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4175" name="__module.model.gpt_neox.layers.18.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="848" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63628,20 +12930,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3113,3115,input.75">
+				<port id="2" precision="FP32" names="1037,input.59">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4176" name="__module.model.gpt_neox.layers.18/aten::add/Add" type="Add" version="opset1">
+		<layer id="849" name="__module.model.gpt_neox.layers.5/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63656,14 +12956,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3119,attn_output.75">
+				<port id="2" precision="FP32" names="1039,1041,input.61">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4177" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="850" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -63671,7 +12971,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4178" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="851" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63691,8 +12991,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4179" name="Constant_325377_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3147874690" size="5120" />
+		<layer id="852" name="Constant_117166_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1202329862" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63701,7 +13001,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4180" name="Constant_325377" type="Convert" version="opset1">
+		<layer id="853" name="Constant_117166" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63721,7 +13021,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4181" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="854" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63743,8 +13043,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4182" name="Constant_325378_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3147879810" size="5120" />
+		<layer id="855" name="Constant_117167_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1202334982" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63753,7 +13053,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4183" name="Constant_325378" type="Convert" version="opset1">
+		<layer id="856" name="Constant_117167" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63773,7 +13073,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4184" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="857" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63788,599 +13088,698 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3123">
+				<port id="2" precision="FP32" names="1051,hidden_states.13">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4185" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="3147884930" size="52428800" />
+		<layer id="858" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="1202340102" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight">
-					<dim>10240</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.6.attention.query_key_value.weight">
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4186" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="859" name="__module.model.gpt_neox.layers.6.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="860" name="__module.model.gpt_neox.layers.6.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="861" name="self.model.gpt_neox.layers.6.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1241661702" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.6.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="862" name="__module.model.gpt_neox.layers.6.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="863" name="__module.model.gpt_neox.layers.6.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1058">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="864" name="Constant_125443" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
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-			<rt_info>
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 		</layer>
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+		<layer id="897" name="Gather_126854" type="Gather" version="opset8">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 				<port id="0" precision="I64">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="901" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_4" type="Slice" version="opset8">
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 					<dim>32</dim>
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 			</input>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
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 		</layer>
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+		<layer id="902" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1089">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -64388,41 +13787,31 @@
 				</port>
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="903" name="Constant_5363" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="904" name="Constant_5365" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="905" name="Constant_5322" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
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+		<layer id="906" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64431,183 +13820,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1099,x2.27">
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 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="907" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
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-					<dim>80</dim>
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+				<port id="0" precision="I32" />
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 		</layer>
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+		<layer id="908" name="__module.model.gpt_neox.layers.6.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			<input>
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-					<dim>80</dim>
+				<port id="0" precision="I32" />
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+			<output>
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+		</layer>
+		<layer id="909" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 			<output>
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-					<dim>80</dim>
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 		</layer>
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 				<port id="0" precision="I64">
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+				<port id="4" precision="I64">
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 					<dim>32</dim>
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 		</layer>
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+		<layer id="915" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
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 					<dim>-1</dim>
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<output>
-				<port id="0" precision="I64">
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+		<layer id="916" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="2" precision="FP32" names="1104,1108,k_embed.13,key_states.15">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="917" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
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+				<port id="0" precision="FP32">
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 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4236" name="Constant_433132_compressed" type="Const" version="opset1">
+		<layer id="918" name="Constant_128124_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
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 		</layer>
-		<layer id="4237" name="Constant_433132" type="Convert" version="opset1">
+		<layer id="919" name="Constant_128124" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64619,7 +14048,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4238" name="Constant_433125" type="Const" version="opset1">
+		<layer id="920" name="Constant_128117" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -64627,7 +14056,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4239" name="Constant_433127" type="Const" version="opset1">
+		<layer id="921" name="Constant_128119" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -64635,7 +14064,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4240" name="Constant_433129" type="Const" version="opset1">
+		<layer id="922" name="Constant_128121" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -64643,7 +14072,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4241" name="Concat_433130" type="Concat" version="opset1">
+		<layer id="923" name="Concat_128122" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -64665,7 +14094,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4242" name="Broadcast_433133" type="Broadcast" version="opset3">
+		<layer id="924" name="Broadcast_128125" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -64682,8 +14111,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4243" name="ReadValue_417326" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.19.keypresent.19.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="925" name="ReadValue_127531" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.6.valuepresent.6.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64693,7 +14122,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.19.key">
+				<port id="1" precision="FP32" names="past_key_values.6.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -64701,13 +14130,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4244" name="Constant_402004" type="Const" version="opset1">
+		<layer id="926" name="Constant_126856" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4245" name="Gather_402005" type="Gather" version="opset8">
+		<layer id="927" name="Gather_126857" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64730,8 +14159,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4246" name="ShapeOf_339643" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="928" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64739,387 +14168,670 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="value.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4247" name="Constant_339644" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="929" name="__module.model.gpt_neox.layers.6.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>80</dim>
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+				<port id="2" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="3" precision="FP32">
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+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="FP32" />
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 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="1121,attn_output.37">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="930" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Constant_1" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4249" name="Gather_339646" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="931" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
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-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3173" />
+				<port id="2" precision="FP32" names="1122">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="932" name="__module.model.gpt_neox.layers.6.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1125">
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+					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
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+					<dim>2560</dim>
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+			</output>
+		</layer>
+		<layer id="934" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 			<input>
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-				<port id="1" precision="I64">
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+				<port id="0" precision="FP16">
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 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="935" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 			<input>
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 			</input>
 			<output>
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 		</layer>
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 			<rt_info>
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+				<attribute name="decompression" version="0" />
 			</rt_info>
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 			<output>
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 				<port id="0" precision="FP32">
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-					<dim>80</dim>
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+		<layer id="967" name="Constant_117171_compressed" type="Const" version="opset1">
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@@ -65128,309 +14840,219 @@
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 					<dim>32</dim>
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@@ -65438,41 +15060,31 @@
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@@ -65481,17 +15093,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3169,k.39">
+				<port id="5" precision="FP32" names="1180,q_rot.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65499,7 +15114,7 @@
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 			</output>
 		</layer>
-		<layer id="4296" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="985" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65516,7 +15131,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3207">
+				<port id="2" precision="FP32" names="1184">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65524,165 +15139,31 @@
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 			</output>
 		</layer>
-		<layer id="4297" name="Constant_301200" type="Const" version="opset1">
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-		<layer id="4298" name="Constant_301199" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="986" name="Constant_5862" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4300" name="__module.model.gpt_neox.layers.19.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4301" name="__module.model.gpt_neox.layers.19.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
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-			</input>
-			<output>
-				<port id="3" precision="I64" names="3208,3213" />
-			</output>
-		</layer>
-		<layer id="4302" name="__module.model.gpt_neox.layers.19.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4303" name="__module.model.gpt_neox.layers.19.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3210,3211,3215,3216" />
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-		</layer>
-		<layer id="4304" name="Constant_337778" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="987" name="Constant_5864" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4305" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			<output>
-				<port id="2" precision="I64">
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-				</port>
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-		</layer>
-		<layer id="4306" name="Constant_301198" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="988" name="Constant_5821" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4307" name="ScatterUpdate_301201" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4308" name="Constant_301204" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4309" name="Constant_301207" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="4310" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="989" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65691,17 +15172,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3217,x2.79">
+				<port id="5" precision="FP32" names="1194,x2.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65709,40 +15193,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4311" name="Constant_325385_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="990" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4312" name="Constant_325385" type="Convert" version="opset1">
+		<layer id="991" name="__module.model.gpt_neox.layers.7.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4313" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="992" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65751,46 +15217,42 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+				<port id="2" precision="FP32" names="1195">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="993" name="Constant_5729" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4314" name="Constant_301252" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="994" name="Constant_5770" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4315" name="Constant_301257" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="995" name="Constant_5727" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4316" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="996" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65799,17 +15261,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3212">
+				<port id="5" precision="FP32" names="1189,x1.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65817,7 +15282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4317" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="997" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65834,7 +15299,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3220">
+				<port id="2" precision="FP32" names="1197">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65842,7 +15307,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4318" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="998" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65859,7 +15324,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3221">
+				<port id="2" precision="FP32" names="1198">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65867,7 +15332,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4319" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="999" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65884,32 +15349,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3222,3226">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4320" name="__module.model.gpt_neox.layers.19.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.19.key">
+				<port id="2" precision="FP32" names="1199,1217,q_embed.15,query.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65917,13 +15357,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4321" name="Constant_433145_compressed" type="Const" version="opset1">
+		<layer id="1000" name="Constant_128160_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4322" name="Constant_433145" type="Convert" version="opset1">
+		<layer id="1001" name="Constant_128160" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -65935,7 +15375,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4323" name="Constant_433138" type="Const" version="opset1">
+		<layer id="1002" name="Constant_128153" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -65943,7 +15383,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4324" name="Constant_433140" type="Const" version="opset1">
+		<layer id="1003" name="Constant_128155" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -65951,7 +15391,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4325" name="Constant_433142" type="Const" version="opset1">
+		<layer id="1004" name="Constant_128157" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -65959,7 +15399,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4326" name="Concat_433143" type="Concat" version="opset1">
+		<layer id="1005" name="Concat_128158" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -65981,7 +15421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4327" name="Broadcast_433146" type="Broadcast" version="opset3">
+		<layer id="1006" name="Broadcast_128161" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -65998,8 +15438,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4328" name="ReadValue_417328" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.19.valuepresent.19.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1007" name="ReadValue_127533" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.7.keypresent.7.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66009,7 +15449,7 @@
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@@ -66017,13 +15457,13 @@
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 			</output>
 		</layer>
-		<layer id="4329" name="Constant_402007" type="Const" version="opset1">
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-		<layer id="4330" name="Gather_402008" type="Gather" version="opset8">
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@@ -66046,89 +15486,53 @@
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="1011" name="Constant_5701" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="1012" name="Constant_5696" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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 			<output>
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+				<port id="5" precision="FP32" names="1182,k_rot.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66136,8 +15540,8 @@
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 			</output>
 		</layer>
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-			<data axis="-2" />
+		<layer id="1014" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -66147,13 +15551,13 @@
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.19.value">
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66161,98 +15565,31 @@
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="1015" name="Constant_6071" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="1016" name="Constant_6073" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1017" name="Constant_6030" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
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-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="1018" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66260,255 +15597,94 @@
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 					<dim>80</dim>
 				</port>
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-				<port id="2" precision="I64">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4365" name="ScatterUpdate_301393" type="ScatterUpdate" version="opset3">
+		<layer id="1025" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -66516,212 +15692,165 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4366" name="Constant_301396" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1205,x1.31">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4367" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1026" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="3245,3246">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1213">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4368" name="__module.model.gpt_neox.layers.19.attention/aten::where/Convert_1_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16" />
-			</output>
-		</layer>
-		<layer id="4369" name="__module.model.gpt_neox.layers.19.attention/aten::where/Convert_1" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16" />
-			</input>
-			<output>
-				<port id="1" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4370" name="__module.model.gpt_neox.layers.19.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="302409036" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="3233" />
-			</output>
-		</layer>
-		<layer id="4371" name="__module.model.gpt_neox.layers.19.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="1027" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3247,causal_mask.77">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1214">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4372" name="Add_316356" type="Add" version="opset1">
+		<layer id="1028" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1215,1219,k_embed.15,key_states.17">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4373" name="ShapeOf_316357" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1029" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="key.29">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4374" name="Constant_339725" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1030" name="Constant_128148_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4375" name="Constant_339726" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="1031" name="Constant_128148" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4376" name="Gather_339727" type="Gather" version="opset8">
-			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3231">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4377" name="Constant_268151" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1032" name="Constant_128141" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4378" name="Constant_268153" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1033" name="Constant_128143" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4379" name="Constant_268155" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1034" name="Constant_128145" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4380" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1035" name="Concat_128146" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -66738,50 +15867,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3248">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4381" name="Maximum_316358" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1036" name="Broadcast_128149" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4382" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1037" name="ReadValue_127535" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.7.valuepresent.7.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.7.value">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="1038" name="Constant_126862" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1039" name="Gather_126863" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3250">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1040" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="value.29">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4383" name="__module.model.gpt_neox.layers.19.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1041" name="__module.model.gpt_neox.layers.7.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66808,9 +15989,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3251,3252,sdpa_result.39,tensor.77">
+				<port id="5" precision="FP32" names="1232,attn_output.43">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66818,15 +16000,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4384" name="Constant_11730" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1042" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3253">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4385" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1043" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66834,12 +16016,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3254">
+				<port id="2" precision="FP32" names="1233">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -66847,19 +16029,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4386" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4387" name="__module.model.gpt_neox.layers.19.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1044" name="__module.model.gpt_neox.layers.7.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66872,23 +16043,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3259">
+				<port id="2" precision="FP32" names="1236">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4388" name="self.model.gpt_neox.layers.19.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="3292115330" size="13107200" />
+		<layer id="1045" name="self.model.gpt_neox.layers.7.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="1399030022" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4389" name="self.model.gpt_neox.layers.19.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="1046" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -66906,13 +16077,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4390" name="__module.model.gpt_neox.layers.19.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1047" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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@@ -66927,37 +16098,31 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="3305222530" size="5120" />
+		<layer id="1048" name="self.model.gpt_neox.layers.7.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1412137222" size="5120" />
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-		<layer id="4392" name="Constant_325386" type="Convert" version="opset1">
+		<layer id="1049" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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-		<layer id="4393" name="__module.model.gpt_neox.layers.19.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1050" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
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@@ -66966,20 +16131,18 @@
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+		<layer id="1051" name="__module.model.gpt_neox.layers.7/aten::add/Add" type="Add" version="opset1">
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@@ -66994,14 +16157,14 @@
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-		<layer id="4395" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1052" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -67009,7 +16172,7 @@
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+		<layer id="1053" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -67029,8 +16192,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="3305227650" size="5120" />
+		<layer id="1054" name="Constant_117172_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -67039,7 +16202,7 @@
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 		</layer>
-		<layer id="4398" name="Constant_325387" type="Convert" version="opset1">
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@@ -67059,7 +16222,7 @@
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-		<layer id="4399" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1056" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67081,8 +16244,8 @@
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-		<layer id="4400" name="Constant_325388_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3305232770" size="5120" />
+		<layer id="1057" name="Constant_117173_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1412147462" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -67091,7 +16254,7 @@
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 			</output>
 		</layer>
-		<layer id="4401" name="Constant_325388" type="Convert" version="opset1">
+		<layer id="1058" name="Constant_117173" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67111,7 +16274,7 @@
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 		</layer>
-		<layer id="4402" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1059" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -67126,23 +16289,23 @@
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 			</input>
 			<output>
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 					<dim>2560</dim>
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-		<layer id="4403" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="3305237890" size="52428800" />
+		<layer id="1060" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="1412152582" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="4404" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="1061" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67160,7 +16323,7 @@
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 			</output>
 		</layer>
-		<layer id="4405" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1062" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67181,37 +16344,31 @@
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 			</output>
 		</layer>
-		<layer id="4406" name="Constant_325389_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="3357666690" size="20480" />
+		<layer id="1063" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1464581382" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="4407" name="Constant_325389" type="Convert" version="opset1">
+		<layer id="1064" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>10240</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4408" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1065" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67220,20 +16377,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
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 					<dim>10240</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3277">
+				<port id="2" precision="FP32" names="1255,input.77">
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 					<dim>-1</dim>
 					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="4409" name="__module.model.gpt_neox.layers.19.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1066" name="__module.model.gpt_neox.layers.7.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67243,23 +16398,23 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="3278">
+				<port id="1" precision="FP32" names="1256">
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 					<dim>-1</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="4410" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="3357687170" size="52428800" />
+		<layer id="1067" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="1464601862" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight">
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 					<dim>2560</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="4411" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="1068" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67277,7 +16432,7 @@
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 		</layer>
-		<layer id="4412" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1069" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67298,37 +16453,31 @@
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 			</output>
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-		<layer id="4413" name="Constant_325390_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3410115970" size="5120" />
+		<layer id="1070" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1517030662" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
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 		</layer>
-		<layer id="4414" name="Constant_325390" type="Convert" version="opset1">
+		<layer id="1071" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="4415" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1072" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67337,20 +16486,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>2560</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3281,input.81">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-		<layer id="4416" name="__module.model.gpt_neox.layers.19/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1073" name="__module.model.gpt_neox.layers.7/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67365,14 +16512,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3283,3285,hidden_states.41">
+				<port id="2" precision="FP32" names="1261,1263,input.81">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="4417" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1074" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
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 				<port id="0" precision="I32">
@@ -67380,7 +16527,7 @@
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 			</output>
 		</layer>
-		<layer id="4418" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1075" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67400,8 +16547,8 @@
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-		<layer id="4419" name="Constant_325391_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3410121090" size="5120" />
+		<layer id="1076" name="Constant_117174_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1517035782" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -67410,7 +16557,7 @@
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 			</output>
 		</layer>
-		<layer id="4420" name="Constant_325391" type="Convert" version="opset1">
+		<layer id="1077" name="Constant_117174" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67430,7 +16577,7 @@
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 		</layer>
-		<layer id="4421" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1078" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67452,8 +16599,8 @@
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 		</layer>
-		<layer id="4422" name="Constant_325392_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3410126210" size="5120" />
+		<layer id="1079" name="Constant_117175_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1517040902" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -67462,7 +16609,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4423" name="Constant_325392" type="Convert" version="opset1">
+		<layer id="1080" name="Constant_117175" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67482,7 +16629,7 @@
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 			</output>
 		</layer>
-		<layer id="4424" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1081" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67497,23 +16644,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3295">
+				<port id="2" precision="FP32" names="1273,hidden_states.17">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4425" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 2560" offset="3410131330" size="39321600" />
+		<layer id="1082" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="1517046022" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.20.attention.query_key_value.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.8.attention.query_key_value.weight">
 					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4426" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="1083" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67531,7 +16678,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4427" name="__module.model.gpt_neox.layers.20.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1084" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67552,37 +16699,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4428" name="Constant_325393_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="3449452930" size="15360" />
+		<layer id="1085" name="self.model.gpt_neox.layers.8.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1556367622" size="15360" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.8.attention.query_key_value.bias">
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4429" name="Constant_325393" type="Convert" version="opset1">
+		<layer id="1086" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4430" name="__module.model.gpt_neox.layers.20.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1087" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67591,20 +16732,18 @@
 					<dim>7680</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3302,qkv.81">
+				<port id="2" precision="FP32" names="1280">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4431" name="__module.model.gpt_neox.layers.20.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="1088" name="Constant_125445" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -67615,7 +16754,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4432" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1089" name="__module.model.gpt_neox.layers.8.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67628,7 +16767,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3306,qkv.83">
+				<port id="2" precision="FP32" names="1282">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -67636,89 +16775,141 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4433" name="Constant_301403" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1090" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4434" name="Constant_301406" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1091" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1283,qkv.17">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1092" name="__module.model.gpt_neox.layers.8.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1285,q.17">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="1286,k.17">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="5" precision="FP32" names="1287,value_states.17">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1093" name="Constant_6388" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4435" name="Constant_301409" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1094" name="Constant_6391" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1095" name="Constant_6386" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4436" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1096" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3307">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1291,q_rot.17">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4437" name="Constant_11842" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3308">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4438" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1097" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3309,query.121">
+				<port id="2" precision="FP32" names="1295">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -67726,41 +16917,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4439" name="Constant_301415" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1098" name="Constant_6570" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4440" name="Constant_301418" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1099" name="Constant_6572" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4441" name="Constant_301421" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1100" name="Constant_6529" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4442" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1101" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67769,183 +16950,198 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3316,q.41">
+				<port id="5" precision="FP32" names="1305,x2.33">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4443" name="self.model.gpt_neox.layers.20.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="1102" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.20.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4444" name="self.model.gpt_neox.layers.20.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="1103" name="__module.model.gpt_neox.layers.8.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1104" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="2" precision="FP32" names="1306">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4445" name="__module.model.gpt_neox.layers.20.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="1105" name="Constant_6437" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4446" name="Constant_301427" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4447" name="Constant_301430" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1106" name="Constant_6478" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4448" name="Constant_301433" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1107" name="Constant_6435" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4449" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1108" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_2" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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+					<dim>1</dim>
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+					<dim>-1</dim>
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 		</layer>
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+		<layer id="1109" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat" type="Concat" version="opset1">
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 				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="1308">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="1110" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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+					<dim>-1</dim>
+					<dim>80</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1309">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4453" name="Gather_339732" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1111" name="__module.model.gpt_neox.layers.8.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="3320">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1310,1328,q_embed.17,query.33">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4454" name="Constant_433158_compressed" type="Const" version="opset1">
+		<layer id="1112" name="Constant_128184_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4455" name="Constant_433158" type="Convert" version="opset1">
+		<layer id="1113" name="Constant_128184" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -67957,7 +17153,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4456" name="Constant_433151" type="Const" version="opset1">
+		<layer id="1114" name="Constant_128177" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -67965,7 +17161,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4457" name="Constant_433153" type="Const" version="opset1">
+		<layer id="1115" name="Constant_128179" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -67973,7 +17169,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4458" name="Constant_433155" type="Const" version="opset1">
+		<layer id="1116" name="Constant_128181" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -67981,7 +17177,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4459" name="Concat_433156" type="Concat" version="opset1">
+		<layer id="1117" name="Concat_128182" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -68003,7 +17199,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4460" name="Broadcast_433159" type="Broadcast" version="opset3">
+		<layer id="1118" name="Broadcast_128185" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -68020,8 +17216,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4461" name="ReadValue_417334" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.20.keypresent.20.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1119" name="ReadValue_127537" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.8.keypresent.8.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68031,7 +17227,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.20.key">
+				<port id="1" precision="FP32" names="past_key_values.8.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -68039,13 +17235,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4462" name="Constant_402010" type="Const" version="opset1">
+		<layer id="1120" name="Constant_126865" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4463" name="Gather_402011" type="Gather" version="opset8">
+		<layer id="1121" name="Gather_126866" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68068,8 +17264,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4464" name="ShapeOf_339734" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1122" name="Constant_6406" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1123" name="Constant_6409" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1124" name="Constant_6404" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1125" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68077,101 +17296,172 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1293,k_rot.17">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4465" name="Constant_339735" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1126" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1311">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4466" name="Constant_339736" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1127" name="Constant_6779" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4467" name="Gather_339737" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="1128" name="Constant_6781" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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 				<port id="0" precision="I64">
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 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1129" name="Constant_6738" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4469" name="Reshape_340945" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="1130" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1321,x2.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1131" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="1132" name="__module.model.gpt_neox.layers.8.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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+		<layer id="1133" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1322">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1134" name="Constant_6646" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1135" name="Constant_6687" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="2" precision="I64" names="3321,3325,3326,seq_len.81">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1136" name="Constant_6644" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1137" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -68183,61 +17473,96 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1316,x1.35">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4473" name="Constant_38347" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="1138" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="2" precision="FP32" names="1324">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4474" name="__module.model.gpt_neox.layers.20.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1139" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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+				<port id="2" precision="FP32" names="1325">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="4475" name="__module.model.gpt_neox.layers.20.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1140" name="__module.model.gpt_neox.layers.8.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1326,1330,k_embed.17,key_states.19">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4476" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1141" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68247,13 +17572,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3340">
+				<port id="2" precision="FP32" names="key.33">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -68261,165 +17586,207 @@
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 			</output>
 		</layer>
-		<layer id="4477" name="Constant_301438" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1142" name="Constant_128172_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4478" name="Constant_301437" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
+		<layer id="1143" name="Constant_128172" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1144" name="Constant_128165" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="1145" name="Constant_128167" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1146" name="Constant_128169" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="1147" name="Concat_128170" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
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-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3341,3346" />
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="1148" name="Broadcast_128173" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4483" name="__module.model.gpt_neox.layers.20.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="1149" name="ReadValue_127539" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.8.valuepresent.8.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 			<output>
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+				<port id="1" precision="FP32" names="past_key_values.8.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4484" name="Constant_337786" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1150" name="Constant_126868" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="1151" name="Gather_126869" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1152" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
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 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.33">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4487" name="ScatterUpdate_301439" type="ScatterUpdate" version="opset3">
+		<layer id="1153" name="__module.model.gpt_neox.layers.8.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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 				</port>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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+				<port id="3" precision="FP32">
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 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1343,attn_output.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1154" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1155" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68427,697 +17794,735 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1344">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="1156" name="__module.model.gpt_neox.layers.8.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3350,x2.81">
+				<port id="2" precision="FP32" names="1347">
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4491" name="Constant_325394_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1157" name="self.model.gpt_neox.layers.8.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="1556382982" size="13107200" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.8.attention.dense.weight">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4492" name="Constant_325394" type="Convert" version="opset1">
+		<layer id="1158" name="__module.model.gpt_neox.layers.8.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4493" name="__module.model.gpt_neox.layers.20.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1159" name="__module.model.gpt_neox.layers.8.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			</output>
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 			<output>
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.8.attention.dense.bias">
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 		</layer>
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+		<layer id="1161" name="__module.model.gpt_neox.layers.8.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
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 			<output>
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+				<port id="1" precision="FP32">
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 			</output>
 		</layer>
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@@ -69127,102 +18532,83 @@
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="4" precision="FP32" names="1397,k.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="3371,3375">
+				<port id="5" precision="FP32" names="1398,value_states.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69230,7 +18616,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4538" name="__module.model.gpt_neox.layers.20.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="1205" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69247,7 +18633,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.20.key">
+				<port id="2" precision="FP32" names="value.37">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69255,13 +18641,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4539" name="Constant_433171_compressed" type="Const" version="opset1">
+		<layer id="1207" name="Constant_128196_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4540" name="Constant_433171" type="Convert" version="opset1">
+		<layer id="1208" name="Constant_128196" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -69273,7 +18659,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4541" name="Constant_433164" type="Const" version="opset1">
+		<layer id="1209" name="Constant_128189" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69281,7 +18667,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4542" name="Constant_433166" type="Const" version="opset1">
+		<layer id="1210" name="Constant_128191" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69289,7 +18675,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4543" name="Constant_433168" type="Const" version="opset1">
+		<layer id="1211" name="Constant_128193" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69297,7 +18683,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4544" name="Concat_433169" type="Concat" version="opset1">
+		<layer id="1212" name="Concat_128194" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -69319,7 +18705,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4545" name="Broadcast_433172" type="Broadcast" version="opset3">
+		<layer id="1213" name="Broadcast_128197" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -69336,8 +18722,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4546" name="ReadValue_417336" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.20.valuepresent.20.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1214" name="ReadValue_127541" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.9.keypresent.9.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69347,7 +18733,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.20.value">
+				<port id="1" precision="FP32" names="past_key_values.9.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69355,13 +18741,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4547" name="Constant_402013" type="Const" version="opset1">
+		<layer id="1215" name="Constant_126871" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4548" name="Gather_402014" type="Gather" version="opset8">
+		<layer id="1216" name="Gather_126872" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69384,89 +18770,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4549" name="Constant_301653" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1217" name="Constant_7114" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4550" name="Constant_301656" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1218" name="Constant_7117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4551" name="Constant_301659" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1219" name="Constant_7112" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4552" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1220" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="3313">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4553" name="Constant_11870" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3314">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4554" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3315">
+				<port id="5" precision="FP32" names="1404,k_rot.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69474,8 +18824,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4555" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1221" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69485,13 +18835,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.20.value">
+				<port id="2" precision="FP32" names="1422">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69499,41 +18849,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4556" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="1222" name="Constant_7487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3392">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4557" name="Constant_301663" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1223" name="Constant_7489" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4558" name="Constant_301662" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1224" name="Constant_7446" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4559" name="ShapeOf_339739" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1225" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69541,208 +18881,264 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4560" name="Constant_339740" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="1432,x2.39">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4561" name="Constant_339741" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1226" name="__module.model.gpt_neox.layers.9.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4562" name="Gather_339742" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1227" name="__module.model.gpt_neox.layers.9.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4563" name="Add_339743" type="Add" version="opset1">
+		<layer id="1228" name="__module.model.gpt_neox.layers.9.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" names="3387" />
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-		</layer>
-		<layer id="4564" name="ShapeOf_339810" type="ShapeOf" version="opset3">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
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 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1433">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4565" name="Constant_339811" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
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-				<attribute name="precise" version="0" />
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-			<output>
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-		<layer id="4566" name="Constant_339812" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1229" name="Constant_7354" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4567" name="Gather_339813" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-				<port id="2" precision="I64" />
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-			<output>
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 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="1230" name="Constant_7395" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="2" precision="I64" names="3389,3390" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="1231" name="Constant_7352" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<data special_zero="false" />
+		<layer id="1232" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
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 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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+				<port id="5" precision="FP32" names="1427,x1.39">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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 		</layer>
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+		</layer>
+		<layer id="1235" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add_1" type="Add" version="opset1">
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 		</layer>
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+		<layer id="1248" name="Constant_128208_compressed" type="Const" version="opset1">
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+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="1249" name="Constant_128208" type="Convert" version="opset1">
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 			<rt_info>
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 				<port id="0" precision="I64">
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 			</output>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+		<layer id="1251" name="Constant_128203" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
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 				</port>
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+			</output>
+		</layer>
+		<layer id="1252" name="Constant_128205" type="Const" version="opset1">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4576" name="ScatterUpdate_301666" type="ScatterUpdate" version="opset3">
+		<layer id="1253" name="Concat_128206" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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 				<port id="1" precision="I64">
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@@ -69750,103 +19146,112 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				</port>
 			</input>
 			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1254" name="Broadcast_128209" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1255" name="ReadValue_127519" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.31.valuepresent.31.value" variable_type="f32" variable_shape="?,32,?,80" />
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-				<port id="3" precision="I64">
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+					<dim>32</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.31.value">
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+					<dim>32</dim>
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+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="1256" name="Constant_127006" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1257" name="Gather_127007" type="Gather" version="opset8">
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+				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 			<output>
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 		</layer>
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-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="1259" name="Constant_7099" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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+		<layer id="1260" name="Constant_7094" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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-				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
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 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -69854,216 +19259,167 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-				<attribute name="precise" version="0" />
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-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1402,q_rot.19">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1262" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>4</dim>
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-				<port id="2" precision="I64">
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+					<dim>32</dim>
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+					<dim>-1</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 		</layer>
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 		</layer>
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+		<layer id="1265" name="Constant_7237" type="Const" version="opset1">
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 		</layer>
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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+		<layer id="1268" name="__module.model.gpt_neox.layers.9.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4594" name="Gather_339818" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1269" name="__module.model.gpt_neox.layers.9.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3380">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1417">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4595" name="Constant_268161" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1270" name="Constant_7145" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4596" name="Constant_268163" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1271" name="Constant_7186" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4597" name="Constant_268165" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1272" name="Constant_7143" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4598" name="__module.model.gpt_neox.layers.20.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1273" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -70074,52 +19430,95 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3397">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1411,x1.37">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4599" name="Maximum_316430" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1274" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1419">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4600" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1275" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1420">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="1276" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3399">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1421,1439,q_embed.19,query.37">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4601" name="__module.model.gpt_neox.layers.20.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1277" name="__module.model.gpt_neox.layers.9.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70146,9 +19545,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3400,3401,sdpa_result.41,tensor.81">
+				<port id="5" precision="FP32" names="1454,attn_output.55">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -70156,15 +19556,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4602" name="Constant_12311" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1278" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3402">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4603" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1279" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70172,12 +19572,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3403">
+				<port id="2" precision="FP32" names="1455">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -70185,19 +19585,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4604" name="__module.model.gpt_neox.layers.20.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4605" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1280" name="__module.model.gpt_neox.layers.9.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70210,23 +19599,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3408">
+				<port id="2" precision="FP32" names="1458">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4606" name="self.model.gpt_neox.layers.20.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="3449468290" size="13107200" />
+		<layer id="1281" name="self.model.gpt_neox.layers.9.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="1713735942" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.20.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.9.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4607" name="self.model.gpt_neox.layers.20.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="1282" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -70244,13 +19633,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4608" name="__module.model.gpt_neox.layers.20.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1283" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -70265,37 +19654,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4609" name="Constant_325396_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3462575490" size="5120" />
+		<layer id="1284" name="self.model.gpt_neox.layers.9.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1726843142" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.9.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4610" name="Constant_325396" type="Convert" version="opset1">
+		<layer id="1285" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4611" name="__module.model.gpt_neox.layers.20.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1286" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70304,20 +19687,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3411,3413,input.83">
+				<port id="2" precision="FP32" names="1462,1464,input.93">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4612" name="__module.model.gpt_neox.layers.20/aten::add/Add" type="Add" version="opset1">
+		<layer id="1287" name="__module.model.gpt_neox.layers.9/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70332,14 +19713,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3417,attn_output.83">
+				<port id="2" precision="FP32" names="1468,input.95">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4613" name="__module.model.gpt_neox.layers.20.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1288" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -70347,7 +19728,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4614" name="__module.model.gpt_neox.layers.20.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1289" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70367,8 +19748,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4615" name="Constant_325397_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3462580610" size="5120" />
+		<layer id="1290" name="Constant_117180_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1726848262" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -70377,7 +19758,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4616" name="Constant_325397" type="Convert" version="opset1">
+		<layer id="1291" name="Constant_117180" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -70397,7 +19778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4617" name="__module.model.gpt_neox.layers.20.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1292" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70419,8 +19800,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4618" name="Constant_325398_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3462585730" size="5120" />
+		<layer id="1293" name="Constant_117181_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1726853382" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -70429,7 +19810,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4619" name="Constant_325398" type="Convert" version="opset1">
+		<layer id="1294" name="Constant_117181" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -70449,7 +19830,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4620" name="__module.model.gpt_neox.layers.20.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1295" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70464,23 +19845,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3421">
+				<port id="2" precision="FP32" names="1472">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4621" name="self.model.gpt_neox.layers.20.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="3462590850" size="52428800" />
+		<layer id="1296" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
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@@ -70498,7 +19879,7 @@
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@@ -70519,37 +19900,31 @@
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-			<data element_type="f16" shape="1, 1, 10240" offset="3515019650" size="20480" />
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+			<data element_type="f16" shape="10240" offset="1779287302" size="20480" />
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-		<layer id="4625" name="Constant_325399" type="Convert" version="opset1">
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@@ -70558,20 +19933,18 @@
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-		<layer id="4627" name="__module.model.gpt_neox.layers.20.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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@@ -70581,23 +19954,23 @@
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-			<data element_type="f16" shape="2560, 10240" offset="3515040130" size="52428800" />
+		<layer id="1303" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
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@@ -70615,7 +19988,7 @@
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@@ -70636,37 +20009,31 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="3567468930" size="5120" />
+		<layer id="1306" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
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-		<layer id="4632" name="Constant_325400" type="Convert" version="opset1">
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+		<layer id="1308" name="__module.model.gpt_neox.layers.9.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -70675,20 +20042,18 @@
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@@ -70703,14 +20068,14 @@
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@@ -70718,7 +20083,7 @@
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-		<layer id="4636" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -70738,8 +20103,8 @@
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+		<layer id="1312" name="Constant_117182_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -70748,7 +20113,7 @@
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 			</output>
 		</layer>
-		<layer id="4638" name="Constant_325401" type="Convert" version="opset1">
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@@ -70768,7 +20133,7 @@
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-		<layer id="4639" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -70790,8 +20155,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="3567479170" size="5120" />
+		<layer id="1315" name="Constant_117183_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -70800,7 +20165,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4641" name="Constant_325402" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -70820,7 +20185,7 @@
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 		</layer>
-		<layer id="4642" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -70835,228 +20200,490 @@
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 			<output>
-				<port id="2" precision="FP32" names="3444">
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="7680, 2560" offset="3567484290" size="39321600" />
+		<layer id="1318" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="1831751942" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.attention.query_key_value.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.attention.query_key_value.weight">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1319" name="__module.model.gpt_neox.layers.10.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>2560</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
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+			</output>
+		</layer>
+		<layer id="1320" name="__module.model.gpt_neox.layers.10.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
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 					<dim>2560</dim>
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>7680</dim>
-					<dim>2560</dim>
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+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
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+		</layer>
+		<layer id="1321" name="self.model.gpt_neox.layers.10.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="1871073542" size="15360" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1322" name="__module.model.gpt_neox.layers.10.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<input>
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+					<dim>7680</dim>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
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+		</layer>
+		<layer id="1323" name="__module.model.gpt_neox.layers.10.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
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+		</layer>
+		<layer id="1324" name="Constant_125447" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
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+				<attribute name="precise" version="0" />
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+		<layer id="1325" name="__module.model.gpt_neox.layers.10.attention/aten::view/Reshape" type="Reshape" version="opset1">
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+		<layer id="1327" name="__module.model.gpt_neox.layers.10.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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+		<layer id="1328" name="__module.model.gpt_neox.layers.10.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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+		<layer id="1336" name="Constant_7945" type="Const" version="opset1">
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 		</layer>
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 		</layer>
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 		</layer>
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 				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
-			</rt_info>
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 				<port id="0" precision="I64">
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 			</input>
 			<output>
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 					<dim>32</dim>
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 					<dim>80</dim>
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 		</layer>
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+		<layer id="1346" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1531">
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+					<dim>32</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4656" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1347" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3458,query.127">
+				<port id="2" precision="FP32" names="1532,1550,q_embed.21,query.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71064,246 +20691,304 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4657" name="Constant_301766" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
+		<layer id="1348" name="Constant_128232_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
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+				<port id="0" precision="FP16" />
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+		</layer>
+		<layer id="1349" name="Constant_128232" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
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+		<layer id="1350" name="Constant_128225" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1351" name="Constant_128227" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="1352" name="Constant_128229" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="1353" name="Concat_128230" type="Concat" version="opset1">
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 			<input>
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-					<dim>80</dim>
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 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="1354" name="Broadcast_128233" type="Broadcast" version="opset3">
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1355" name="ReadValue_127425" type="ReadValue" version="opset6">
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 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-				<attribute name="decompression" version="0" />
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+		<layer id="1356" name="Constant_126877" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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+		</layer>
+		<layer id="1357" name="Gather_126878" type="Gather" version="opset8">
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-					<dim>2048</dim>
+				<port id="3" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
-		<layer id="4663" name="__module.model.gpt_neox.layers.21.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="1358" name="Constant_7822" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1359" name="Constant_7825" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1360" name="Constant_7820" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1361" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_4" type="Slice" version="opset8">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
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+					<dim>80</dim>
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1515,k_rot.21">
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 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="4668" name="ShapeOf_339820" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1362" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1533">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1363" name="Constant_8195" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1364" name="Constant_8197" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4671" name="Gather_339823" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="1365" name="Constant_8154" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1366" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_5" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3469">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1543,x2.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4672" name="Constant_433184_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
+		<layer id="1367" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16" />
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4673" name="Constant_433184" type="Convert" version="opset1">
+		<layer id="1368" name="__module.model.gpt_neox.layers.10.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
-				<port id="0" precision="FP16" />
+				<port id="0" precision="I32" />
 			</input>
 			<output>
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4674" name="Constant_433177" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="10" size="8" />
+		<layer id="1369" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1544">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4675" name="Constant_433179" type="Const" version="opset1">
+		<layer id="1370" name="Constant_8062" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -71311,20 +20996,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4676" name="Constant_433181" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="18" size="8" />
+		<layer id="1371" name="Constant_8103" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4677" name="Concat_433182" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
+		<layer id="1372" name="Constant_8060" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="1373" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_6" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
@@ -71334,42 +21029,62 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1538,x1.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4678" name="Broadcast_433185" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1374" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="1546">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4679" name="ReadValue_417338" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.21.keypresent.21.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1375" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.21.key">
+				<port id="2" precision="FP32" names="1547">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71377,14 +21092,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4680" name="Constant_402016" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4681" name="Gather_402017" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1376" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71392,13 +21101,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="1548,1552,k_embed.21,key_states.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71406,8 +21117,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4682" name="ShapeOf_339825" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1377" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71415,71 +21126,66 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="key.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4683" name="Constant_339826" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1378" name="Constant_128220_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4684" name="Constant_339827" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="1379" name="Constant_128220" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4685" name="Gather_339828" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="1380" name="Constant_128213" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
+			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" names="3471" />
 			</output>
-		</layer>
-		<layer id="4686" name="Constant_337794" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		</layer>
+		<layer id="1381" name="Constant_128215" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4687" name="Reshape_340947" type="Reshape" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1382" name="Constant_128217" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4688" name="__module.model.gpt_neox.layers.21.attention/aten::add_/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1383" name="Concat_128218" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
@@ -71487,95 +21193,111 @@
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
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 		</layer>
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 		</layer>
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+		<layer id="1385" name="ReadValue_127427" type="ReadValue" version="opset6">
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 					<dim>80</dim>
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 		</layer>
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+		<layer id="1386" name="Constant_126880" type="Const" version="opset1">
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 		</layer>
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>80</dim>
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 				<port id="1" precision="I32">
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 				</port>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="1388" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_5" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="value.41">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4694" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1389" name="__module.model.gpt_neox.layers.10.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71585,13 +21307,26 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3489">
+				<port id="5" precision="FP32" names="1565,attn_output.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71599,203 +21334,209 @@
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 			</output>
 		</layer>
-		<layer id="4695" name="Constant_301789" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1390" name="__module.model.gpt_neox.layers.10.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4696" name="Constant_301788" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1391" name="__module.model.gpt_neox.layers.10.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1566">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="1392" name="__module.model.gpt_neox.layers.10.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1569">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1393" name="self.model.gpt_neox.layers.10.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="1871088902" size="13107200" />
 			<output>
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.attention.dense.weight">
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+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="1394" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-				<port id="2" precision="I32" />
 			</input>
 			<output>
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+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="1395" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 			<input>
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 			<output>
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+					<dim>-1</dim>
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 			</output>
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-				<port id="0" precision="I64" />
-			</input>
+		<layer id="1396" name="self.model.gpt_neox.layers.10.attention.dense.bias" type="Const" version="opset1">
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 		</layer>
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+		<layer id="1397" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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 			<rt_info>
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-			<output>
-				<port id="0" precision="I32">
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+				<port id="1" precision="FP32">
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 				</port>
 			</output>
 		</layer>
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 				</port>
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-					<dim>1</dim>
+				<port id="1" precision="FP32">
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 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
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+					<dim>-1</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1399" name="__module.model.gpt_neox.layers.10/aten::add/Add" type="Add" version="opset1">
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 			<output>
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-					<dim>4</dim>
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 		</layer>
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+		<layer id="1400" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="1401" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>2560</dim>
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-					<dim>4</dim>
+				<port id="1" precision="I32">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="1402" name="Constant_117184_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
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 		</layer>
-		<layer id="4710" name="Constant_325404" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
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@@ -71804,658 +21545,540 @@
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 					<dim>1</dim>
 					<dim>1</dim>
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 			<output>
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 					<dim>1</dim>
 					<dim>1</dim>
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 		</layer>
-		<layer id="4711" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="1404" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>1</dim>
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+		<layer id="1436" name="Constant_125448" type="Const" version="opset1">
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@@ -72465,77 +22088,83 @@
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+		<layer id="1437" name="__module.model.gpt_neox.layers.11.attention/aten::view/Reshape" type="Reshape" version="opset1">
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+		<layer id="1438" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Constant" type="Const" version="opset1">
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+			</output>
+		</layer>
+		<layer id="1439" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72543,8 +22172,31 @@
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 		</layer>
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+		<layer id="1441" name="Constant_8512" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="1442" name="Constant_8515" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1443" name="Constant_8510" type="Const" version="opset1">
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+		</layer>
+		<layer id="1444" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice" type="Slice" version="opset8">
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@@ -72552,15 +22204,21 @@
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 					<dim>80</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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 			<output>
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 					<dim>32</dim>
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@@ -72568,8 +22226,8 @@
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 		</layer>
-		<layer id="4756" name="__module.model.gpt_neox.layers.21.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1445" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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@@ -72579,13 +22237,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72593,53 +22251,37 @@
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-		<layer id="4759" name="Constant_433190" type="Const" version="opset1">
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+		<layer id="1446" name="Constant_8694" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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-		<layer id="4760" name="Constant_433192" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+		<layer id="1447" name="Constant_8696" type="Const" version="opset1">
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 		</layer>
-		<layer id="4761" name="Constant_433194" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="18" size="8" />
+		<layer id="1448" name="Constant_8653" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="4762" name="Concat_433195" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1449" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -72650,161 +22292,151 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
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+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1638,x2.45">
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 					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-					<dim>32</dim>
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-					<dim>80</dim>
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-			</input>
+		<layer id="1450" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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+				<port id="0" precision="I32" />
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 		</layer>
-		<layer id="4765" name="Constant_402019" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="1451" name="__module.model.gpt_neox.layers.11.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
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 			<output>
-				<port id="0" precision="I64" />
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 			</output>
 		</layer>
-		<layer id="4766" name="Gather_402020" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1452" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+				<port id="1" precision="FP32" />
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 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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 		</layer>
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+		<layer id="1453" name="Constant_8561" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="1454" name="Constant_8602" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+		<layer id="1455" name="Constant_8559" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1456" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_2" type="Slice" version="opset8">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1633,x1.45">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1457" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1641">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4772" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1458" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3464">
+				<port id="2" precision="FP32" names="1642">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72812,8 +22444,8 @@
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 			</output>
 		</layer>
-		<layer id="4773" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1459" name="__module.model.gpt_neox.layers.11.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72829,7 +22461,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.21.value">
+				<port id="2" precision="FP32" names="1643,1661,q_embed.23,query.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72837,193 +22469,166 @@
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 			</output>
 		</layer>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="1460" name="Constant_128256_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="1461" name="Constant_128256" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
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+		</layer>
+		<layer id="1462" name="Constant_128249" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3541">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="1463" name="Constant_128251" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1464" name="Constant_128253" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-			<data output_type="i64" />
+		<layer id="1465" name="Concat_128254" type="Concat" version="opset1">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
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-		</layer>
-		<layer id="4780" name="Gather_339833" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1466" name="Broadcast_128257" type="Broadcast" version="opset3">
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-				<port id="1" precision="I64" />
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 			<output>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="1467" name="ReadValue_127429" type="ReadValue" version="opset6">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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 			<output>
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 			<input>
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<rt_info>
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+		<layer id="1470" name="Constant_8530" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			</input>
+		<layer id="1471" name="Constant_8533" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1472" name="Constant_8528" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4790" name="ScatterUpdate_302015" type="ScatterUpdate" version="opset3">
+		<layer id="1473" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -73031,56 +22636,78 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
+				<port id="5" precision="FP32" names="1626,k_rot.23">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1474" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1644">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1475" name="Constant_8903" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+		<layer id="1476" name="Constant_8905" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1477" name="Constant_8862" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4794" name="ScatterUpdate_302017" type="ScatterUpdate" version="opset3">
+		<layer id="1478" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -73088,103 +22715,88 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
+				<port id="5" precision="FP32" names="1654,x2.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1479" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Constant_1" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1480" name="__module.model.gpt_neox.layers.11.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
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-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
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+				<port id="0" precision="I32" />
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 			<output>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>2048</dim>
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+				<port id="1" precision="FP32" />
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1481" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1655">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1482" name="Constant_8770" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1483" name="Constant_8811" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1484" name="Constant_8768" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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-				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
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 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -73192,212 +22804,165 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="4802" name="Constant_302098" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1649,x1.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1486" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1657">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-		</layer>
-		<layer id="4807" name="__module.model.gpt_neox.layers.21.attention/aten::where/Select" type="Select" version="opset1">
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 			<input>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
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 					<dim>-1</dim>
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 		</layer>
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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 			</input>
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-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1490" name="Constant_128244_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4811" name="Constant_339908" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="1491" name="Constant_128244" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4812" name="Gather_339909" type="Gather" version="opset8">
-			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3529">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4813" name="Constant_268171" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1492" name="Constant_128237" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4814" name="Constant_268173" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1493" name="Constant_128239" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4815" name="Constant_268175" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1494" name="Constant_128241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4816" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1495" name="Concat_128242" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -73414,50 +22979,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3546">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4817" name="Maximum_316502" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1496" name="Broadcast_128245" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4818" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1497" name="ReadValue_127431" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.11.valuepresent.11.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.11.value">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="1498" name="Constant_126886" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1499" name="Gather_126887" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3548">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1500" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="value.45">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4819" name="__module.model.gpt_neox.layers.21.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1501" name="__module.model.gpt_neox.layers.11.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73484,9 +23101,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3549,3550,sdpa_result.43,tensor.85">
+				<port id="5" precision="FP32" names="1676,attn_output.67">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -73494,15 +23112,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4820" name="Constant_12892" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1502" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3551">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4821" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1503" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -73510,32 +23128,21 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="3552">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4822" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="1677">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4823" name="__module.model.gpt_neox.layers.21.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1504" name="__module.model.gpt_neox.layers.11.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -73548,23 +23155,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3557">
+				<port id="2" precision="FP32" names="1680">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4824" name="self.model.gpt_neox.layers.21.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="3606821250" size="13107200" />
+		<layer id="1505" name="self.model.gpt_neox.layers.11.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="2028441862" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.11.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4825" name="self.model.gpt_neox.layers.21.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="1506" name="__module.model.gpt_neox.layers.11.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -73582,13 +23189,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4826" name="__module.model.gpt_neox.layers.21.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1507" name="__module.model.gpt_neox.layers.11.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -73603,37 +23210,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4827" name="Constant_325406_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3619928450" size="5120" />
+		<layer id="1508" name="self.model.gpt_neox.layers.11.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2041549062" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.11.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4828" name="Constant_325406" type="Convert" version="opset1">
+		<layer id="1509" name="__module.model.gpt_neox.layers.11.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4829" name="__module.model.gpt_neox.layers.21.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1510" name="__module.model.gpt_neox.layers.11.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73642,20 +23243,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3560,3562,input.87">
+				<port id="2" precision="FP32" names="1684,1686,input.113">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4830" name="__module.model.gpt_neox.layers.21/aten::add/Add" type="Add" version="opset1">
+		<layer id="1511" name="__module.model.gpt_neox.layers.11/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73670,14 +23269,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3566,attn_output.87">
+				<port id="2" precision="FP32" names="1690,input.115">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4831" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1512" name="__module.model.gpt_neox.layers.11.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -73685,7 +23284,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4832" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1513" name="__module.model.gpt_neox.layers.11.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73705,8 +23304,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4833" name="Constant_325407_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3619933570" size="5120" />
+		<layer id="1514" name="Constant_117188_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2041554182" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -73715,7 +23314,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4834" name="Constant_325407" type="Convert" version="opset1">
+		<layer id="1515" name="Constant_117188" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -73735,7 +23334,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4835" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1516" name="__module.model.gpt_neox.layers.11.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73757,8 +23356,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4836" name="Constant_325408_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3619938690" size="5120" />
+		<layer id="1517" name="Constant_117189_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2041559302" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -73767,7 +23366,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4837" name="Constant_325408" type="Convert" version="opset1">
+		<layer id="1518" name="Constant_117189" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -73787,7 +23386,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4838" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1519" name="__module.model.gpt_neox.layers.11.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73802,23 +23401,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3570">
+				<port id="2" precision="FP32" names="1694">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4839" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="3619943810" size="52428800" />
+		<layer id="1520" name="self.model.gpt_neox.layers.11.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="2041564422" size="52428800" />
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-		<layer id="4840" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="1521" name="__module.model.gpt_neox.layers.11.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
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@@ -73836,7 +23435,7 @@
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-		<layer id="4841" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -73857,37 +23456,31 @@
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-		<layer id="4842" name="Constant_325409_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="3672372610" size="20480" />
+		<layer id="1523" name="self.model.gpt_neox.layers.11.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2093993222" size="20480" />
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-		<layer id="4843" name="Constant_325409" type="Convert" version="opset1">
+		<layer id="1524" name="__module.model.gpt_neox.layers.11.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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-		<layer id="4844" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1525" name="__module.model.gpt_neox.layers.11.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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@@ -73896,20 +23489,18 @@
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-		<layer id="4845" name="__module.model.gpt_neox.layers.21.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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@@ -73919,23 +23510,23 @@
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 					<dim>-1</dim>
 					<dim>10240</dim>
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-		<layer id="4846" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="3672393090" size="52428800" />
+		<layer id="1527" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="2094013702" size="52428800" />
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 		</layer>
-		<layer id="4847" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="1528" name="__module.model.gpt_neox.layers.11.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -73953,7 +23544,7 @@
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-		<layer id="4848" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
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@@ -73974,37 +23565,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4849" name="Constant_325410_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3724821890" size="5120" />
+		<layer id="1530" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2146442502" size="5120" />
 			<output>
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-					<dim>1</dim>
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 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4850" name="Constant_325410" type="Convert" version="opset1">
+		<layer id="1531" name="__module.model.gpt_neox.layers.11.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
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 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4851" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1532" name="__module.model.gpt_neox.layers.11.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74013,20 +23598,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
-		<layer id="4852" name="__module.model.gpt_neox.layers.21/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1533" name="__module.model.gpt_neox.layers.11/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74041,14 +23624,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3581,3583,hidden_states.45">
+				<port id="2" precision="FP32" names="1705,1707,input.121">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="4853" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1534" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -74056,7 +23639,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4854" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1535" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74076,8 +23659,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4855" name="Constant_325411_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3724827010" size="5120" />
+		<layer id="1536" name="Constant_117190_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2146447622" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -74086,7 +23669,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4856" name="Constant_325411" type="Convert" version="opset1">
+		<layer id="1537" name="Constant_117190" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -74106,7 +23689,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4857" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1538" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74128,8 +23711,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4858" name="Constant_325412_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3724832130" size="5120" />
+		<layer id="1539" name="Constant_117191_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2146452742" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -74138,7 +23721,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4859" name="Constant_325412" type="Convert" version="opset1">
+		<layer id="1540" name="Constant_117191" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -74158,7 +23741,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4860" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1541" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74173,23 +23756,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3593">
+				<port id="2" precision="FP32" names="1717,hidden_states.25">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="4861" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 2560" offset="3724837250" size="39321600" />
+		<layer id="1542" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="2146457862" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.attention.query_key_value.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.attention.query_key_value.weight">
 					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4862" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="1543" name="__module.model.gpt_neox.layers.12.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -74207,7 +23790,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4863" name="__module.model.gpt_neox.layers.22.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1544" name="__module.model.gpt_neox.layers.12.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74228,37 +23811,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4864" name="Constant_325413_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="3764158850" size="15360" />
+		<layer id="1545" name="self.model.gpt_neox.layers.12.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="2185779462" size="15360" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.attention.query_key_value.bias">
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4865" name="Constant_325413" type="Convert" version="opset1">
+		<layer id="1546" name="__module.model.gpt_neox.layers.12.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>7680</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>7680</dim>
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 		</layer>
-		<layer id="4866" name="__module.model.gpt_neox.layers.22.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1547" name="__module.model.gpt_neox.layers.12.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74267,20 +23844,18 @@
 					<dim>7680</dim>
 				</port>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3600,qkv.89">
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 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="4867" name="__module.model.gpt_neox.layers.22.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="1548" name="Constant_125449" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -74291,7 +23866,7 @@
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 			</output>
 		</layer>
-		<layer id="4868" name="__module.model.gpt_neox.layers.22.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1549" name="__module.model.gpt_neox.layers.12.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74304,7 +23879,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3604,qkv.91">
+				<port id="2" precision="FP32" names="1726">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -74312,89 +23887,567 @@
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 		</layer>
-		<layer id="4869" name="Constant_302105" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1550" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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-		<layer id="4870" name="Constant_302108" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1551" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1727,qkv.25">
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 		</layer>
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+		<layer id="1579" name="ReadValue_127433" type="ReadValue" version="opset6">
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 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 					<dim>80</dim>
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 		</layer>
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-		<layer id="4874" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1586" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -74402,41 +24455,31 @@
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 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1588" name="Constant_9613" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4877" name="Constant_302123" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1589" name="Constant_9570" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4878" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1590" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -74445,183 +24488,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3614,q.45">
+				<port id="5" precision="FP32" names="1765,x2.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4879" name="self.model.gpt_neox.layers.22.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="1591" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4880" name="self.model.gpt_neox.layers.22.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="1592" name="__module.model.gpt_neox.layers.12.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4881" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1593" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1766">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4882" name="Constant_302129" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1594" name="Constant_9478" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4883" name="Constant_302132" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1595" name="Constant_9519" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4884" name="Constant_302135" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1596" name="Constant_9476" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4885" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1597" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3608">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1760,x1.51">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4886" name="ShapeOf_339911" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1598" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1768">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4887" name="Constant_341036" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="1599" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1769">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4888" name="Constant_339913" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1600" name="__module.model.gpt_neox.layers.12.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1770,1774,k_embed.25,key_states.27">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4889" name="Gather_339914" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1601" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3618">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4890" name="Constant_433210_compressed" type="Const" version="opset1">
+		<layer id="1602" name="Constant_128268_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4891" name="Constant_433210" type="Convert" version="opset1">
+		<layer id="1603" name="Constant_128268" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -74633,7 +24716,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4892" name="Constant_433203" type="Const" version="opset1">
+		<layer id="1604" name="Constant_128261" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -74641,7 +24724,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4893" name="Constant_433205" type="Const" version="opset1">
+		<layer id="1605" name="Constant_128263" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -74649,7 +24732,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4894" name="Constant_433207" type="Const" version="opset1">
+		<layer id="1606" name="Constant_128265" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -74657,7 +24740,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4895" name="Concat_433208" type="Concat" version="opset1">
+		<layer id="1607" name="Concat_128266" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -74679,7 +24762,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4896" name="Broadcast_433211" type="Broadcast" version="opset3">
+		<layer id="1608" name="Broadcast_128269" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -74696,8 +24779,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4897" name="ReadValue_417342" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.22.keypresent.22.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1609" name="ReadValue_127435" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.12.valuepresent.12.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -74707,7 +24790,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.22.key">
+				<port id="1" precision="FP32" names="past_key_values.12.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -74715,13 +24798,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4898" name="Constant_402022" type="Const" version="opset1">
+		<layer id="1610" name="Constant_126892" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4899" name="Gather_402023" type="Gather" version="opset8">
+		<layer id="1611" name="Gather_126893" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -74744,8 +24827,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4900" name="ShapeOf_339916" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1612" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -74753,707 +24836,805 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="value.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4901" name="Constant_339917" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1613" name="__module.model.gpt_neox.layers.12.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="FP32" />
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="1787,attn_output.73">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4902" name="Constant_339918" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1614" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4903" name="Gather_339919" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1615" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4945" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1659" name="__module.model.gpt_neox.layers.13.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3610,key.133">
+				<port id="2" precision="FP32" names="1835">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4946" name="Constant_302243" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
+		<layer id="1660" name="Constant_125450" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -75463,74 +25644,83 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4947" name="Constant_302246" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="1661" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1837">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4948" name="Constant_302249" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1662" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4949" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1663" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3616,k.45">
+				<port id="2" precision="FP32" names="1838,qkv.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4950" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1664" name="__module.model.gpt_neox.layers.13.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1840,q.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="4" precision="FP32" names="1841,k.27">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="3654">
+				<port id="5" precision="FP32" names="1842,value_states.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75538,30 +25728,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4951" name="Constant_302253" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1665" name="Constant_9928" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4952" name="Constant_302252" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1666" name="Constant_9931" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4953" name="__module.model.gpt_neox.layers.22.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1667" name="Constant_9926" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1668" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75569,134 +25760,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4954" name="__module.model.gpt_neox.layers.22.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4955" name="__module.model.gpt_neox.layers.22.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3655,3660" />
-			</output>
-		</layer>
-		<layer id="4956" name="__module.model.gpt_neox.layers.22.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4957" name="__module.model.gpt_neox.layers.22.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3657,3658,3662,3663" />
-			</output>
-		</layer>
-		<layer id="4958" name="Constant_337808" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4959" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4960" name="Constant_302251" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1846,q_rot.27">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4961" name="ScatterUpdate_302254" type="ScatterUpdate" version="opset3">
+		<layer id="1669" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1850">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1670" name="Constant_10110" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4962" name="Constant_302257" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1671" name="Constant_10112" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4963" name="Constant_302260" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1672" name="Constant_10069" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4964" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1673" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75705,17 +25840,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3664,x2.91">
+				<port id="5" precision="FP32" names="1860,x2.53">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75723,40 +25861,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4965" name="Constant_325415_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1674" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4966" name="Constant_325415" type="Convert" version="opset1">
+		<layer id="1675" name="__module.model.gpt_neox.layers.13.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4967" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1676" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75765,15 +25885,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3665">
+				<port id="2" precision="FP32" names="1861">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75781,30 +25896,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4968" name="Constant_302305" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1677" name="Constant_9977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4969" name="Constant_302310" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1678" name="Constant_10018" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4970" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1679" name="Constant_9975" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1680" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75813,17 +25929,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3659">
+				<port id="5" precision="FP32" names="1855,x1.53">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75831,7 +25950,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4971" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1681" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75848,7 +25967,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3667">
+				<port id="2" precision="FP32" names="1863">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75856,7 +25975,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4972" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1682" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75873,7 +25992,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3668">
+				<port id="2" precision="FP32" names="1864">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75881,7 +26000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4973" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1683" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75898,32 +26017,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3669,3673">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4974" name="__module.model.gpt_neox.layers.22.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.22.key">
+				<port id="2" precision="FP32" names="1865,1883,q_embed.27,query.53">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75931,13 +26025,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4975" name="Constant_433223_compressed" type="Const" version="opset1">
+		<layer id="1684" name="Constant_128304_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4976" name="Constant_433223" type="Convert" version="opset1">
+		<layer id="1685" name="Constant_128304" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -75949,7 +26043,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4977" name="Constant_433216" type="Const" version="opset1">
+		<layer id="1686" name="Constant_128297" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -75957,7 +26051,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4978" name="Constant_433218" type="Const" version="opset1">
+		<layer id="1687" name="Constant_128299" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -75965,7 +26059,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4979" name="Constant_433220" type="Const" version="opset1">
+		<layer id="1688" name="Constant_128301" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -75973,7 +26067,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4980" name="Concat_433221" type="Concat" version="opset1">
+		<layer id="1689" name="Concat_128302" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -75995,7 +26089,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4981" name="Broadcast_433224" type="Broadcast" version="opset3">
+		<layer id="1690" name="Broadcast_128305" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -76012,8 +26106,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4982" name="ReadValue_417344" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.22.valuepresent.22.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1691" name="ReadValue_127437" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.13.keypresent.13.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76023,7 +26117,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.22.value">
+				<port id="1" precision="FP32" names="past_key_values.13.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -76031,13 +26125,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4983" name="Constant_402025" type="Const" version="opset1">
+		<layer id="1692" name="Constant_126895" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4984" name="Gather_402026" type="Gather" version="opset8">
+		<layer id="1693" name="Gather_126896" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -76060,89 +26154,78 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4985" name="Constant_302355" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1694" name="Constant_9946" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4986" name="Constant_302358" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1695" name="Constant_9949" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4987" name="Constant_302361" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1696" name="Constant_9944" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4988" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1697" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3611">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1848,k_rot.27">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4989" name="Constant_13032" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3612">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4990" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1698" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3613">
+				<port id="2" precision="FP32" names="1866">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -76150,8 +26233,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4991" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1699" name="Constant_10319" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1700" name="Constant_10321" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1701" name="Constant_10278" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1702" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76159,57 +26265,88 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1876,x2.55">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="1703" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="1704" name="__module.model.gpt_neox.layers.13.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.22.value">
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1705" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1877">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4992" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="1706" name="Constant_10186" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3690">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4993" name="Constant_302365" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1707" name="Constant_10227" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4994" name="Constant_302364" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1708" name="Constant_10184" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4995" name="ShapeOf_339921" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1709" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76217,56 +26354,105 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4996" name="Constant_339922" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="1871,x1.55">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4997" name="Constant_339923" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1710" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1879">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4998" name="Gather_339924" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1711" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
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+				<port id="2" precision="FP32" names="1880">
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+					<dim>80</dim>
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 		</layer>
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+		<layer id="1712" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add_1" type="Add" version="opset1">
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-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+					<dim>80</dim>
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+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="2" precision="FP32" names="1881,1885,k_embed.27,key_states.29">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="5000" name="ShapeOf_339992" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1713" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
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@@ -76274,94 +26460,69 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="key.53">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1714" name="Constant_128292_compressed" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="5002" name="Constant_339994" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="1715" name="Constant_128292" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
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 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP16" />
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 			<output>
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+				<port id="1" precision="FP32" />
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1716" name="Constant_128285" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1717" name="Constant_128287" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5007" name="Constant_302363" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1718" name="Constant_128289" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5008" name="ScatterUpdate_302366" type="ScatterUpdate" version="opset3">
+		<layer id="1719" name="Concat_128290" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -76369,540 +26530,559 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1720" name="Broadcast_128293" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5010" name="Constant_337812" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1721" name="ReadValue_127439" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.13.valuepresent.13.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.13.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
-			<input>
+		<layer id="1722" name="Constant_126898" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
 				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="1723" name="Gather_126899" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
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+				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5012" name="ScatterUpdate_302368" type="ScatterUpdate" version="opset3">
+		<layer id="1724" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
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-					<dim>1</dim>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="value.53">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+			</output>
+		</layer>
+		<layer id="1725" name="__module.model.gpt_neox.layers.13.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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+				<port id="0" precision="FP32">
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 					<dim>1</dim>
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+				<port id="4" precision="FP32" />
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 			<output>
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+				<port id="5" precision="FP32" names="1898,attn_output.79">
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+					<dim>-1</dim>
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 		</layer>
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 			<output>
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 				</port>
 			</output>
 		</layer>
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+		<layer id="1727" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
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+				<port id="1" precision="I32">
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 			</input>
 			<output>
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+		<layer id="1751" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
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@@ -76910,27 +27090,27 @@
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@@ -76941,37 +27121,31 @@
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+		<layer id="1754" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
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-		<layer id="5046" name="Constant_325416" type="Convert" version="opset1">
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@@ -76980,20 +27154,18 @@
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+		<layer id="1757" name="__module.model.gpt_neox.layers.13/aten::add/Add_1" type="Add" version="opset1">
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@@ -77008,14 +27180,14 @@
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@@ -77023,7 +27195,7 @@
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@@ -77043,8 +27215,8 @@
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+		<layer id="1760" name="Constant_117198_compressed" type="Const" version="opset1">
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@@ -77053,7 +27225,7 @@
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-		<layer id="5052" name="Constant_325417" type="Convert" version="opset1">
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@@ -77073,7 +27245,7 @@
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-		<layer id="5053" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1762" name="__module.model.gpt_neox.layers.14.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -77095,8 +27267,8 @@
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+		<layer id="1763" name="Constant_117199_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -77105,7 +27277,7 @@
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 		</layer>
-		<layer id="5055" name="Constant_325418" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -77125,7 +27297,7 @@
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-		<layer id="5056" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -77140,41 +27312,41 @@
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-			<data element_type="f16" shape="10240, 2560" offset="3777296770" size="52428800" />
+		<layer id="1766" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="2461163782" size="39321600" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.14.attention.query_key_value.weight">
+					<dim>7680</dim>
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 		</layer>
-		<layer id="5058" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="1767" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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 			<output>
 				<port id="1" precision="FP32">
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 		</layer>
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 			<data transpose_a="false" transpose_b="true" />
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@@ -77183,7 +27355,7 @@
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 				<port id="1" precision="FP32">
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@@ -77191,548 +27363,647 @@
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-			<data element_type="f16" shape="1, 1, 10240" offset="3829725570" size="20480" />
+		<layer id="1769" name="self.model.gpt_neox.layers.14.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="2500485382" size="15360" />
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-					<dim>10240</dim>
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+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5061" name="Constant_325419" type="Convert" version="opset1">
+		<layer id="1770" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="1771" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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-			<data approximation_mode="ERF" />
+		<layer id="1772" name="Constant_125451" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1773" name="__module.model.gpt_neox.layers.14.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>7680</dim>
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 			<output>
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-					<dim>10240</dim>
+				<port id="0" precision="I32">
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-				<attribute name="decompression" version="0" />
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+					<dim>240</dim>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>3</dim>
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+		<layer id="1779" name="Constant_10634" type="Const" version="opset1">
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 		</layer>
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 				<port id="0" precision="I64">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>80</dim>
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1959,k_rot.29">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5091" name="Constant_13585" type="Const" version="opset1">
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-		</layer>
-		<layer id="5092" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1810" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1977">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -77740,41 +28011,31 @@
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 			</output>
 		</layer>
-		<layer id="5093" name="Constant_302468" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1811" name="Constant_11027" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1812" name="Constant_11029" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1813" name="Constant_10986" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1814" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -77783,183 +28044,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1987,x2.59">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5097" name="self.model.gpt_neox.layers.23.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="1815" name="__module.model.gpt_neox.layers.14.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5098" name="self.model.gpt_neox.layers.23.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="1816" name="__module.model.gpt_neox.layers.14.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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-			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1817" name="__module.model.gpt_neox.layers.14.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="2" precision="FP32" names="1988">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5099" name="__module.model.gpt_neox.layers.23.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="1818" name="Constant_10894" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1819" name="Constant_10935" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1820" name="Constant_10892" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1821" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_6" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1982,x1.59">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1822" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1990">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="1823" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3757">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="1991">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5104" name="ShapeOf_340002" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1824" name="__module.model.gpt_neox.layers.14.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1992,1996,k_embed.29,key_states.31">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5107" name="Gather_340005" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1825" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="3767">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.57">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5108" name="Constant_433236_compressed" type="Const" version="opset1">
+		<layer id="1826" name="Constant_128316_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5109" name="Constant_433236" type="Convert" version="opset1">
+		<layer id="1827" name="Constant_128316" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -77971,7 +28272,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5110" name="Constant_433229" type="Const" version="opset1">
+		<layer id="1828" name="Constant_128309" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -77979,7 +28280,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5111" name="Constant_433231" type="Const" version="opset1">
+		<layer id="1829" name="Constant_128311" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -77987,7 +28288,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5112" name="Constant_433233" type="Const" version="opset1">
+		<layer id="1830" name="Constant_128313" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -77995,7 +28296,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5113" name="Concat_433234" type="Concat" version="opset1">
+		<layer id="1831" name="Concat_128314" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -78017,7 +28318,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5114" name="Broadcast_433237" type="Broadcast" version="opset3">
+		<layer id="1832" name="Broadcast_128317" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -78034,8 +28335,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5115" name="ReadValue_417346" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.23.keypresent.23.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1833" name="ReadValue_127443" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.14.valuepresent.14.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78045,7 +28346,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.23.key">
+				<port id="1" precision="FP32" names="past_key_values.14.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78053,13 +28354,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5116" name="Constant_402028" type="Const" version="opset1">
+		<layer id="1834" name="Constant_126904" type="Const" version="opset1">
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 			<output>
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 		</layer>
-		<layer id="5117" name="Gather_402029" type="Gather" version="opset8">
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@@ -78082,8 +28383,8 @@
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 			</output>
 		</layer>
-		<layer id="5118" name="ShapeOf_340007" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1836" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78091,387 +28392,670 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
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+				<port id="2" precision="FP32" names="value.57">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1837" name="__module.model.gpt_neox.layers.14.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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+				<port id="5" precision="FP32" names="2009,attn_output.85">
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 			</output>
 		</layer>
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+		<layer id="1875" name="Constant_117203_compressed" type="Const" version="opset1">
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 		</layer>
-		<layer id="5146" name="Constant_325424" type="Convert" version="opset1">
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@@ -78480,309 +29064,219 @@
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 		</layer>
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 					<dim>32</dim>
 					<dim>-1</dim>
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+		<layer id="1888" name="__module.model.gpt_neox.layers.15.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 					<dim>32</dim>
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-				<port id="0" precision="FP32">
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+				<port id="4" precision="FP32" names="2063,k.31">
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 					<dim>32</dim>
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 					<dim>32</dim>
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@@ -78790,41 +29284,31 @@
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 				<port id="0" precision="I64">
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 		</layer>
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 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1891" name="Constant_11342" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1892" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78833,17 +29317,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78851,7 +29338,7 @@
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 		</layer>
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+		<layer id="1893" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78868,7 +29355,7 @@
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78876,165 +29363,31 @@
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="1894" name="Constant_11526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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 				<port id="0" precision="I64">
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 				<port id="0" precision="I64">
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+		<layer id="1897" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79043,17 +29396,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			<output>
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+				<port id="5" precision="FP32" names="2082,x2.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79061,40 +29417,22 @@
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 			</output>
 		</layer>
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 		</layer>
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 		</layer>
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@@ -79103,15 +29441,10 @@
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 					<dim>32</dim>
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@@ -79119,30 +29452,31 @@
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+		<layer id="1902" name="Constant_11434" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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 			<input>
 				<port id="0" precision="FP32">
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@@ -79151,17 +29485,20 @@
 					<dim>80</dim>
 				</port>
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 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79169,7 +29506,7 @@
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 			</output>
 		</layer>
-		<layer id="5189" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79186,7 +29523,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3816">
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79194,7 +29531,7 @@
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 			</output>
 		</layer>
-		<layer id="5190" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1906" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79211,7 +29548,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3817">
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79219,7 +29556,7 @@
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 			</output>
 		</layer>
-		<layer id="5191" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1907" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79236,32 +29573,7 @@
 				</port>
 			</input>
 			<output>
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-			<output>
-				<port id="2" precision="FP32" names="present.23.key">
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79269,13 +29581,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5193" name="Constant_433249_compressed" type="Const" version="opset1">
+		<layer id="1908" name="Constant_128352_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5194" name="Constant_433249" type="Convert" version="opset1">
+		<layer id="1909" name="Constant_128352" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -79287,7 +29599,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5195" name="Constant_433242" type="Const" version="opset1">
+		<layer id="1910" name="Constant_128345" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -79295,7 +29607,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5196" name="Constant_433244" type="Const" version="opset1">
+		<layer id="1911" name="Constant_128347" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -79303,7 +29615,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5197" name="Constant_433246" type="Const" version="opset1">
+		<layer id="1912" name="Constant_128349" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -79311,7 +29623,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5198" name="Concat_433247" type="Concat" version="opset1">
+		<layer id="1913" name="Concat_128350" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -79333,7 +29645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5199" name="Broadcast_433250" type="Broadcast" version="opset3">
+		<layer id="1914" name="Broadcast_128353" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -79350,8 +29662,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5200" name="ReadValue_417348" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.23.valuepresent.23.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1915" name="ReadValue_127445" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.15.keypresent.15.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79361,7 +29673,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.23.value">
+				<port id="1" precision="FP32" names="past_key_values.15.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79369,13 +29681,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5201" name="Constant_402031" type="Const" version="opset1">
+		<layer id="1916" name="Constant_126907" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5202" name="Gather_402032" type="Gather" version="opset8">
+		<layer id="1917" name="Gather_126908" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79398,89 +29710,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5203" name="Constant_302706" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1918" name="Constant_11362" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5204" name="Constant_302709" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1919" name="Constant_11365" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5205" name="Constant_302712" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1920" name="Constant_11360" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5206" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1921" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="3760">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="5207" name="Constant_13613" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3761">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5208" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3762">
+				<port id="5" precision="FP32" names="2070,k_rot.31">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79488,8 +29764,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5209" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1922" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79499,13 +29775,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.23.value">
+				<port id="2" precision="FP32" names="2088">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79513,98 +29789,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5210" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-					<dim>1</dim>
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-					<dim>2048</dim>
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-		</layer>
-		<layer id="5211" name="Constant_302716" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1923" name="Constant_11735" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5212" name="Constant_302715" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1924" name="Constant_11737" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-					<dim>-1</dim>
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-		<layer id="5214" name="Constant_340013" type="Const" version="opset1">
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-		<layer id="5215" name="Constant_340014" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1925" name="Constant_11694" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5216" name="Gather_340015" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-			<output>
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-		<layer id="5217" name="Add_340016" type="Add" version="opset1">
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@@ -79868,212 +29916,165 @@
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+		<layer id="1940" name="Constant_128333" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5250" name="Constant_268193" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1941" name="Constant_128335" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5251" name="Constant_268195" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1942" name="Constant_128337" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5252" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1943" name="Concat_128338" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -80090,50 +30091,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3844">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5253" name="Maximum_316646" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1944" name="Broadcast_128341" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1945" name="ReadValue_127447" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.15.valuepresent.15.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.15.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1946" name="Constant_126910" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1947" name="Gather_126911" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5254" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1948" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3846">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.61">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5255" name="__module.model.gpt_neox.layers.23.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1949" name="__module.model.gpt_neox.layers.15.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80160,9 +30213,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3847,3848,sdpa_result.47,tensor.93">
+				<port id="5" precision="FP32" names="2120,attn_output.91">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -80170,15 +30224,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5256" name="Constant_14054" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1950" name="__module.model.gpt_neox.layers.15.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3849">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5257" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1951" name="__module.model.gpt_neox.layers.15.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -80186,12 +30240,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3850">
+				<port id="2" precision="FP32" names="2121">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -80199,19 +30253,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5258" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5259" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1952" name="__module.model.gpt_neox.layers.15.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -80224,23 +30267,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3855">
+				<port id="2" precision="FP32" names="2124">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5260" name="self.model.gpt_neox.layers.23.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="3921527170" size="13107200" />
+		<layer id="1953" name="self.model.gpt_neox.layers.15.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="2657853702" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5261" name="self.model.gpt_neox.layers.23.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="1954" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80258,13 +30301,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5262" name="__module.model.gpt_neox.layers.23.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1955" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -80279,37 +30322,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5263" name="Constant_325426_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3934634370" size="5120" />
+		<layer id="1956" name="self.model.gpt_neox.layers.15.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2670960902" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5264" name="Constant_325426" type="Convert" version="opset1">
+		<layer id="1957" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5265" name="__module.model.gpt_neox.layers.23.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1958" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80318,20 +30355,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3858,3860,input.95">
+				<port id="2" precision="FP32" names="2128,2130,input.153">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5266" name="__module.model.gpt_neox.layers.23/aten::add/Add" type="Add" version="opset1">
+		<layer id="1959" name="__module.model.gpt_neox.layers.15/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80346,14 +30381,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3864,attn_output.95">
+				<port id="2" precision="FP32" names="2134,input.155">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5267" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1960" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -80361,7 +30396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5268" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1961" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80381,8 +30416,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5269" name="Constant_325427_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3934639490" size="5120" />
+		<layer id="1962" name="Constant_117204_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2670966022" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -80391,7 +30426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5270" name="Constant_325427" type="Convert" version="opset1">
+		<layer id="1963" name="Constant_117204" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80411,7 +30446,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5271" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1964" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80433,8 +30468,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5272" name="Constant_325428_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3934644610" size="5120" />
+		<layer id="1965" name="Constant_117205_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2670971142" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -80443,7 +30478,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5273" name="Constant_325428" type="Convert" version="opset1">
+		<layer id="1966" name="Constant_117205" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80463,7 +30498,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5274" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1967" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80478,23 +30513,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3868">
+				<port id="2" precision="FP32" names="2138">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5275" name="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="3934649730" size="52428800" />
+		<layer id="1968" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="2670976262" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5276" name="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="1969" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80512,7 +30547,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5277" name="__module.model.gpt_neox.layers.23.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1970" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80533,37 +30568,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5278" name="Constant_325429_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="3987078530" size="20480" />
+		<layer id="1971" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2723405062" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
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-		<layer id="5279" name="Constant_325429" type="Convert" version="opset1">
+		<layer id="1972" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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@@ -80572,20 +30601,18 @@
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@@ -80595,23 +30622,23 @@
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-			<data element_type="f16" shape="2560, 10240" offset="3987099010" size="52428800" />
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@@ -80629,7 +30656,7 @@
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@@ -80650,37 +30677,31 @@
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+		<layer id="1978" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
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-		<layer id="5286" name="Constant_325430" type="Convert" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -80689,20 +30710,18 @@
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@@ -80717,14 +30736,14 @@
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@@ -80732,7 +30751,7 @@
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 		</layer>
-		<layer id="5290" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -80752,8 +30771,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="4039532930" size="5120" />
+		<layer id="1984" name="Constant_117206_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -80762,7 +30781,7 @@
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 			</output>
 		</layer>
-		<layer id="5292" name="Constant_325431" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -80782,7 +30801,7 @@
 				</port>
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+		<layer id="1986" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80804,8 +30823,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="4039538050" size="5120" />
+		<layer id="1987" name="Constant_117207_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -80814,7 +30833,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5295" name="Constant_325432" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80834,7 +30853,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -80849,23 +30868,23 @@
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 			<output>
-				<port id="2" precision="FP32" names="3891">
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-			<data element_type="f16" shape="7680, 2560" offset="4039543170" size="39321600" />
+		<layer id="1990" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="2775869702" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.attention.query_key_value.weight">
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 		</layer>
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80883,7 +30902,7 @@
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 			</output>
 		</layer>
-		<layer id="5299" name="__module.model.gpt_neox.layers.24.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1992" name="__module.model.gpt_neox.layers.16.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80904,173 +30923,643 @@
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 		</layer>
-		<layer id="5300" name="Constant_325433_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="4078864770" size="15360" />
+		<layer id="1993" name="self.model.gpt_neox.layers.16.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="2815191302" size="15360" />
 			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1994" name="__module.model.gpt_neox.layers.16.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
 				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1995" name="__module.model.gpt_neox.layers.16.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+					<dim>7680</dim>
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+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2168">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1996" name="Constant_125453" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1997" name="__module.model.gpt_neox.layers.16.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2170">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1998" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
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+			</output>
+		</layer>
+		<layer id="1999" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I32">
+					<dim>4</dim>
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+			<output>
+				<port id="2" precision="FP32" names="2171,qkv.33">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2000" name="__module.model.gpt_neox.layers.16.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+				<port id="2" precision="I32">
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+			<output>
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+					<dim>80</dim>
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+				<port id="4" precision="FP32" names="2174,k.33">
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+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="5" precision="FP32" names="2175,value_states.33">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+		<layer id="2001" name="Constant_12052" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		<layer id="2002" name="Constant_12055" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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+				<port id="0" precision="I64">
 					<dim>1</dim>
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+		</layer>
+		<layer id="2003" name="Constant_12050" type="Const" version="opset1">
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 					<dim>1</dim>
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 				</port>
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="2004" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice" type="Slice" version="opset8">
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+				<port id="4" precision="I64">
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+					<dim>-1</dim>
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-		<layer id="5310" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2034" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -81078,41 +31567,31 @@
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2038" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81121,183 +31600,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2209,x2.67">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="2039" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
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-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5316" name="self.model.gpt_neox.layers.24.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="2040" name="__module.model.gpt_neox.layers.16.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
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+				<port id="0" precision="I32" />
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 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
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+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5317" name="__module.model.gpt_neox.layers.24.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2041" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2210">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
-		<layer id="5318" name="Constant_302831" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2042" name="Constant_12310" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2043" name="Constant_12351" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2044" name="Constant_12308" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2045" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>80</dim>
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3906">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2204,x1.67">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5322" name="ShapeOf_340093" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2046" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2212">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2047" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2213">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5324" name="Constant_340095" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2048" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="2214,2218,k_embed.33,key_states.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5325" name="Gather_340096" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2049" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3916">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.65">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5326" name="Constant_433262_compressed" type="Const" version="opset1">
+		<layer id="2050" name="Constant_128364_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5327" name="Constant_433262" type="Convert" version="opset1">
+		<layer id="2051" name="Constant_128364" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -81309,7 +31828,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5328" name="Constant_433255" type="Const" version="opset1">
+		<layer id="2052" name="Constant_128357" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -81317,7 +31836,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5329" name="Constant_433257" type="Const" version="opset1">
+		<layer id="2053" name="Constant_128359" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -81325,7 +31844,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5330" name="Constant_433259" type="Const" version="opset1">
+		<layer id="2054" name="Constant_128361" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -81333,7 +31852,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5331" name="Concat_433260" type="Concat" version="opset1">
+		<layer id="2055" name="Concat_128362" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -81355,7 +31874,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5332" name="Broadcast_433263" type="Broadcast" version="opset3">
+		<layer id="2056" name="Broadcast_128365" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -81372,8 +31891,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5333" name="ReadValue_417350" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.24.keypresent.24.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2057" name="ReadValue_127451" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.16.valuepresent.16.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81383,7 +31902,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.24.key">
+				<port id="1" precision="FP32" names="past_key_values.16.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81391,13 +31910,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5334" name="Constant_402034" type="Const" version="opset1">
+		<layer id="2058" name="Constant_126916" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5335" name="Gather_402035" type="Gather" version="opset8">
+		<layer id="2059" name="Gather_126917" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -81420,8 +31939,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5336" name="ShapeOf_340098" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2060" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81429,387 +31948,315 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
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-			</output>
-		</layer>
-		<layer id="5337" name="Constant_340099" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5338" name="Constant_340100" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="5339" name="Gather_340101" type="Gather" version="opset8">
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-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			<output>
-				<port id="3" precision="I64" names="3918" />
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-		</layer>
-		<layer id="5340" name="Constant_337824" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="5341" name="Reshape_340953" type="Reshape" version="opset1">
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-				<port id="0" precision="I64" />
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-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-		<layer id="5343" name="__module.model.gpt_neox.layers.24.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.65">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="2061" name="__module.model.gpt_neox.layers.16.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
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 					<dim>80</dim>
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 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3914,k.49">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2105" name="self.model.gpt_neox.layers.17.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="2972544262" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.17.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2106" name="__module.model.gpt_neox.layers.17.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5386" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2107" name="__module.model.gpt_neox.layers.17.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3952">
+				<port id="2" precision="FP32" names="2279">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5387" name="Constant_302955" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
+		<layer id="2108" name="Constant_125454" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -82225,113 +32756,121 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5388" name="Constant_302954" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5389" name="__module.model.gpt_neox.layers.24.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2109" name="__module.model.gpt_neox.layers.17.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>7680</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2281">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5390" name="__module.model.gpt_neox.layers.24.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2110" name="__module.model.gpt_neox.layers.17.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5391" name="__module.model.gpt_neox.layers.24.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2111" name="__module.model.gpt_neox.layers.17.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3953,3958" />
+				<port id="2" precision="FP32" names="2282,qkv.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5392" name="__module.model.gpt_neox.layers.24.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="2112" name="__module.model.gpt_neox.layers.17.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
 				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5393" name="__module.model.gpt_neox.layers.24.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3955,3956,3960,3961" />
+				<port id="3" precision="FP32" names="2284,q.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="2285,k.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="5" precision="FP32" names="2286,value_states.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5394" name="Constant_337828" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2113" name="Constant_12760" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5395" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2114" name="Constant_12763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5396" name="Constant_302953" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2115" name="Constant_12758" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5397" name="ScatterUpdate_302956" type="ScatterUpdate" version="opset3">
+		<layer id="2116" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -82339,40 +32878,72 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2290,q_rot.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5398" name="Constant_302959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2117" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2294">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2118" name="Constant_12942" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5399" name="Constant_302962" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2119" name="Constant_12944" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2120" name="Constant_12901" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5400" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2121" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82381,17 +32952,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3962,x2.99">
+				<port id="5" precision="FP32" names="2304,x2.69">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82399,40 +32973,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5401" name="Constant_325435_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="2122" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5402" name="Constant_325435" type="Convert" version="opset1">
+		<layer id="2123" name="__module.model.gpt_neox.layers.17.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5403" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2124" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82441,15 +32997,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3963">
+				<port id="2" precision="FP32" names="2305">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82457,30 +33008,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5404" name="Constant_303007" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2125" name="Constant_12809" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5405" name="Constant_303012" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2126" name="Constant_12850" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2127" name="Constant_12807" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5406" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2128" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82489,17 +33041,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3957">
+				<port id="5" precision="FP32" names="2299,x1.69">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82507,7 +33062,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5407" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2129" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82524,7 +33079,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3965">
+				<port id="2" precision="FP32" names="2307">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82532,7 +33087,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5408" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2130" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82549,7 +33104,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3966">
+				<port id="2" precision="FP32" names="2308">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82557,7 +33112,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5409" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2131" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82574,32 +33129,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3967,3971">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
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-					<dim>-1</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.24.key">
+				<port id="2" precision="FP32" names="2309,2327,q_embed.35,query.69">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82607,13 +33137,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5411" name="Constant_433275_compressed" type="Const" version="opset1">
+		<layer id="2132" name="Constant_128400_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5412" name="Constant_433275" type="Convert" version="opset1">
+		<layer id="2133" name="Constant_128400" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -82625,7 +33155,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5413" name="Constant_433268" type="Const" version="opset1">
+		<layer id="2134" name="Constant_128393" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -82633,7 +33163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5414" name="Constant_433270" type="Const" version="opset1">
+		<layer id="2135" name="Constant_128395" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -82641,7 +33171,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5415" name="Constant_433272" type="Const" version="opset1">
+		<layer id="2136" name="Constant_128397" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -82649,7 +33179,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5416" name="Concat_433273" type="Concat" version="opset1">
+		<layer id="2137" name="Concat_128398" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -82671,7 +33201,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5417" name="Broadcast_433276" type="Broadcast" version="opset3">
+		<layer id="2138" name="Broadcast_128401" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -82688,8 +33218,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5418" name="ReadValue_417352" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.24.valuepresent.24.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2139" name="ReadValue_127453" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.17.keypresent.17.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82699,7 +33229,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.24.value">
+				<port id="1" precision="FP32" names="past_key_values.17.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82707,13 +33237,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5419" name="Constant_402037" type="Const" version="opset1">
+		<layer id="2140" name="Constant_126919" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5420" name="Gather_402038" type="Gather" version="opset8">
+		<layer id="2141" name="Gather_126920" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82736,89 +33266,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5421" name="Constant_303057" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2142" name="Constant_12778" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5422" name="Constant_303060" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2143" name="Constant_12781" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5423" name="Constant_303063" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2144" name="Constant_12776" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5424" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2145" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="3909">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5425" name="Constant_14194" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3910">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5426" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3911">
+				<port id="5" precision="FP32" names="2292,k_rot.35">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82826,8 +33320,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5427" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="2146" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82837,13 +33331,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.24.value">
+				<port id="2" precision="FP32" names="2310">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82851,41 +33345,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5428" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="2147" name="Constant_13151" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3988">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5429" name="Constant_303067" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2148" name="Constant_13153" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5430" name="Constant_303066" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2149" name="Constant_13110" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5431" name="ShapeOf_340103" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2150" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82893,208 +33377,264 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5432" name="Constant_340104" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="2320,x2.71">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5433" name="Constant_340105" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2151" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5434" name="Gather_340106" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2152" name="__module.model.gpt_neox.layers.17.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5435" name="Add_340107" type="Add" version="opset1">
+		<layer id="2153" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" names="3983" />
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-		<layer id="5436" name="ShapeOf_340174" type="ShapeOf" version="opset3">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2321">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5437" name="Constant_340175" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2154" name="Constant_13018" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5438" name="Constant_340176" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2155" name="Constant_13059" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5439" name="Gather_340177" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="2156" name="Constant_13016" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
 				<port id="0" precision="I64">
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-			<output>
-				<port id="3" precision="I64" names="3981" />
 			</output>
 		</layer>
-		<layer id="5440" name="__module.model.gpt_neox.layers.24.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2157" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2315,x1.71">
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 		</layer>
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+		</layer>
+		<layer id="2165" name="Constant_128383" type="Const" version="opset1">
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+		<layer id="2166" name="Constant_128385" type="Const" version="opset1">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5448" name="ScatterUpdate_303070" type="ScatterUpdate" version="opset3">
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
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@@ -83102,483 +33642,559 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 			</input>
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 		</layer>
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+		<layer id="2168" name="Broadcast_128389" type="Broadcast" version="opset3">
+			<data mode="numpy" />
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-				<port id="3" precision="I64">
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 			<output>
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 		</layer>
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@@ -83586,27 +34202,27 @@
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+		<layer id="2203" name="__module.model.gpt_neox.layers.17.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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@@ -83656,20 +34266,18 @@
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@@ -83684,14 +34292,14 @@
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@@ -83699,7 +34307,7 @@
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@@ -83719,8 +34327,8 @@
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@@ -83729,7 +34337,7 @@
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-		<layer id="5488" name="Constant_325437" type="Convert" version="opset1">
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@@ -83749,7 +34357,7 @@
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-		<layer id="5489" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2210" name="__module.model.gpt_neox.layers.18.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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@@ -83771,8 +34379,8 @@
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@@ -83781,7 +34389,7 @@
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-		<layer id="5491" name="Constant_325438" type="Convert" version="opset1">
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@@ -83801,7 +34409,7 @@
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-		<layer id="5492" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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-			<data element_type="f16" shape="10240, 2560" offset="4092002690" size="52428800" />
+		<layer id="2214" name="self.model.gpt_neox.layers.18.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="3090575622" size="39321600" />
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 		</layer>
-		<layer id="5494" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -83859,7 +34467,7 @@
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 				<port id="1" precision="FP32">
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@@ -83867,548 +34475,647 @@
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+		<layer id="2217" name="self.model.gpt_neox.layers.18.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="3129897222" size="15360" />
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 		</layer>
-		<layer id="5497" name="Constant_325439" type="Convert" version="opset1">
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+		<layer id="2220" name="Constant_125455" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
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+		</layer>
+		<layer id="2221" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4052">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2403,k_rot.37">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5527" name="Constant_14747" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="4053">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5528" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2258" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4054,query.151">
+				<port id="2" precision="FP32" names="2421">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84416,41 +35123,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5529" name="Constant_303170" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2259" name="Constant_13859" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5530" name="Constant_303173" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2260" name="Constant_13861" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5531" name="Constant_303176" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2261" name="Constant_13818" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5532" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2262" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -84459,183 +35156,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4061,q.51">
+				<port id="5" precision="FP32" names="2431,x2.75">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5533" name="self.model.gpt_neox.layers.25.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="2263" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="2264" name="__module.model.gpt_neox.layers.18.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5534" name="self.model.gpt_neox.layers.25.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="2265" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="2" precision="FP32" names="2432">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5535" name="__module.model.gpt_neox.layers.25.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="2266" name="Constant_13726" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5536" name="Constant_303182" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5537" name="Constant_303185" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2267" name="Constant_13767" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5538" name="Constant_303188" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2268" name="Constant_13724" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5539" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2269" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4055">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2426,x1.75">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5540" name="ShapeOf_340184" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2270" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2434">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5541" name="Constant_341045" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2271" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2435">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5542" name="Constant_340186" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2272" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="2436,2440,k_embed.37,key_states.39">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5543" name="Gather_340187" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2273" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4065">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.73">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5544" name="Constant_433288_compressed" type="Const" version="opset1">
+		<layer id="2274" name="Constant_128412_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5545" name="Constant_433288" type="Convert" version="opset1">
+		<layer id="2275" name="Constant_128412" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -84647,7 +35384,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5546" name="Constant_433281" type="Const" version="opset1">
+		<layer id="2276" name="Constant_128405" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -84655,7 +35392,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5547" name="Constant_433283" type="Const" version="opset1">
+		<layer id="2277" name="Constant_128407" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -84663,7 +35400,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5548" name="Constant_433285" type="Const" version="opset1">
+		<layer id="2278" name="Constant_128409" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -84671,7 +35408,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5549" name="Concat_433286" type="Concat" version="opset1">
+		<layer id="2279" name="Concat_128410" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -84693,7 +35430,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5550" name="Broadcast_433289" type="Broadcast" version="opset3">
+		<layer id="2280" name="Broadcast_128413" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -84710,8 +35447,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5551" name="ReadValue_417354" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.25.keypresent.25.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2281" name="ReadValue_127459" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.18.valuepresent.18.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -84721,7 +35458,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.25.key">
+				<port id="1" precision="FP32" names="past_key_values.18.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84729,13 +35466,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5552" name="Constant_402040" type="Const" version="opset1">
+		<layer id="2282" name="Constant_126928" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5553" name="Gather_402041" type="Gather" version="opset8">
+		<layer id="2283" name="Gather_126929" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -84758,8 +35495,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5554" name="ShapeOf_340189" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2284" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -84767,387 +35504,670 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
+				<port id="2" precision="FP32" names="value.73">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+		<layer id="2323" name="Constant_117219_compressed" type="Const" version="opset1">
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@@ -85156,309 +36176,219 @@
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2335" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 					<dim>32</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2336" name="__module.model.gpt_neox.layers.19.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 			</input>
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 					<dim>32</dim>
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 					<dim>80</dim>
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="2507,k.39">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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+				<port id="5" precision="FP32" names="2508,value_states.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85466,41 +36396,31 @@
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="2338" name="Constant_14179" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2339" name="Constant_14174" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2340" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85509,17 +36429,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4063,k.51">
+				<port id="5" precision="FP32" names="2512,q_rot.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85527,7 +36450,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5604" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2341" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85544,173 +36467,39 @@
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-		</layer>
-		<layer id="5605" name="Constant_303306" type="Const" version="opset1">
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-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="2516">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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-			<output>
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-			<output>
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-				<port id="1" precision="I64" />
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-			<output>
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-		<layer id="5611" name="__module.model.gpt_neox.layers.25.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
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-			<output>
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-		<layer id="5612" name="Constant_337838" type="Const" version="opset1">
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
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+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
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 				<port id="0" precision="I64">
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-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="2343" name="Constant_14360" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="2344" name="Constant_14317" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2345" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85719,17 +36508,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2526,x2.77">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85737,40 +36529,22 @@
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 			</output>
 		</layer>
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+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5620" name="Constant_325445" type="Convert" version="opset1">
+		<layer id="2347" name="__module.model.gpt_neox.layers.19.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
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-					<dim>1</dim>
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-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
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 		</layer>
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+		<layer id="2348" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85779,15 +36553,10 @@
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 					<dim>40</dim>
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-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2527">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85795,30 +36564,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5622" name="Constant_303358" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2349" name="Constant_14225" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2350" name="Constant_14266" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2351" name="Constant_14223" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5624" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2352" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85827,17 +36597,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4106">
+				<port id="5" precision="FP32" names="2521,x1.77">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85845,7 +36618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5625" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2353" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85862,7 +36635,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4114">
+				<port id="2" precision="FP32" names="2529">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85870,7 +36643,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5626" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2354" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85887,7 +36660,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4115">
+				<port id="2" precision="FP32" names="2530">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85895,7 +36668,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5627" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2355" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85912,32 +36685,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4116,4120">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
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-		<layer id="5628" name="__module.model.gpt_neox.layers.25.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.25.key">
+				<port id="2" precision="FP32" names="2531,2549,q_embed.39,query.77">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85945,13 +36693,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5629" name="Constant_433301_compressed" type="Const" version="opset1">
+		<layer id="2356" name="Constant_128448_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5630" name="Constant_433301" type="Convert" version="opset1">
+		<layer id="2357" name="Constant_128448" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -85963,7 +36711,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5631" name="Constant_433294" type="Const" version="opset1">
+		<layer id="2358" name="Constant_128441" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -85971,7 +36719,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5632" name="Constant_433296" type="Const" version="opset1">
+		<layer id="2359" name="Constant_128443" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -85979,7 +36727,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5633" name="Constant_433298" type="Const" version="opset1">
+		<layer id="2360" name="Constant_128445" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -85987,7 +36735,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5634" name="Concat_433299" type="Concat" version="opset1">
+		<layer id="2361" name="Concat_128446" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -86009,7 +36757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5635" name="Broadcast_433302" type="Broadcast" version="opset3">
+		<layer id="2362" name="Broadcast_128449" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -86026,8 +36774,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5636" name="ReadValue_417356" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.25.valuepresent.25.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2363" name="ReadValue_127461" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.keypresent.19.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86037,7 +36785,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.25.value">
+				<port id="1" precision="FP32" names="past_key_values.19.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -86045,13 +36793,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5637" name="Constant_402043" type="Const" version="opset1">
+		<layer id="2364" name="Constant_126931" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5638" name="Gather_402044" type="Gather" version="opset8">
+		<layer id="2365" name="Gather_126932" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -86074,89 +36822,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5639" name="Constant_303408" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2366" name="Constant_14194" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5640" name="Constant_303411" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2367" name="Constant_14197" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5641" name="Constant_303414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2368" name="Constant_14192" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5642" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2369" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="5643" name="Constant_14775" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4059">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5644" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4060">
+				<port id="5" precision="FP32" names="2514,k_rot.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -86164,8 +36876,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5645" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="2370" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86175,13 +36887,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.25.value">
+				<port id="2" precision="FP32" names="2532">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -86189,98 +36901,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5646" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
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-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-		</layer>
-		<layer id="5647" name="Constant_303418" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2371" name="Constant_14567" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5648" name="Constant_303417" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2372" name="Constant_14569" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			<output>
-				<port id="1" precision="I64">
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-		</layer>
-		<layer id="5650" name="Constant_340195" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5651" name="Constant_340196" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2373" name="Constant_14526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5652" name="Gather_340197" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" />
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-		</layer>
-		<layer id="5653" name="Add_340198" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" names="4132" />
 			</output>
 		</layer>
-		<layer id="5654" name="ShapeOf_340265" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2374" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86288,255 +36933,94 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-		<layer id="5655" name="Constant_340266" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2390" name="Constant_128433" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5688" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2391" name="Concat_128434" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -86766,50 +37203,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4142">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5689" name="Maximum_316790" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2392" name="Broadcast_128437" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5690" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2393" name="ReadValue_127463" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.valuepresent.19.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.19.value">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="2394" name="Constant_126934" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2395" name="Gather_126935" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4144">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2396" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="value.77">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5691" name="__module.model.gpt_neox.layers.25.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2397" name="__module.model.gpt_neox.layers.19.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -86836,9 +37325,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4145,4146,sdpa_result.51,tensor.101">
+				<port id="5" precision="FP32" names="2564,attn_output.115">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -86846,15 +37336,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5692" name="Constant_15216" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2398" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4147">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5693" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2399" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86862,12 +37352,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4148">
+				<port id="2" precision="FP32" names="2565">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -86875,19 +37365,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5694" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5695" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2400" name="__module.model.gpt_neox.layers.19.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86900,23 +37379,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4153">
+				<port id="2" precision="FP32" names="2568">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5696" name="self.model.gpt_neox.layers.25.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="4236233090" size="13107200" />
+		<layer id="2401" name="self.model.gpt_neox.layers.19.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="3287265542" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5697" name="self.model.gpt_neox.layers.25.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="2402" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -86934,13 +37413,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5698" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2403" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -86955,37 +37434,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5699" name="Constant_325446_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4249340290" size="5120" />
+		<layer id="2404" name="self.model.gpt_neox.layers.19.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="3300372742" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5700" name="Constant_325446" type="Convert" version="opset1">
+		<layer id="2405" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5701" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2406" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -86994,20 +37467,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4156,4158,input.103">
+				<port id="2" precision="FP32" names="2572,2574,input.193">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5702" name="__module.model.gpt_neox.layers.25/aten::add/Add" type="Add" version="opset1">
+		<layer id="2407" name="__module.model.gpt_neox.layers.19/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87022,14 +37493,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4162,attn_output.103">
+				<port id="2" precision="FP32" names="2578,input.195">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5703" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2408" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -87037,7 +37508,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5704" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2409" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87057,8 +37528,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5705" name="Constant_325447_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4249345410" size="5120" />
+		<layer id="2410" name="Constant_117220_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3300377862" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -87067,7 +37538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5706" name="Constant_325447" type="Convert" version="opset1">
+		<layer id="2411" name="Constant_117220" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87087,7 +37558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5707" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2412" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87109,8 +37580,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5708" name="Constant_325448_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4249350530" size="5120" />
+		<layer id="2413" name="Constant_117221_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3300382982" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -87119,7 +37590,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5709" name="Constant_325448" type="Convert" version="opset1">
+		<layer id="2414" name="Constant_117221" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87139,7 +37610,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5710" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2415" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87154,23 +37625,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4166">
+				<port id="2" precision="FP32" names="2582">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5711" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="4249355650" size="52428800" />
+		<layer id="2416" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="3300388102" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5712" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="2417" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87188,7 +37659,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5713" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2418" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87209,37 +37680,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5714" name="Constant_325449_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="4301784450" size="20480" />
+		<layer id="2419" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="3352816902" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5715" name="Constant_325449" type="Convert" version="opset1">
+		<layer id="2420" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5716" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2421" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87248,20 +37713,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4171">
+				<port id="2" precision="FP32" names="2587,input.197">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5717" name="__module.model.gpt_neox.layers.25.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="2422" name="__module.model.gpt_neox.layers.19.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87271,23 +37734,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4172">
+				<port id="1" precision="FP32" names="2588">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5718" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="4301804930" size="52428800" />
+		<layer id="2423" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="3352837382" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight">
 					<dim>2560</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5719" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="2424" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87305,7 +37768,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5720" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2425" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87326,8 +37789,154 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5721" name="Constant_325450_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4354233730" size="5120" />
+		<layer id="2426" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="3405266182" size="5120" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2427" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2428" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2591,input.199">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2429" name="__module.model.gpt_neox.layers.19/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2593,2595,input.201">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2430" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2431" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2432" name="Constant_117222_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3405271302" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2433" name="Constant_117222" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2434" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2435" name="Constant_117223_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3405276422" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -87336,7 +37945,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5722" name="Constant_325450" type="Convert" version="opset1">
+		<layer id="2436" name="Constant_117223" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87356,7 +37965,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5723" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2437" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87367,386 +37976,702 @@
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2605,hidden_states.41">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2438" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="3405281542" size="39321600" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.20.attention.query_key_value.weight">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2439" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2440" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2441" name="self.model.gpt_neox.layers.20.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="3444603142" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.20.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2442" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2443" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2612">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2444" name="Constant_125457" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2445" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2614">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2446" name="__module.model.gpt_neox.layers.20.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2447" name="__module.model.gpt_neox.layers.20.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2615,qkv.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2448" name="__module.model.gpt_neox.layers.20.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="2617,q.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="2618,k.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="5" precision="FP32" names="2619,value_states.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2449" name="Constant_14884" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2450" name="Constant_14887" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2451" name="Constant_14882" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2452" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4175,input.105">
+				<port id="5" precision="FP32" names="2623,q_rot.41">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5724" name="__module.model.gpt_neox.layers.25/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2453" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4177,4179,hidden_states.53">
+				<port id="2" precision="FP32" names="2627">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>80</dim>
 				</port>
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2625,k_rot.41">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-		</layer>
-		<layer id="5746" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2482" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2643">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -87754,41 +38679,31 @@
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 			</output>
 		</layer>
-		<layer id="5747" name="Constant_303521" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2483" name="Constant_15275" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5748" name="Constant_303524" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2484" name="Constant_15277" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2485" name="Constant_15234" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2486" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -87797,183 +38712,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2653,x2.83">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="2487" name="__module.model.gpt_neox.layers.20.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
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-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5752" name="self.model.gpt_neox.layers.26.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="2488" name="__module.model.gpt_neox.layers.20.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
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+				<port id="0" precision="I32" />
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 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5753" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2489" name="__module.model.gpt_neox.layers.20.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2654">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="2490" name="Constant_15142" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2491" name="Constant_15183" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2492" name="Constant_15140" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2493" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>80</dim>
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2648,x1.83">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5758" name="ShapeOf_340275" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2494" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2656">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2495" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2657">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2496" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="2658,2662,k_embed.41,key_states.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5761" name="Gather_340278" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2497" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="4214">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.81">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5762" name="Constant_433314_compressed" type="Const" version="opset1">
+		<layer id="2498" name="Constant_128460_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5763" name="Constant_433314" type="Convert" version="opset1">
+		<layer id="2499" name="Constant_128460" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87985,7 +38940,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5764" name="Constant_433307" type="Const" version="opset1">
+		<layer id="2500" name="Constant_128453" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -87993,7 +38948,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5765" name="Constant_433309" type="Const" version="opset1">
+		<layer id="2501" name="Constant_128455" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88001,7 +38956,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5766" name="Constant_433311" type="Const" version="opset1">
+		<layer id="2502" name="Constant_128457" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88009,7 +38964,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5767" name="Concat_433312" type="Concat" version="opset1">
+		<layer id="2503" name="Concat_128458" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -88031,7 +38986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5768" name="Broadcast_433315" type="Broadcast" version="opset3">
+		<layer id="2504" name="Broadcast_128461" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -88048,8 +39003,8 @@
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 			</output>
 		</layer>
-		<layer id="5769" name="ReadValue_417358" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.26.keypresent.26.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2505" name="ReadValue_127471" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.20.valuepresent.20.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88059,7 +39014,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.26.key">
+				<port id="1" precision="FP32" names="past_key_values.20.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88067,13 +39022,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5770" name="Constant_402046" type="Const" version="opset1">
+		<layer id="2506" name="Constant_126940" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5771" name="Gather_402047" type="Gather" version="opset8">
+		<layer id="2507" name="Gather_126941" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88096,8 +39051,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5772" name="ShapeOf_340280" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2508" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88105,387 +39060,263 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
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-		</layer>
-		<layer id="5773" name="Constant_340281" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5774" name="Constant_340282" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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@@ -88494,658 +39325,540 @@
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+		<layer id="2548" name="Constant_117227" type="Convert" version="opset1">
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+		<layer id="2552" name="__module.model.gpt_neox.layers.21.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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+		<layer id="2555" name="__module.model.gpt_neox.layers.21.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="2556" name="Constant_125458" type="Const" version="opset1">
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@@ -89155,77 +39868,83 @@
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+		<layer id="2557" name="__module.model.gpt_neox.layers.21.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 			</input>
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+		<layer id="2558" name="__module.model.gpt_neox.layers.21.attention/aten::transpose/Constant" type="Const" version="opset1">
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+			</output>
+		</layer>
+		<layer id="2559" name="__module.model.gpt_neox.layers.21.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 					<dim>-1</dim>
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 				<port id="0" precision="FP32">
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+					<dim>3</dim>
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+			</input>
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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-				<port id="1" precision="FP32">
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+				<port id="5" precision="FP32" names="2730,value_states.43">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -89233,8 +39952,31 @@
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 		</layer>
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+		<layer id="2561" name="Constant_15592" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2562" name="Constant_15595" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2563" name="Constant_15590" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2564" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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@@ -89242,15 +39984,21 @@
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 					<dim>80</dim>
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-					<dim>-1</dim>
-					<dim>80</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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@@ -89258,8 +40006,8 @@
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+		<layer id="2565" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply" type="Multiply" version="opset1">
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@@ -89269,13 +40017,13 @@
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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 			<output>
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@@ -89283,53 +40031,37 @@
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-		<layer id="5849" name="Constant_433320" type="Const" version="opset1">
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+		<layer id="2566" name="Constant_15774" type="Const" version="opset1">
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+		<layer id="2567" name="Constant_15776" type="Const" version="opset1">
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-		<layer id="5851" name="Constant_433324" type="Const" version="opset1">
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+		<layer id="2568" name="Constant_15733" type="Const" version="opset1">
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 		</layer>
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-			<data axis="0" />
+		<layer id="2569" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_1" type="Slice" version="opset8">
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+					<dim>-1</dim>
+					<dim>80</dim>
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@@ -89340,161 +40072,151 @@
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-				<port id="1" precision="I64">
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 					<dim>32</dim>
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-					<dim>80</dim>
+					<dim>-1</dim>
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 		</layer>
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-					<dim>32</dim>
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-					<dim>80</dim>
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-			</input>
+		<layer id="2570" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
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-					<dim>-1</dim>
-					<dim>80</dim>
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+				<port id="0" precision="I32" />
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 		</layer>
-		<layer id="5855" name="Constant_402049" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="2571" name="__module.model.gpt_neox.layers.21.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
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 			<output>
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 		</layer>
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+		<layer id="2574" name="Constant_15682" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+		<layer id="2575" name="Constant_15639" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+		<layer id="2576" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_2" type="Slice" version="opset8">
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>1</dim>
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+					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2577" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="2751">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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 		</layer>
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-		</layer>
-		<layer id="5862" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2578" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2752">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -89502,8 +40224,8 @@
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 			</output>
 		</layer>
-		<layer id="5863" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="2579" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -89519,7 +40241,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.26.value">
+				<port id="2" precision="FP32" names="2753,2771,q_embed.43,query.85">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -89527,193 +40249,166 @@
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 			</output>
 		</layer>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="2580" name="Constant_128496_compressed" type="Const" version="opset1">
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 			<output>
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-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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+				<port id="0" precision="FP16" />
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-			<data element_type="i64" shape="3" offset="302408988" size="24" />
+		<layer id="2581" name="Constant_128496" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
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+				<port id="0" precision="FP16" />
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 			<output>
-				<port id="0" precision="I64">
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+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5866" name="Constant_303768" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2582" name="Constant_128489" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</input>
+		<layer id="2583" name="Constant_128491" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="1" precision="I64">
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+				<port id="0" precision="I64">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
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 		</layer>
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-			<data batch_dims="0" />
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 			<input>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</input>
 			<output>
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 		</layer>
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-				<port id="1" precision="I64" />
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 			<output>
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+					<dim>0</dim>
+					<dim>80</dim>
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 		</layer>
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+		<layer id="2587" name="ReadValue_127473" type="ReadValue" version="opset6">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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 			<output>
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 		</layer>
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+		<layer id="2590" name="Constant_15610" type="Const" version="opset1">
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+		<layer id="2591" name="Constant_15613" type="Const" version="opset1">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="2592" name="Constant_15608" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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-				<port id="0" precision="I32">
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 		</layer>
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+		<layer id="2593" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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@@ -89721,56 +40416,78 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
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+				<port id="5" precision="FP32" names="2736,k_rot.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2594" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="2" precision="FP32" names="2754">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2595" name="Constant_15983" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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 				<port id="0" precision="I64">
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-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+		<layer id="2596" name="Constant_15985" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="2597" name="Constant_15942" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5884" name="ScatterUpdate_303772" type="ScatterUpdate" version="opset3">
+		<layer id="2598" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -89778,103 +40495,88 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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 			</input>
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+				<port id="5" precision="FP32" names="2764,x2.87">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2599" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Constant_1" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I32" />
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2600" name="__module.model.gpt_neox.layers.21.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
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-				<port id="3" precision="I64">
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+				<port id="0" precision="I32" />
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>2048</dim>
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+				<port id="1" precision="FP32" />
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2601" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
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 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2765">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2602" name="Constant_15850" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2603" name="Constant_15891" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2604" name="Constant_15848" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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-				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5891" name="ScatterUpdate_303850" type="ScatterUpdate" version="opset3">
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 			<input>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -89882,212 +40584,165 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		<layer id="5892" name="Constant_303853" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2759,x1.87">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2606" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
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-					<dim>1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 		</layer>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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+		<layer id="2610" name="Constant_128484_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5901" name="Constant_340363" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="2611" name="Constant_128484" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5902" name="Gather_340364" type="Gather" version="opset8">
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 			<input>
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-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4274">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5903" name="Constant_268221" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2612" name="Constant_128477" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5904" name="Constant_268223" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2613" name="Constant_128479" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5905" name="Constant_268225" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2614" name="Constant_128481" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5906" name="__module.model.gpt_neox.layers.26.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2615" name="Concat_128482" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -90104,50 +40759,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4291">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5907" name="Maximum_316862" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2616" name="Broadcast_128485" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2617" name="ReadValue_127475" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.21.valuepresent.21.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.21.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2618" name="Constant_126946" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2619" name="Gather_126947" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5908" name="__module.model.gpt_neox.layers.26.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2620" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4293">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="value.85">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5909" name="__module.model.gpt_neox.layers.26.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2621" name="__module.model.gpt_neox.layers.21.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90174,9 +40881,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4294,4295,sdpa_result.53,tensor.105">
+				<port id="5" precision="FP32" names="2786,attn_output.127">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -90184,15 +40892,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5910" name="Constant_15797" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2622" name="__module.model.gpt_neox.layers.21.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4296">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5911" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2623" name="__module.model.gpt_neox.layers.21.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -90200,12 +40908,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4297">
+				<port id="2" precision="FP32" names="2787">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -90213,19 +40921,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5912" name="__module.model.gpt_neox.layers.26.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5913" name="__module.model.gpt_neox.layers.26.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2624" name="__module.model.gpt_neox.layers.21.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -90238,23 +40935,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4302">
+				<port id="2" precision="FP32" names="2790">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5914" name="self.model.gpt_neox.layers.26.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="4393586050" size="13107200" />
+		<layer id="2625" name="self.model.gpt_neox.layers.21.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="3601971462" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.26.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5915" name="self.model.gpt_neox.layers.26.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="2626" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -90272,13 +40969,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5916" name="__module.model.gpt_neox.layers.26.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2627" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -90293,37 +40990,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5917" name="Constant_325456_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4406693250" size="5120" />
+		<layer id="2628" name="self.model.gpt_neox.layers.21.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="3615078662" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5918" name="Constant_325456" type="Convert" version="opset1">
+		<layer id="2629" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5919" name="__module.model.gpt_neox.layers.26.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2630" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90332,20 +41023,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4305,4307,input.107">
+				<port id="2" precision="FP32" names="2794,2796,input.213">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5920" name="__module.model.gpt_neox.layers.26/aten::add/Add" type="Add" version="opset1">
+		<layer id="2631" name="__module.model.gpt_neox.layers.21/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90360,14 +41049,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4311,attn_output.107">
+				<port id="2" precision="FP32" names="2800,input.215">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5921" name="__module.model.gpt_neox.layers.26.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2632" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -90375,7 +41064,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5922" name="__module.model.gpt_neox.layers.26.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2633" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90395,8 +41084,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5923" name="Constant_325457_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4406698370" size="5120" />
+		<layer id="2634" name="Constant_117228_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3615083782" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -90405,7 +41094,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5924" name="Constant_325457" type="Convert" version="opset1">
+		<layer id="2635" name="Constant_117228" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -90425,7 +41114,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5925" name="__module.model.gpt_neox.layers.26.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2636" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90447,8 +41136,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5926" name="Constant_325458_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4406703490" size="5120" />
+		<layer id="2637" name="Constant_117229_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3615088902" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -90457,7 +41146,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5927" name="Constant_325458" type="Convert" version="opset1">
+		<layer id="2638" name="Constant_117229" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -90477,7 +41166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5928" name="__module.model.gpt_neox.layers.26.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2639" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90492,23 +41181,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4315">
+				<port id="2" precision="FP32" names="2804">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5929" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="4406708610" size="52428800" />
+		<layer id="2640" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="3615094022" size="52428800" />
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-		<layer id="5930" name="self.model.gpt_neox.layers.26.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="2641" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
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@@ -90526,7 +41215,7 @@
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+		<layer id="2642" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -90547,37 +41236,31 @@
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-			<data element_type="f16" shape="1, 1, 10240" offset="4459137410" size="20480" />
+		<layer id="2643" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="3667522822" size="20480" />
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 		</layer>
-		<layer id="5933" name="Constant_325459" type="Convert" version="opset1">
+		<layer id="2644" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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-		<layer id="5934" name="__module.model.gpt_neox.layers.26.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2645" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -90586,20 +41269,18 @@
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-		<layer id="5935" name="__module.model.gpt_neox.layers.26.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="2646" name="__module.model.gpt_neox.layers.21.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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@@ -90609,23 +41290,23 @@
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-			<data element_type="f16" shape="2560, 10240" offset="4459157890" size="52428800" />
+		<layer id="2647" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="3667543302" size="52428800" />
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 		</layer>
-		<layer id="5937" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="2648" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -90643,7 +41324,7 @@
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-		<layer id="5938" name="__module.model.gpt_neox.layers.26.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2649" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -90664,37 +41345,31 @@
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-		<layer id="5939" name="Constant_325460_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4511586690" size="5120" />
+		<layer id="2650" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="3719972102" size="5120" />
 			<output>
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-					<dim>1</dim>
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 		</layer>
-		<layer id="5940" name="Constant_325460" type="Convert" version="opset1">
+		<layer id="2651" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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 			</input>
 			<output>
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 		</layer>
-		<layer id="5941" name="__module.model.gpt_neox.layers.26.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2652" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -90703,20 +41378,18 @@
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 				<port id="1" precision="FP32">
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 			<output>
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-		<layer id="5942" name="__module.model.gpt_neox.layers.26/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2653" name="__module.model.gpt_neox.layers.21/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -90731,14 +41404,14 @@
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 			</input>
 			<output>
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-		<layer id="5943" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
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 			<data element_type="i32" shape="1" offset="258211870" size="4" />
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@@ -90746,7 +41419,7 @@
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 			</output>
 		</layer>
-		<layer id="5944" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2655" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
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@@ -90766,8 +41439,8 @@
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 			</output>
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-			<data element_type="f16" shape="1, 1, 2560" offset="4511591810" size="5120" />
+		<layer id="2656" name="Constant_117230_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3719977222" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -90776,7 +41449,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5946" name="Constant_325461" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -90796,7 +41469,7 @@
 				</port>
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 		</layer>
-		<layer id="5947" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2658" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90818,8 +41491,8 @@
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-		<layer id="5948" name="Constant_325462_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4511596930" size="5120" />
+		<layer id="2659" name="Constant_117231_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3719982342" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -90828,7 +41501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5949" name="Constant_325462" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -90848,7 +41521,7 @@
 				</port>
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 		</layer>
-		<layer id="5950" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2661" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2827,hidden_states.45">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
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-			<data element_type="f16" shape="7680, 2560" offset="4511602050" size="39321600" />
+		<layer id="2662" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="3719987462" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.27.attention.query_key_value.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.attention.query_key_value.weight">
 					<dim>7680</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="5952" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="2663" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -90897,7 +41570,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5953" name="__module.model.gpt_neox.layers.27.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2664" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90918,173 +41591,643 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5954" name="Constant_325463_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="4550923650" size="15360" />
+		<layer id="2665" name="self.model.gpt_neox.layers.22.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="3759309062" size="15360" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.attention.query_key_value.bias">
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5955" name="Constant_325463" type="Convert" version="opset1">
+		<layer id="2666" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2667" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2834">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2668" name="Constant_125459" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2669" name="__module.model.gpt_neox.layers.22.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			<output>
+				<port id="2" precision="FP32" names="2836">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2670" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2671" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2837,qkv.45">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2672" name="__module.model.gpt_neox.layers.22.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="3" precision="FP32" names="2839,q.45">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="4" precision="FP32" names="2840,k.45">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="5" precision="FP32" names="2841,value_states.45">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
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@@ -91092,41 +42235,31 @@
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+		<layer id="2707" name="Constant_16691" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5966" name="Constant_303875" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2708" name="Constant_16693" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5967" name="Constant_303878" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2709" name="Constant_16650" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5968" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2710" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91135,183 +42268,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4359,q.55">
+				<port id="5" precision="FP32" names="2875,x2.91">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5969" name="self.model.gpt_neox.layers.27.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="2711" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.27.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5970" name="self.model.gpt_neox.layers.27.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="2712" name="__module.model.gpt_neox.layers.22.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5971" name="__module.model.gpt_neox.layers.27.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2713" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2876">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5972" name="Constant_303884" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2714" name="Constant_16558" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5973" name="Constant_303887" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2715" name="Constant_16599" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5974" name="Constant_303890" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2716" name="Constant_16556" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5975" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2717" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4353">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2870,x1.91">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5976" name="ShapeOf_340366" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2718" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2878">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5977" name="Constant_341051" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2719" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2879">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5978" name="Constant_340368" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2720" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="2880,2884,k_embed.45,key_states.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5979" name="Gather_340369" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2721" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4363">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.89">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5980" name="Constant_433340_compressed" type="Const" version="opset1">
+		<layer id="2722" name="Constant_128508_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5981" name="Constant_433340" type="Convert" version="opset1">
+		<layer id="2723" name="Constant_128508" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -91323,7 +42496,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5982" name="Constant_433333" type="Const" version="opset1">
+		<layer id="2724" name="Constant_128501" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -91331,7 +42504,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5983" name="Constant_433335" type="Const" version="opset1">
+		<layer id="2725" name="Constant_128503" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -91339,7 +42512,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5984" name="Constant_433337" type="Const" version="opset1">
+		<layer id="2726" name="Constant_128505" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -91347,7 +42520,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5985" name="Concat_433338" type="Concat" version="opset1">
+		<layer id="2727" name="Concat_128506" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -91369,7 +42542,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5986" name="Broadcast_433341" type="Broadcast" version="opset3">
+		<layer id="2728" name="Broadcast_128509" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -91386,8 +42559,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5987" name="ReadValue_417362" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.27.keypresent.27.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2729" name="ReadValue_127479" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.22.valuepresent.22.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91397,7 +42570,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.27.key">
+				<port id="1" precision="FP32" names="past_key_values.22.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91405,13 +42578,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5988" name="Constant_402052" type="Const" version="opset1">
+		<layer id="2730" name="Constant_126952" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5989" name="Gather_402053" type="Gather" version="opset8">
+		<layer id="2731" name="Gather_126953" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -91434,8 +42607,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5990" name="ShapeOf_340371" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2732" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91443,387 +42616,670 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
+				<port id="2" precision="FP32" names="value.89">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2733" name="__module.model.gpt_neox.layers.22.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2897,attn_output.133">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2734" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2735" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2898">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
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+		<layer id="2771" name="Constant_117235_compressed" type="Const" version="opset1">
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-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2783" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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+				<port id="1" precision="I32">
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 			<output>
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+				<port id="2" precision="FP32" names="2948,qkv.47">
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 					<dim>32</dim>
 					<dim>-1</dim>
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-			<data auto_broadcast="numpy" />
+		<layer id="2784" name="__module.model.gpt_neox.layers.23.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 					<dim>-1</dim>
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-					<dim>32</dim>
-					<dim>-1</dim>
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+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
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 			</input>
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 					<dim>32</dim>
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 					<dim>80</dim>
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="2951,k.47">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="4355,key.163">
+				</port>
+				<port id="5" precision="FP32" names="2952,value_states.47">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92142,41 +43508,31 @@
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 			</output>
 		</layer>
-		<layer id="6036" name="Constant_303998" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2785" name="Constant_17008" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6037" name="Constant_304001" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2786" name="Constant_17011" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2787" name="Constant_17006" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6039" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2788" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92185,17 +43541,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4361,k.55">
+				<port id="5" precision="FP32" names="2956,q_rot.47">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92203,7 +43562,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6040" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2789" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92220,7 +43579,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4399">
+				<port id="2" precision="FP32" names="2960">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92228,165 +43587,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6041" name="Constant_304008" type="Const" version="opset1">
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-		</layer>
-		<layer id="6042" name="Constant_304007" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2790" name="Constant_17190" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6043" name="__module.model.gpt_neox.layers.27.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
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-					<dim>-1</dim>
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-			</input>
-			<output>
-				<port id="1" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="6044" name="__module.model.gpt_neox.layers.27.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
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-		</layer>
-		<layer id="6045" name="__module.model.gpt_neox.layers.27.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
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-				<port id="1" precision="I64" />
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-			</input>
-			<output>
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-			</output>
-		</layer>
-		<layer id="6046" name="__module.model.gpt_neox.layers.27.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6047" name="__module.model.gpt_neox.layers.27.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4402,4403,4407,4408" />
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-		</layer>
-		<layer id="6048" name="Constant_337858" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2791" name="Constant_17192" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-		<layer id="6050" name="Constant_304006" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2792" name="Constant_17149" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I32">
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-			</output>
-		</layer>
-		<layer id="6051" name="ScatterUpdate_304009" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6052" name="Constant_304012" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-		</layer>
-		<layer id="6053" name="Constant_304015" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="6054" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2793" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92395,17 +43620,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4409,x2.111">
+				<port id="5" precision="FP32" names="2970,x2.93">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92413,40 +43641,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6055" name="Constant_325465_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="2794" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="6056" name="Constant_325465" type="Convert" version="opset1">
+		<layer id="2795" name="__module.model.gpt_neox.layers.23.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6057" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2796" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92455,15 +43665,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4410">
+				<port id="2" precision="FP32" names="2971">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92471,30 +43676,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6058" name="Constant_304060" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2797" name="Constant_17057" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6059" name="Constant_304065" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2798" name="Constant_17098" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2799" name="Constant_17055" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6060" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2800" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92503,17 +43709,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4404">
+				<port id="5" precision="FP32" names="2965,x1.93">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92521,7 +43730,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6061" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2801" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92538,7 +43747,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4412">
+				<port id="2" precision="FP32" names="2973">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92546,7 +43755,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6062" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2802" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92563,7 +43772,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4413">
+				<port id="2" precision="FP32" names="2974">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92571,7 +43780,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6063" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2803" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92588,32 +43797,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4414,4418">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6064" name="__module.model.gpt_neox.layers.27.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.27.key">
+				<port id="2" precision="FP32" names="2975,2993,q_embed.47,query.93">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92621,13 +43805,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6065" name="Constant_433353_compressed" type="Const" version="opset1">
+		<layer id="2804" name="Constant_128544_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6066" name="Constant_433353" type="Convert" version="opset1">
+		<layer id="2805" name="Constant_128544" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -92639,7 +43823,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6067" name="Constant_433346" type="Const" version="opset1">
+		<layer id="2806" name="Constant_128537" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -92647,7 +43831,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6068" name="Constant_433348" type="Const" version="opset1">
+		<layer id="2807" name="Constant_128539" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -92655,7 +43839,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6069" name="Constant_433350" type="Const" version="opset1">
+		<layer id="2808" name="Constant_128541" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -92663,7 +43847,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6070" name="Concat_433351" type="Concat" version="opset1">
+		<layer id="2809" name="Concat_128542" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -92685,7 +43869,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6071" name="Broadcast_433354" type="Broadcast" version="opset3">
+		<layer id="2810" name="Broadcast_128545" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -92702,8 +43886,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6072" name="ReadValue_417364" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.27.valuepresent.27.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2811" name="ReadValue_127481" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.23.keypresent.23.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92713,7 +43897,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.27.value">
+				<port id="1" precision="FP32" names="past_key_values.23.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92721,13 +43905,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6073" name="Constant_402055" type="Const" version="opset1">
+		<layer id="2812" name="Constant_126955" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6074" name="Gather_402056" type="Gather" version="opset8">
+		<layer id="2813" name="Gather_126956" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92750,89 +43934,78 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6075" name="Constant_304110" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2814" name="Constant_17026" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6076" name="Constant_304113" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2815" name="Constant_17029" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6077" name="Constant_304116" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2816" name="Constant_17024" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6078" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2817" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4356">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2958,k_rot.47">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6079" name="Constant_15937" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4357">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6080" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2818" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4358">
+				<port id="2" precision="FP32" names="2976">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92840,8 +44013,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6081" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="2819" name="Constant_17399" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2820" name="Constant_17401" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2821" name="Constant_17358" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2822" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92849,57 +44045,88 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2986,x2.95">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2823" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="2824" name="__module.model.gpt_neox.layers.23.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2825" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.27.value">
+				<port id="2" precision="FP32" names="2987">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6082" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="2826" name="Constant_17266" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="4435">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6083" name="Constant_304120" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2827" name="Constant_17307" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6084" name="Constant_304119" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2828" name="Constant_17264" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6085" name="ShapeOf_340376" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2829" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92907,56 +44134,105 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6086" name="Constant_340377" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="2981,x1.95">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6087" name="Constant_340378" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2830" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data batch_dims="0" />
+		<layer id="2831" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
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+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="6089" name="Add_340380" type="Add" version="opset1">
+		<layer id="2832" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_1" type="Add" version="opset1">
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="2" precision="FP32" names="2991,2995,k_embed.47,key_states.49">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="6090" name="ShapeOf_340447" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2833" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -92964,94 +44240,69 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="key.93">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2834" name="Constant_128532_compressed" type="Const" version="opset1">
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 		</layer>
-		<layer id="6092" name="Constant_340449" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="2835" name="Constant_128532" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
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-			<output>
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-		</layer>
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 			<input>
-				<port id="0" precision="I64" />
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+				<port id="0" precision="FP16" />
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 			<output>
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+				<port id="1" precision="FP32" />
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2836" name="Constant_128525" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2837" name="Constant_128527" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="2" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2838" name="Constant_128529" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
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 				</port>
 			</output>
 		</layer>
-		<layer id="6098" name="ScatterUpdate_304121" type="ScatterUpdate" version="opset3">
+		<layer id="2839" name="Concat_128530" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -93059,540 +44310,559 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6099" name="Constant_304122" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="2840" name="Broadcast_128533" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
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-		</layer>
-		<layer id="6100" name="Constant_337862" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="2841" name="ReadValue_127483" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.23.valuepresent.23.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.23.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6102" name="ScatterUpdate_304123" type="ScatterUpdate" version="opset3">
+		<layer id="2842" name="Constant_126958" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2843" name="Gather_126959" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
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-				<port id="2" precision="I64">
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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+				<port id="1" precision="I32">
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 				</port>
+				<port id="2" precision="I64" />
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 			<output>
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+				<port id="3" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2844" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+					<dim>80</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
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+				<port id="2" precision="FP32" names="value.93">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="2845" name="__module.model.gpt_neox.layers.23.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 			<output>
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-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3008,attn_output.139">
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-				<attribute name="precise" version="0" />
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 			<output>
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-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="2847" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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-				<attribute name="precise" version="0" />
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-					<dim>1</dim>
+				<port id="1" precision="I32">
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-				<attribute name="precise" version="0" />
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 			<output>
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 		</layer>
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-				<port id="3" precision="I32">
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 			<output>
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+		<layer id="2871" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
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@@ -93600,27 +44870,27 @@
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-		<layer id="6134" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2873" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -93631,37 +44901,31 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="4564046210" size="5120" />
+		<layer id="2874" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="4034678022" size="5120" />
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-					<dim>1</dim>
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 		</layer>
-		<layer id="6136" name="Constant_325466" type="Convert" version="opset1">
+		<layer id="2875" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 					<dim>2560</dim>
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 		</layer>
-		<layer id="6137" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2876" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -93670,20 +44934,18 @@
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 			<output>
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-		<layer id="6138" name="__module.model.gpt_neox.layers.27/aten::add/Add" type="Add" version="opset1">
+		<layer id="2877" name="__module.model.gpt_neox.layers.23/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -93698,14 +44960,14 @@
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 			<output>
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-		<layer id="6139" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2878" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
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@@ -93713,7 +44975,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6140" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2879" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
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@@ -93733,8 +44995,8 @@
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-		<layer id="6141" name="Constant_325467_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4564051330" size="5120" />
+		<layer id="2880" name="Constant_117238_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4034683142" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
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@@ -93743,7 +45005,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6142" name="Constant_325467" type="Convert" version="opset1">
+		<layer id="2881" name="Constant_117238" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -93763,7 +45025,7 @@
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 		</layer>
-		<layer id="6143" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2882" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93785,8 +45047,8 @@
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 			</output>
 		</layer>
-		<layer id="6144" name="Constant_325468_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4564056450" size="5120" />
+		<layer id="2883" name="Constant_117239_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4034688262" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -93795,7 +45057,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6145" name="Constant_325468" type="Convert" version="opset1">
+		<layer id="2884" name="Constant_117239" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -93815,7 +45077,7 @@
 				</port>
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 		</layer>
-		<layer id="6146" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2885" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
@@ -93830,41 +45092,41 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4464">
+				<port id="2" precision="FP32" names="3049,hidden_states.49">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="6147" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="4564061570" size="52428800" />
+		<layer id="2886" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="4034693382" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight">
-					<dim>10240</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.attention.query_key_value.weight">
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6148" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="2887" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
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+					<dim>7680</dim>
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 		</layer>
-		<layer id="6149" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2888" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
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@@ -93873,7 +45135,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
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+					<dim>7680</dim>
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@@ -93881,548 +45143,647 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-			<data element_type="f16" shape="1, 1, 10240" offset="4616490370" size="20480" />
+		<layer id="2889" name="self.model.gpt_neox.layers.24.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="4074014982" size="15360" />
 			<output>
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-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.attention.query_key_value.bias">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6151" name="Constant_325469" type="Convert" version="opset1">
+		<layer id="2890" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
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 			<input>
 				<port id="0" precision="FP16">
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-					<dim>1</dim>
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+					<dim>7680</dim>
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 			<output>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="6152" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2891" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="1" precision="FP32">
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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-			<data approximation_mode="ERF" />
+		<layer id="2892" name="Constant_125461" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2893" name="__module.model.gpt_neox.layers.24.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>7680</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4470">
+				<port id="2" precision="FP32" names="3058">
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
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 		</layer>
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-			<data element_type="f16" shape="2560, 10240" offset="4616510850" size="52428800" />
+		<layer id="2894" name="__module.model.gpt_neox.layers.24.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
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-					<dim>10240</dim>
+				<port id="0" precision="I32">
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="2895" name="__module.model.gpt_neox.layers.24.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>10240</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2560</dim>
-					<dim>10240</dim>
+				<port id="2" precision="FP32" names="3059,qkv.49">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2896" name="__module.model.gpt_neox.layers.24.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>240</dim>
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-				<port id="1" precision="FP32">
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-					<dim>10240</dim>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
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 			</input>
 			<output>
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+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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+				<port id="4" precision="FP32" names="3062,k.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="5" precision="FP32" names="3063,value_states.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-			<data element_type="f16" shape="1, 1, 2560" offset="4668939650" size="5120" />
+		<layer id="2897" name="Constant_17716" type="Const" version="opset1">
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 			<output>
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 					<dim>1</dim>
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-		<layer id="6158" name="Constant_325470" type="Convert" version="opset1">
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+		<layer id="2898" name="Constant_17719" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		</layer>
+		<layer id="2899" name="Constant_17714" type="Const" version="opset1">
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+		<layer id="2900" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+		<layer id="2927" name="Constant_17737" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="2928" name="Constant_17732" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+		<layer id="2929" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_4" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="3069,k_rot.49">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6181" name="Constant_16490" type="Const" version="opset1">
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-				<port id="0" precision="I64" names="4500">
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-			</output>
-		</layer>
-		<layer id="6182" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2930" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4501,query.169">
+				<port id="2" precision="FP32" names="3087">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94430,41 +45791,31 @@
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 			</output>
 		</layer>
-		<layer id="6183" name="Constant_304223" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2931" name="Constant_18107" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6184" name="Constant_304226" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2932" name="Constant_18109" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6185" name="Constant_304229" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2933" name="Constant_18066" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2934" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94473,183 +45824,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3097,x2.99">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="2935" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="6188" name="self.model.gpt_neox.layers.28.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="2936" name="__module.model.gpt_neox.layers.24.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
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+				<port id="0" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6189" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2937" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3098">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2938" name="Constant_17974" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2939" name="Constant_18015" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2940" name="Constant_17972" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2941" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 				</port>
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="3092,x1.99">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6194" name="ShapeOf_340457" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2942" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3100">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2943" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3101">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6196" name="Constant_340459" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2944" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="3102,3106,k_embed.49,key_states.51">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6197" name="Gather_340460" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2945" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4512">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="key.97">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6198" name="Constant_433366_compressed" type="Const" version="opset1">
+		<layer id="2946" name="Constant_128556_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6199" name="Constant_433366" type="Convert" version="opset1">
+		<layer id="2947" name="Constant_128556" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -94661,7 +46052,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6200" name="Constant_433359" type="Const" version="opset1">
+		<layer id="2948" name="Constant_128549" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -94669,7 +46060,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6201" name="Constant_433361" type="Const" version="opset1">
+		<layer id="2949" name="Constant_128551" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -94677,7 +46068,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6202" name="Constant_433363" type="Const" version="opset1">
+		<layer id="2950" name="Constant_128553" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -94685,7 +46076,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6203" name="Concat_433364" type="Concat" version="opset1">
+		<layer id="2951" name="Concat_128554" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -94707,7 +46098,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6204" name="Broadcast_433367" type="Broadcast" version="opset3">
+		<layer id="2952" name="Broadcast_128557" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -94724,8 +46115,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6205" name="ReadValue_417366" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.28.keypresent.28.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2953" name="ReadValue_127487" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.24.valuepresent.24.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94735,7 +46126,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.28.key">
+				<port id="1" precision="FP32" names="past_key_values.24.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94743,13 +46134,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6206" name="Constant_402058" type="Const" version="opset1">
+		<layer id="2954" name="Constant_126964" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="6207" name="Gather_402059" type="Gather" version="opset8">
+		<layer id="2955" name="Gather_126965" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94772,8 +46163,8 @@
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 			</output>
 		</layer>
-		<layer id="6208" name="ShapeOf_340462" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2956" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94781,387 +46172,670 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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+				<port id="2" precision="FP32" names="value.97">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2957" name="__module.model.gpt_neox.layers.24.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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+				<port id="0" precision="FP32">
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+				<port id="2" precision="FP32">
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2959" name="__module.model.gpt_neox.layers.24.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
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 		</layer>
-		<layer id="6210" name="Constant_340464" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
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 			<rt_info>
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 			</output>
 		</layer>
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 		</layer>
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@@ -95170,309 +46844,219 @@
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+		<layer id="3003" name="__module.model.gpt_neox.layers.25.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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+					<dim>-1</dim>
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+		<layer id="3004" name="Constant_125462" type="Const" version="opset1">
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+				<attribute name="precise" version="0" />
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 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3005" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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-					<dim>80</dim>
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+		<layer id="3006" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32">
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3007" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-					<dim>80</dim>
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3170,qkv.51">
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 					<dim>32</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3008" name="__module.model.gpt_neox.layers.25.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64" />
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+					<dim>3</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4547,4565,4575,query.171,query.173">
+				<port id="3" precision="FP32" names="3172,q.51">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="FP32" names="3173,k.51">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="4504,key.169">
+				<port id="5" precision="FP32" names="3174,value_states.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95480,41 +47064,31 @@
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 			</output>
 		</layer>
-		<layer id="6254" name="Constant_304349" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3009" name="Constant_18424" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6255" name="Constant_304352" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3010" name="Constant_18427" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6256" name="Constant_304355" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3011" name="Constant_18422" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6257" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3012" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95523,17 +47097,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4510,k.57">
+				<port id="5" precision="FP32" names="3178,q_rot.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95541,7 +47118,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6258" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3013" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95558,173 +47135,39 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4548">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="6259" name="Constant_304359" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-		<layer id="6260" name="Constant_304358" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
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-				<attribute name="precise" version="0" />
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="6261" name="__module.model.gpt_neox.layers.28.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="3182">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-				<port id="1" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="6262" name="__module.model.gpt_neox.layers.28.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I32" />
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-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4549,4554" />
-			</output>
-		</layer>
-		<layer id="6264" name="__module.model.gpt_neox.layers.28.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
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-		</layer>
-		<layer id="6265" name="__module.model.gpt_neox.layers.28.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4551,4552,4556,4557" />
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-		</layer>
-		<layer id="6266" name="Constant_337868" type="Const" version="opset1">
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-		</layer>
-		<layer id="6268" name="Constant_304357" type="Const" version="opset1">
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-				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="6269" name="ScatterUpdate_304360" type="ScatterUpdate" version="opset3">
-			<input>
+		<layer id="3014" name="Constant_18606" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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 				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3015" name="Constant_18608" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6271" name="Constant_304366" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3016" name="Constant_18565" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6272" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3017" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95733,17 +47176,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4558,x2.115">
+				<port id="5" precision="FP32" names="3192,x2.101">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95751,40 +47197,22 @@
 				</port>
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="3018" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
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-					<dim>1</dim>
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+				<port id="0" precision="I32" />
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 		</layer>
-		<layer id="6274" name="Constant_325475" type="Convert" version="opset1">
+		<layer id="3019" name="__module.model.gpt_neox.layers.25.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
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+				<port id="0" precision="I32" />
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+				<port id="1" precision="FP32" />
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 		</layer>
-		<layer id="6275" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3020" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95793,15 +47221,10 @@
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 					<dim>40</dim>
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 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95809,30 +47232,31 @@
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 			</output>
 		</layer>
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+		<layer id="3021" name="Constant_18473" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3022" name="Constant_18514" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="3023" name="Constant_18471" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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+				<port id="0" precision="I64">
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3024" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95841,17 +47265,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95859,7 +47286,7 @@
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 			</output>
 		</layer>
-		<layer id="6279" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3025" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95876,7 +47303,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4561">
+				<port id="2" precision="FP32" names="3195">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95884,7 +47311,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6280" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3026" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95901,7 +47328,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4562">
+				<port id="2" precision="FP32" names="3196">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95909,7 +47336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6281" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3027" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -95926,32 +47353,7 @@
 				</port>
 			</input>
 			<output>
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-		<layer id="6282" name="__module.model.gpt_neox.layers.28.attention/aten::to/Convert_1" type="Concat" version="opset1">
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-			<input>
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-			<output>
-				<port id="2" precision="FP32" names="present.28.key">
+				<port id="2" precision="FP32" names="3197,3215,q_embed.51,query.101">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95959,13 +47361,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6283" name="Constant_433379_compressed" type="Const" version="opset1">
+		<layer id="3028" name="Constant_128592_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6284" name="Constant_433379" type="Convert" version="opset1">
+		<layer id="3029" name="Constant_128592" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -95977,7 +47379,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6285" name="Constant_433372" type="Const" version="opset1">
+		<layer id="3030" name="Constant_128585" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -95985,7 +47387,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6286" name="Constant_433374" type="Const" version="opset1">
+		<layer id="3031" name="Constant_128587" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -95993,7 +47395,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6287" name="Constant_433376" type="Const" version="opset1">
+		<layer id="3032" name="Constant_128589" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -96001,7 +47403,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6288" name="Concat_433377" type="Concat" version="opset1">
+		<layer id="3033" name="Concat_128590" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -96023,7 +47425,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6289" name="Broadcast_433380" type="Broadcast" version="opset3">
+		<layer id="3034" name="Broadcast_128593" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -96040,8 +47442,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6290" name="ReadValue_417368" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.28.valuepresent.28.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3035" name="ReadValue_127489" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.25.keypresent.25.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -96051,7 +47453,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.28.value">
+				<port id="1" precision="FP32" names="past_key_values.25.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -96059,13 +47461,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6291" name="Constant_402061" type="Const" version="opset1">
+		<layer id="3036" name="Constant_126967" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6292" name="Gather_402062" type="Gather" version="opset8">
+		<layer id="3037" name="Gather_126968" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96088,89 +47490,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6293" name="Constant_304461" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3038" name="Constant_18442" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6294" name="Constant_304464" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3039" name="Constant_18445" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6295" name="Constant_304467" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3040" name="Constant_18440" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6296" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3041" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="6297" name="Constant_16518" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4506">
-					<dim>4</dim>
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-		</layer>
-		<layer id="6298" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4507">
+				<port id="5" precision="FP32" names="3180,k_rot.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -96178,8 +47544,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6299" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="3042" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -96189,13 +47555,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.28.value">
+				<port id="2" precision="FP32" names="3198">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -96203,98 +47569,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6300" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-					<dim>1</dim>
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-					<dim>2048</dim>
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-		<layer id="6301" name="Constant_304471" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3043" name="Constant_18815" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6302" name="Constant_304470" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3044" name="Constant_18817" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="6304" name="Constant_340468" type="Const" version="opset1">
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-		<layer id="6305" name="Constant_340469" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3045" name="Constant_18774" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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@@ -96558,212 +47696,165 @@
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-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4572">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6339" name="Constant_268241" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3060" name="Constant_128573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6340" name="Constant_268243" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3061" name="Constant_128575" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6341" name="Constant_268245" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3062" name="Constant_128577" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6342" name="__module.model.gpt_neox.layers.28.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3063" name="Concat_128578" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -96780,50 +47871,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4589">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6343" name="Maximum_317006" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3064" name="Broadcast_128581" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6344" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3065" name="ReadValue_127491" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.25.valuepresent.25.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.25.value">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="3066" name="Constant_126970" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3067" name="Gather_126971" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4591">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3068" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="value.101">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6345" name="__module.model.gpt_neox.layers.28.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3069" name="__module.model.gpt_neox.layers.25.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -96850,9 +47993,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4592,4593,sdpa_result.57,tensor.113">
+				<port id="5" precision="FP32" names="3230,attn_output.151">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -96860,15 +48004,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6346" name="Constant_16959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3070" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4594">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6347" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3071" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -96876,12 +48020,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4595">
+				<port id="2" precision="FP32" names="3231">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -96889,19 +48033,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6348" name="__module.model.gpt_neox.layers.28.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6349" name="__module.model.gpt_neox.layers.28.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3072" name="__module.model.gpt_neox.layers.25.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -96914,23 +48047,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4600">
+				<port id="2" precision="FP32" names="3234">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6350" name="self.model.gpt_neox.layers.28.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="4708291970" size="13107200" />
+		<layer id="3073" name="self.model.gpt_neox.layers.25.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="4231383302" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6351" name="self.model.gpt_neox.layers.28.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="3074" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -96948,13 +48081,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6352" name="__module.model.gpt_neox.layers.28.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3075" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -96969,37 +48102,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6353" name="Constant_325476_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4721399170" size="5120" />
+		<layer id="3076" name="self.model.gpt_neox.layers.25.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="4244490502" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6354" name="Constant_325476" type="Convert" version="opset1">
+		<layer id="3077" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6355" name="__module.model.gpt_neox.layers.28.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3078" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97008,20 +48135,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4603,4605,input.115">
+				<port id="2" precision="FP32" names="3238,3240,input.253">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6356" name="__module.model.gpt_neox.layers.28/aten::add/Add" type="Add" version="opset1">
+		<layer id="3079" name="__module.model.gpt_neox.layers.25/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97036,14 +48161,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4609,attn_output.115">
+				<port id="2" precision="FP32" names="3244,input.255">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6357" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3080" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -97051,7 +48176,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6358" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3081" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97071,8 +48196,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6359" name="Constant_325477_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4721404290" size="5120" />
+		<layer id="3082" name="Constant_117244_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4244495622" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -97081,7 +48206,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6360" name="Constant_325477" type="Convert" version="opset1">
+		<layer id="3083" name="Constant_117244" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -97101,7 +48226,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6361" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3084" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97123,8 +48248,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6362" name="Constant_325478_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4721409410" size="5120" />
+		<layer id="3085" name="Constant_117245_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4244500742" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -97133,7 +48258,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6363" name="Constant_325478" type="Convert" version="opset1">
+		<layer id="3086" name="Constant_117245" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -97153,7 +48278,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6364" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3087" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97168,23 +48293,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4613">
+				<port id="2" precision="FP32" names="3248">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6365" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="4721414530" size="52428800" />
+		<layer id="3088" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="4244505862" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6366" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="3089" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -97202,7 +48327,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6367" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3090" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97223,37 +48348,31 @@
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-			<data element_type="f16" shape="1, 1, 10240" offset="4773843330" size="20480" />
+		<layer id="3091" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="4296934662" size="20480" />
 			<output>
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-					<dim>1</dim>
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 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6369" name="Constant_325479" type="Convert" version="opset1">
+		<layer id="3092" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 		</layer>
-		<layer id="6370" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3093" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -97262,20 +48381,18 @@
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 			<output>
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-		<layer id="6371" name="__module.model.gpt_neox.layers.28.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3094" name="__module.model.gpt_neox.layers.25.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
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@@ -97285,23 +48402,23 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="6372" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="4773863810" size="52428800" />
+		<layer id="3095" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="4296955142" size="52428800" />
 			<output>
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 		</layer>
-		<layer id="6373" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="3096" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -97319,448 +48436,910 @@
 				</port>
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="3097" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>10240</dim>
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+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>10240</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
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+			</output>
+		</layer>
+		<layer id="3098" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="4349383942" size="5120" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3099" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="3100" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="3101" name="__module.model.gpt_neox.layers.25/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+		</layer>
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+			<data element_type="i32" shape="1" offset="258211870" size="4" />
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+				<port id="0" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="3103" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+		<layer id="3104" name="Constant_117246_compressed" type="Const" version="opset1">
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+			</output>
+		</layer>
+		<layer id="3105" name="Constant_117246" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			</output>
+		</layer>
+		<layer id="3106" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>2560</dim>
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+			</output>
+		</layer>
+		<layer id="3107" name="Constant_117247_compressed" type="Const" version="opset1">
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+					<dim>1</dim>
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+		</layer>
+		<layer id="3108" name="Constant_117247" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+		<layer id="3111" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+		<layer id="3112" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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+		<layer id="3114" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<port id="1" precision="FP32">
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+		<layer id="3120" name="__module.model.gpt_neox.layers.26.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 				<port id="0" precision="FP32">
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+					<dim>1</dim>
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 					<dim>32</dim>
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 					<dim>80</dim>
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 		</layer>
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-		<layer id="6400" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3154" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 				</port>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -97768,41 +49347,31 @@
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3155" name="Constant_19523" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3156" name="Constant_19525" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
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 				<port id="0" precision="I64">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3157" name="Constant_19482" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3158" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -97811,183 +49380,223 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
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 		</layer>
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-					<dim>80</dim>
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+				<port id="0" precision="I32" />
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 		</layer>
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+		<layer id="3161" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 			<output>
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
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 		</layer>
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>32</dim>
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 					<dim>80</dim>
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 			<output>
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+		<layer id="3169" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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 			<output>
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+					<dim>32</dim>
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+					<dim>80</dim>
 				</port>
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 		</layer>
-		<layer id="6416" name="Constant_433392_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16" />
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-		<layer id="6417" name="Constant_433392" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -97999,7 +49608,7 @@
 				<port id="1" precision="FP32" />
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 		</layer>
-		<layer id="6418" name="Constant_433385" type="Const" version="opset1">
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 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -98007,7 +49616,7 @@
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 			</output>
 		</layer>
-		<layer id="6419" name="Constant_433387" type="Const" version="opset1">
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 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -98015,7 +49624,7 @@
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 			</output>
 		</layer>
-		<layer id="6420" name="Constant_433389" type="Const" version="opset1">
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 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -98023,7 +49632,7 @@
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 			</output>
 		</layer>
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 				<port id="0" precision="I64">
@@ -98045,7 +49654,7 @@
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 			</output>
 		</layer>
-		<layer id="6422" name="Broadcast_433393" type="Broadcast" version="opset3">
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@@ -98062,8 +49671,8 @@
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 		</layer>
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+		<layer id="3177" name="ReadValue_127495" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.26.valuepresent.26.value" variable_type="f32" variable_shape="?,32,?,80" />
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 				<port id="0" precision="FP32">
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@@ -98073,7 +49682,7 @@
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="past_key_values.26.value">
 					<dim>-1</dim>
 					<dim>32</dim>
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@@ -98081,13 +49690,13 @@
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 			</output>
 		</layer>
-		<layer id="6424" name="Constant_402064" type="Const" version="opset1">
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 		</layer>
-		<layer id="6425" name="Gather_402065" type="Gather" version="opset8">
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@@ -98110,8 +49719,8 @@
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 			</output>
 		</layer>
-		<layer id="6426" name="ShapeOf_340553" type="ShapeOf" version="opset3">
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+		<layer id="3180" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_5" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98119,387 +49728,670 @@
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 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="value.105">
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+					<dim>32</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3181" name="__module.model.gpt_neox.layers.26.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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 		</layer>
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 			<output>
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 			</output>
 		</layer>
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 		</layer>
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 					<dim>32</dim>
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+		<layer id="3232" name="__module.model.gpt_neox.layers.27.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 					<dim>32</dim>
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 					<dim>32</dim>
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@@ -98818,41 +50620,31 @@
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 				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
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+		<layer id="3234" name="Constant_19843" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3235" name="Constant_19838" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3236" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98861,17 +50653,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3400,q_rot.55">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98879,7 +50674,7 @@
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 		</layer>
-		<layer id="6476" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3237" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98896,7 +50691,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4697">
+				<port id="2" precision="FP32" names="3404">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98904,165 +50699,31 @@
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3238" name="Constant_20022" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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 				<port id="0" precision="I64">
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 				<port id="0" precision="I64">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3241" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99071,17 +50732,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4707,x2.119">
+				<port id="5" precision="FP32" names="3414,x2.109">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99089,40 +50753,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6491" name="Constant_325485_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="3242" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="6492" name="Constant_325485" type="Convert" version="opset1">
+		<layer id="3243" name="__module.model.gpt_neox.layers.27.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="0" precision="I32" />
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 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6493" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3244" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99131,15 +50777,10 @@
 					<dim>-1</dim>
 					<dim>40</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4708">
+				<port id="2" precision="FP32" names="3415">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99147,30 +50788,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6494" name="Constant_304762" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3245" name="Constant_19889" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6495" name="Constant_304767" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3246" name="Constant_19930" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3247" name="Constant_19887" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6496" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3248" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99179,17 +50821,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4702">
+				<port id="5" precision="FP32" names="3409,x1.109">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99197,7 +50842,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6497" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3249" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99214,7 +50859,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4710">
+				<port id="2" precision="FP32" names="3417">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99222,7 +50867,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6498" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3250" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99239,7 +50884,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4711">
+				<port id="2" precision="FP32" names="3418">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99247,7 +50892,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6499" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3251" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99264,32 +50909,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4712,4716">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6500" name="__module.model.gpt_neox.layers.29.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.29.key">
+				<port id="2" precision="FP32" names="3419,3437,q_embed.55,query.109">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99297,13 +50917,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6501" name="Constant_433405_compressed" type="Const" version="opset1">
+		<layer id="3252" name="Constant_128640_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6502" name="Constant_433405" type="Convert" version="opset1">
+		<layer id="3253" name="Constant_128640" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -99315,7 +50935,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6503" name="Constant_433398" type="Const" version="opset1">
+		<layer id="3254" name="Constant_128633" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -99323,7 +50943,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6504" name="Constant_433400" type="Const" version="opset1">
+		<layer id="3255" name="Constant_128635" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -99331,7 +50951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6505" name="Constant_433402" type="Const" version="opset1">
+		<layer id="3256" name="Constant_128637" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -99339,7 +50959,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6506" name="Concat_433403" type="Concat" version="opset1">
+		<layer id="3257" name="Concat_128638" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -99361,7 +50981,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6507" name="Broadcast_433406" type="Broadcast" version="opset3">
+		<layer id="3258" name="Broadcast_128641" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -99378,8 +50998,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6508" name="ReadValue_417372" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.29.valuepresent.29.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3259" name="ReadValue_127497" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.27.keypresent.27.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99389,7 +51009,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.29.value">
+				<port id="1" precision="FP32" names="past_key_values.27.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99397,13 +51017,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6509" name="Constant_402067" type="Const" version="opset1">
+		<layer id="3260" name="Constant_126979" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6510" name="Gather_402068" type="Gather" version="opset8">
+		<layer id="3261" name="Gather_126980" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99426,89 +51046,78 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6511" name="Constant_304812" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3262" name="Constant_19858" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6512" name="Constant_304815" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3263" name="Constant_19861" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6513" name="Constant_304818" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3264" name="Constant_19856" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6514" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3265" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4654">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="3402,k_rot.55">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6515" name="Constant_17099" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4655">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6516" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3266" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4656">
+				<port id="2" precision="FP32" names="3420">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99516,8 +51125,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6517" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="3267" name="Constant_20231" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3268" name="Constant_20233" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3269" name="Constant_20190" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3270" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99525,57 +51157,88 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3430,x2.111">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3271" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="3272" name="__module.model.gpt_neox.layers.27.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
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+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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 		</layer>
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+		<layer id="3274" name="Constant_20098" type="Const" version="opset1">
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+		<layer id="3275" name="Constant_20139" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3276" name="Constant_20096" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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-			<data output_type="i64" />
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@@ -99583,56 +51246,105 @@
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 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
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+				</port>
+			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3425,x1.111">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3278" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="3433">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6524" name="Gather_340561" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3279" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3434">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6525" name="Add_340562" type="Add" version="opset1">
+		<layer id="3280" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3435,3439,k_embed.55,key_states.57">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6526" name="ShapeOf_340629" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3281" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99640,94 +51352,69 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="key.109">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6527" name="Constant_340630" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3282" name="Constant_128628_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6528" name="Constant_340631" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="3283" name="Constant_128628" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
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 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="4730,4731" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3284" name="Constant_128621" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3285" name="Constant_128623" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
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+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3286" name="Constant_128625" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6534" name="ScatterUpdate_304823" type="ScatterUpdate" version="opset3">
+		<layer id="3287" name="Concat_128626" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -99735,540 +51422,559 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+		<layer id="3288" name="Broadcast_128629" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
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-		<layer id="6536" name="Constant_337882" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="3289" name="ReadValue_127499" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.27.valuepresent.27.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.27.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6538" name="ScatterUpdate_304825" type="ScatterUpdate" version="opset3">
+		<layer id="3290" name="Constant_126982" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3291" name="Gather_126983" type="Gather" version="opset8">
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 			<input>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-					<dim>3</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
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+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			<output>
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-					<dim>3</dim>
+				<port id="2" precision="FP32" names="value.109">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="3293" name="__module.model.gpt_neox.layers.27.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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+					<dim>10240</dim>
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+					<dim>10240</dim>
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 		</layer>
-		<layer id="6564" name="Constant_17540" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3316" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 		</layer>
-		<layer id="6565" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3317" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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-			<data special_zero="true" />
+		<layer id="3318" name="__module.model.gpt_neox.layers.27.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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-			<data element_type="f16" shape="2560, 2560" offset="4865644930" size="13107200" />
+		<layer id="3319" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
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 			</output>
 		</layer>
-		<layer id="6569" name="self.model.gpt_neox.layers.29.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="3320" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -100276,27 +51982,27 @@
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-		<layer id="6570" name="__module.model.gpt_neox.layers.29.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3321" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -100307,37 +52013,31 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="4878752130" size="5120" />
+		<layer id="3322" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="4664089862" size="5120" />
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-					<dim>1</dim>
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 		</layer>
-		<layer id="6572" name="Constant_325486" type="Convert" version="opset1">
+		<layer id="3323" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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 		</layer>
-		<layer id="6573" name="__module.model.gpt_neox.layers.29.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3324" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -100346,20 +52046,18 @@
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 				</port>
 				<port id="1" precision="FP32">
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 			</input>
 			<output>
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 		</layer>
-		<layer id="6574" name="__module.model.gpt_neox.layers.29/aten::add/Add" type="Add" version="opset1">
+		<layer id="3325" name="__module.model.gpt_neox.layers.27/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -100374,14 +52072,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4758,attn_output.119">
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 					<dim>-1</dim>
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 		</layer>
-		<layer id="6575" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3326" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
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@@ -100389,7 +52087,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6576" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3327" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100409,8 +52107,8 @@
 				</port>
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 		</layer>
-		<layer id="6577" name="Constant_325487_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4878757250" size="5120" />
+		<layer id="3328" name="Constant_117254_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4664094982" size="5120" />
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 				<port id="0" precision="FP16">
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@@ -100419,7 +52117,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6578" name="Constant_325487" type="Convert" version="opset1">
+		<layer id="3329" name="Constant_117254" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100439,7 +52137,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6579" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3330" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100461,8 +52159,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6580" name="Constant_325488_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4878762370" size="5120" />
+		<layer id="3331" name="Constant_117255_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4664100102" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -100471,7 +52169,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6581" name="Constant_325488" type="Convert" version="opset1">
+		<layer id="3332" name="Constant_117255" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100491,7 +52189,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6582" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3333" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100506,599 +52204,698 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4762">
+				<port id="2" precision="FP32" names="3493,hidden_states.57">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6583" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="4878767490" size="52428800" />
+		<layer id="3334" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="4664105222" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight">
-					<dim>10240</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.attention.query_key_value.weight">
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6584" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="3335" name="__module.model.gpt_neox.layers.28.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3336" name="__module.model.gpt_neox.layers.28.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3337" name="self.model.gpt_neox.layers.28.attention.query_key_value.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="7680" offset="4703426822" size="15360" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.attention.query_key_value.bias">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3338" name="__module.model.gpt_neox.layers.28.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3339" name="__module.model.gpt_neox.layers.28.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
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+			<output>
+				<port id="2" precision="FP32" names="3500">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3340" name="Constant_125465" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3341" name="__module.model.gpt_neox.layers.28.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+				<port id="2" precision="FP32" names="3502">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+			</output>
+		</layer>
+		<layer id="3342" name="__module.model.gpt_neox.layers.28.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
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+				<port id="0" precision="I32">
+					<dim>4</dim>
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+			</output>
+		</layer>
+		<layer id="3343" name="__module.model.gpt_neox.layers.28.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I32">
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+			<output>
+				<port id="2" precision="FP32" names="3503,qkv.57">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3344" name="__module.model.gpt_neox.layers.28.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>3</dim>
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@@ -101106,41 +52903,31 @@
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@@ -101149,183 +52936,223 @@
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+				<port id="4" precision="I64">
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 					<dim>32</dim>
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-					<dim>80</dim>
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+				<port id="0" precision="I32" />
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 		</layer>
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+		<layer id="3384" name="__module.model.gpt_neox.layers.28.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
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+		<layer id="3385" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
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@@ -101337,7 +53164,7 @@
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@@ -101345,7 +53172,7 @@
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@@ -101353,7 +53180,7 @@
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@@ -101361,7 +53188,7 @@
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-		<layer id="6639" name="Concat_433416" type="Concat" version="opset1">
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@@ -101383,7 +53210,7 @@
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 		</layer>
-		<layer id="6640" name="Broadcast_433419" type="Broadcast" version="opset3">
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+		<layer id="3401" name="ReadValue_127503" type="ReadValue" version="opset6">
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 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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@@ -101419,13 +53246,13 @@
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 			</output>
 		</layer>
-		<layer id="6642" name="Constant_402070" type="Const" version="opset1">
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 		</layer>
-		<layer id="6643" name="Gather_402071" type="Gather" version="opset8">
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 			<data batch_dims="0" />
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 				<port id="0" precision="FP32">
@@ -101448,8 +53275,8 @@
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 			</output>
 		</layer>
-		<layer id="6644" name="ShapeOf_340644" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3404" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101457,387 +53284,670 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="value.113">
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+					<dim>32</dim>
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 				</port>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3405" name="__module.model.gpt_neox.layers.28.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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+				<port id="4" precision="FP32" />
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 			<output>
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+				<port id="5" precision="FP32" names="3563,attn_output.169">
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-				<attribute name="precise" version="0" />
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
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 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
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 			<output>
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-				<attribute name="precise" version="0" />
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 			<output>
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 			<output>
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+		<layer id="3443" name="Constant_117259_compressed" type="Const" version="opset1">
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 		</layer>
-		<layer id="6672" name="Constant_325494" type="Convert" version="opset1">
+		<layer id="3444" name="Constant_117259" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -101846,309 +53956,219 @@
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 					<dim>1</dim>
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 		</layer>
-		<layer id="6673" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="3445" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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-		<layer id="6675" name="Constant_305005" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
+		<layer id="3447" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/Convert" type="Convert" version="opset1">
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 			<rt_info>
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-		<layer id="6677" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="3448" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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-					<dim>80</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.attention.query_key_value.bias">
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3450" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/Convert_1" type="Convert" version="opset1">
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3451" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="3452" name="Constant_125466" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
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+		<layer id="3453" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape" type="Reshape" version="opset1">
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-					<dim>80</dim>
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-			<data auto_broadcast="numpy" />
+		<layer id="3455" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
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+		<layer id="3456" name="__module.model.gpt_neox.layers.29.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 					<dim>32</dim>
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 			</input>
 			<output>
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 					<dim>32</dim>
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 					<dim>80</dim>
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-				<port id="0" precision="FP32">
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+				<port id="4" precision="FP32" names="3617,k.59">
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 					<dim>32</dim>
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 					<dim>80</dim>
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-			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102156,41 +54176,31 @@
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 				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
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 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3459" name="Constant_21254" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3460" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -102199,17 +54209,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102217,7 +54230,7 @@
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 			</output>
 		</layer>
-		<layer id="6694" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3461" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -102234,7 +54247,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4846">
+				<port id="2" precision="FP32" names="3626">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102242,165 +54255,31 @@
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 			</output>
 		</layer>
-		<layer id="6695" name="Constant_305061" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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+		<layer id="3463" name="Constant_21440" type="Const" version="opset1">
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-			<rt_info>
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 			<input>
 				<port id="0" precision="FP32">
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@@ -102409,17 +54288,20 @@
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 					<dim>32</dim>
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@@ -102427,40 +54309,22 @@
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+		<layer id="3466" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
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-					<dim>1</dim>
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+				<port id="0" precision="I32" />
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 		</layer>
-		<layer id="6710" name="Constant_325495" type="Convert" version="opset1">
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+				<port id="1" precision="FP32" />
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 		</layer>
-		<layer id="6711" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3468" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -102469,46 +54333,42 @@
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 					<dim>40</dim>
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-					<dim>1</dim>
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+				<port id="1" precision="FP32" />
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-					<dim>-1</dim>
-					<dim>40</dim>
+				<port id="2" precision="FP32" names="3637">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
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+		<layer id="3469" name="Constant_21305" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3470" name="Constant_21346" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3471" name="Constant_21303" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3472" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -102517,17 +54377,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3631,x1.117">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102535,7 +54398,7 @@
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 			</output>
 		</layer>
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+		<layer id="3473" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -102552,7 +54415,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4859">
+				<port id="2" precision="FP32" names="3639">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102560,7 +54423,7 @@
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 			</output>
 		</layer>
-		<layer id="6716" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3474" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -102577,7 +54440,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4860">
+				<port id="2" precision="FP32" names="3640">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102585,7 +54448,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6717" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3475" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -102602,32 +54465,7 @@
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-		<layer id="6718" name="__module.model.gpt_neox.layers.30.attention/aten::to/Convert_1" type="Concat" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.30.key">
+				<port id="2" precision="FP32" names="3641,3659,q_embed.59,query.117">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102635,13 +54473,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6719" name="Constant_433431_compressed" type="Const" version="opset1">
+		<layer id="3476" name="Constant_128688_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6720" name="Constant_433431" type="Convert" version="opset1">
+		<layer id="3477" name="Constant_128688" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -102653,7 +54491,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6721" name="Constant_433424" type="Const" version="opset1">
+		<layer id="3478" name="Constant_128681" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -102661,7 +54499,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6722" name="Constant_433426" type="Const" version="opset1">
+		<layer id="3479" name="Constant_128683" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -102669,7 +54507,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6723" name="Constant_433428" type="Const" version="opset1">
+		<layer id="3480" name="Constant_128685" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -102677,7 +54515,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6724" name="Concat_433429" type="Concat" version="opset1">
+		<layer id="3481" name="Concat_128686" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -102699,7 +54537,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6725" name="Broadcast_433432" type="Broadcast" version="opset3">
+		<layer id="3482" name="Broadcast_128689" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -102716,8 +54554,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6726" name="ReadValue_417380" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.30.valuepresent.30.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3483" name="ReadValue_127505" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.29.keypresent.29.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -102727,7 +54565,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.30.value">
+				<port id="1" precision="FP32" names="past_key_values.29.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102735,13 +54573,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6727" name="Constant_402073" type="Const" version="opset1">
+		<layer id="3484" name="Constant_126991" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6728" name="Gather_402074" type="Gather" version="opset8">
+		<layer id="3485" name="Gather_126992" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -102764,89 +54602,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6729" name="Constant_305163" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3486" name="Constant_21274" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6730" name="Constant_305166" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3487" name="Constant_21277" type="Const" version="opset1">
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+				<port id="4" precision="I64">
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+				<port id="5" precision="FP32" names="3624,k_rot.59">
 					<dim>-1</dim>
 					<dim>32</dim>
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@@ -102854,8 +54656,8 @@
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 		</layer>
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+		<layer id="3490" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
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@@ -102865,13 +54667,13 @@
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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 			</input>
 			<output>
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 					<dim>32</dim>
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@@ -102879,98 +54681,31 @@
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+		<layer id="3491" name="Constant_21647" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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+		<layer id="3492" name="Constant_21649" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3493" name="Constant_21606" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6744" name="ShapeOf_340720" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3494" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -102978,255 +54713,94 @@
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 					<dim>80</dim>
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+		<layer id="3497" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
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 				<port id="0" precision="I64">
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 				<port id="0" precision="I64">
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+			<data element_type="i64" shape="1" offset="297559238" size="8" />
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-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
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+		<layer id="3501" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -103234,212 +54808,165 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				<port id="4" precision="I64">
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+					<dim>1</dim>
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-				<attribute name="precise" version="0" />
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 			<output>
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+				<port id="5" precision="FP32" names="3647,x1.119">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3502" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4884,4885">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3655">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6766" name="__module.model.gpt_neox.layers.30.attention/aten::where/Convert_1_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16" />
-			</output>
-		</layer>
-		<layer id="6767" name="__module.model.gpt_neox.layers.30.attention/aten::where/Convert_1" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16" />
-			</input>
-			<output>
-				<port id="1" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="6768" name="__module.model.gpt_neox.layers.30.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="302409036" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="4872" />
-			</output>
-		</layer>
-		<layer id="6769" name="__module.model.gpt_neox.layers.30.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="3503" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4886,causal_mask.121">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3656">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6770" name="Add_317148" type="Add" version="opset1">
+		<layer id="3504" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3657,3661,k_embed.59,key_states.61">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6771" name="ShapeOf_317149" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3505" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="key.117">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6772" name="Constant_340726" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3506" name="Constant_128676_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6773" name="Constant_340727" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="3507" name="Constant_128676" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6774" name="Gather_340728" type="Gather" version="opset8">
-			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4870">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6775" name="Constant_268261" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3508" name="Constant_128669" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6776" name="Constant_268263" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3509" name="Constant_128671" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6777" name="Constant_268265" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3510" name="Constant_128673" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6778" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3511" name="Concat_128674" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -103456,50 +54983,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4887">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6779" name="Maximum_317150" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3512" name="Broadcast_128677" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6780" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3513" name="ReadValue_127507" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.29.valuepresent.29.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.29.value">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="3514" name="Constant_126994" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3515" name="Gather_126995" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4889">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3516" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="value.117">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6781" name="__module.model.gpt_neox.layers.30.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3517" name="__module.model.gpt_neox.layers.29.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -103526,9 +55105,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4890,4891,sdpa_result.61,tensor.121">
+				<port id="5" precision="FP32" names="3674,attn_output.175">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -103536,15 +55116,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6782" name="Constant_18121" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3518" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4892">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6783" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3519" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -103552,12 +55132,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4893">
+				<port id="2" precision="FP32" names="3675">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -103565,19 +55145,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6784" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6785" name="__module.model.gpt_neox.layers.30.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3520" name="__module.model.gpt_neox.layers.29.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -103590,23 +55159,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4898">
+				<port id="2" precision="FP32" names="3678">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6786" name="self.model.gpt_neox.layers.30.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="5022997890" size="13107200" />
+		<layer id="3521" name="self.model.gpt_neox.layers.29.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="4860795142" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6787" name="self.model.gpt_neox.layers.30.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="3522" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -103624,13 +55193,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6788" name="__module.model.gpt_neox.layers.30.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3523" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -103645,37 +55214,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6789" name="Constant_325496_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5036105090" size="5120" />
+		<layer id="3524" name="self.model.gpt_neox.layers.29.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="4873902342" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6790" name="Constant_325496" type="Convert" version="opset1">
+		<layer id="3525" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3526" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
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@@ -103684,20 +55247,18 @@
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@@ -103712,14 +55273,14 @@
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-		<layer id="6793" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3528" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -103727,7 +55288,7 @@
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+		<layer id="3529" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -103747,8 +55308,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="5036110210" size="5120" />
+		<layer id="3530" name="Constant_117260_compressed" type="Const" version="opset1">
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@@ -103757,7 +55318,7 @@
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 			</output>
 		</layer>
-		<layer id="6796" name="Constant_325497" type="Convert" version="opset1">
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@@ -103777,7 +55338,7 @@
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-		<layer id="6797" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3532" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -103799,8 +55360,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="5036115330" size="5120" />
+		<layer id="3533" name="Constant_117261_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4873912582" size="5120" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -103809,7 +55370,7 @@
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 			</output>
 		</layer>
-		<layer id="6799" name="Constant_325498" type="Convert" version="opset1">
+		<layer id="3534" name="Constant_117261" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -103829,7 +55390,7 @@
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-		<layer id="6800" name="__module.model.gpt_neox.layers.30.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3535" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -103844,23 +55405,23 @@
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-			<data element_type="f16" shape="10240, 2560" offset="5036120450" size="52428800" />
+		<layer id="3536" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="4873917702" size="52428800" />
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-		<layer id="6802" name="self.model.gpt_neox.layers.30.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="3537" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -103878,7 +55439,7 @@
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-		<layer id="6803" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3538" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -103899,37 +55460,31 @@
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-			<data element_type="f16" shape="1, 1, 10240" offset="5088549250" size="20480" />
+		<layer id="3539" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="4926346502" size="20480" />
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-		<layer id="6805" name="Constant_325499" type="Convert" version="opset1">
+		<layer id="3540" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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 		</layer>
-		<layer id="6806" name="__module.model.gpt_neox.layers.30.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3541" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -103938,20 +55493,18 @@
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 			<output>
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 		</layer>
-		<layer id="6807" name="__module.model.gpt_neox.layers.30.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3542" name="__module.model.gpt_neox.layers.29.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
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@@ -103961,23 +55514,23 @@
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 			</input>
 			<output>
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-			<data element_type="f16" shape="2560, 10240" offset="5088569730" size="52428800" />
+		<layer id="3543" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="4926366982" size="52428800" />
 			<output>
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 		</layer>
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+		<layer id="3544" name="__module.model.gpt_neox.layers.29.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -103995,7 +55548,7 @@
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-		<layer id="6810" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
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@@ -104016,37 +55569,31 @@
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-		<layer id="6811" name="Constant_325500_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5140998530" size="5120" />
+		<layer id="3546" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="4978795782" size="5120" />
 			<output>
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 		</layer>
-		<layer id="6812" name="Constant_325500" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
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 		</layer>
-		<layer id="6813" name="__module.model.gpt_neox.layers.30.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3548" name="__module.model.gpt_neox.layers.29.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -104055,20 +55602,18 @@
 					<dim>2560</dim>
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 				<port id="1" precision="FP32">
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 			<output>
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-		<layer id="6814" name="__module.model.gpt_neox.layers.30/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3549" name="__module.model.gpt_neox.layers.29/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -104083,14 +55628,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4922,4924,hidden_states">
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 					<dim>-1</dim>
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-		<layer id="6815" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
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 			<data element_type="i32" shape="1" offset="258211870" size="4" />
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 				<port id="0" precision="I32">
@@ -104098,7 +55643,7 @@
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 			</output>
 		</layer>
-		<layer id="6816" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3551" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -104118,8 +55663,8 @@
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-		<layer id="6817" name="Constant_325501_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5141003650" size="5120" />
+		<layer id="3552" name="Constant_117262_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4978800902" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -104128,7 +55673,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6818" name="Constant_325501" type="Convert" version="opset1">
+		<layer id="3553" name="Constant_117262" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -104148,7 +55693,7 @@
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 		</layer>
-		<layer id="6819" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3554" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -104156,287 +55701,524 @@
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 					<dim>2560</dim>
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>2560</dim>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3555" name="Constant_117263_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4978806022" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3556" name="Constant_117263" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3557" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3715,hidden_states.61">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3558" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight" type="Const" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="4953">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3750">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6836" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3586" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4954">
+				<port id="2" precision="FP32" names="3751">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -104444,8 +56226,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6837" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="3587" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -104461,7 +56243,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.31.value">
+				<port id="2" precision="FP32" names="3752,3770,q_embed.61,query.121">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -104469,13 +56251,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6839" name="Constant_433444_compressed" type="Const" version="opset1">
+		<layer id="3588" name="Constant_128712_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6840" name="Constant_433444" type="Convert" version="opset1">
+		<layer id="3589" name="Constant_128712" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -104487,7 +56269,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6841" name="Constant_433437" type="Const" version="opset1">
+		<layer id="3590" name="Constant_128705" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -104495,7 +56277,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6842" name="Constant_433439" type="Const" version="opset1">
+		<layer id="3591" name="Constant_128707" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -104503,7 +56285,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6843" name="Constant_433441" type="Const" version="opset1">
+		<layer id="3592" name="Constant_128709" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -104511,7 +56293,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6844" name="Concat_433442" type="Concat" version="opset1">
+		<layer id="3593" name="Concat_128710" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -104533,7 +56315,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6845" name="Broadcast_433445" type="Broadcast" version="opset3">
+		<layer id="3594" name="Broadcast_128713" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -104550,8 +56332,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6846" name="ReadValue_417382" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.31.keypresent.31.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3595" name="ReadValue_127513" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.30.keypresent.30.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -104561,7 +56343,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.31.key">
+				<port id="1" precision="FP32" names="past_key_values.30.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -104569,13 +56351,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6847" name="Constant_402076" type="Const" version="opset1">
+		<layer id="3596" name="Constant_126997" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6848" name="Gather_402077" type="Gather" version="opset8">
+		<layer id="3597" name="Gather_126998" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -104598,89 +56380,78 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6849" name="Constant_305276" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3598" name="Constant_21982" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6850" name="Constant_305279" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3599" name="Constant_21985" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6851" name="Constant_305282" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3600" name="Constant_21980" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6852" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3601" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4949">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="3735,k_rot.61">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6853" name="Constant_18247" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4950">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6854" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3602" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4951,key.187">
+				<port id="2" precision="FP32" names="3753">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -104688,41 +56459,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6855" name="Constant_305288" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3603" name="Constant_22355" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6856" name="Constant_305291" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3604" name="Constant_22357" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6857" name="Constant_305294" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3605" name="Constant_22314" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6858" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3606" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -104731,117 +56492,193 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4957,k">
+				<port id="5" precision="FP32" names="3763,x2.123">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6859" name="self.model.gpt_neox.layers.31.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="3607" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="6860" name="self.model.gpt_neox.layers.31.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="3608" name="__module.model.gpt_neox.layers.30.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3609" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="2" precision="FP32" names="3764">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6861" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="3610" name="Constant_22222" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6862" name="ShapeOf_340730" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3611" name="Constant_22263" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3612" name="Constant_22220" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3613" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3758,x1.123">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6863" name="Constant_341063" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3614" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3766">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6864" name="Constant_340732" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3615" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="3767">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6865" name="Gather_340733" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3616" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4959">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3768,3772,k_embed.61,key_states.63">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6866" name="ShapeOf_340735" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3617" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -104849,52 +56686,66 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="key.121">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6867" name="Constant_341066" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3618" name="Constant_128700_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6868" name="Constant_340737" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="3619" name="Constant_128700" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6869" name="Gather_340738" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="3620" name="Constant_128693" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
+			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
+			</output>
+		</layer>
+		<layer id="3621" name="Constant_128695" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
-			</input>
+			</output>
+		</layer>
+		<layer id="3622" name="Constant_128697" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="3" precision="I64" names="4961">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6870" name="__module.model.gpt_neox.layers.31.attention/aten::add_/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3623" name="Concat_128698" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
@@ -104902,95 +56753,111 @@
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="4960,4964,4965,seq_len.125">
-					<dim>1</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3624" name="Broadcast_128701" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6871" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6872" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3625" name="ReadValue_127515" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.30.valuepresent.30.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4968,4971,cos.125">
+				<port id="1" precision="FP32" names="past_key_values.30.value">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6873" name="Constant_38413" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="3626" name="Constant_127000" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6874" name="__module.model.gpt_neox.layers.31.attention/aten::index/Gather" type="Gather" version="opset8">
+		<layer id="3627" name="Gather_127001" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I32" />
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4974">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6875" name="__module.model.gpt_neox.layers.31.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3628" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4975,cos">
+				<port id="2" precision="FP32" names="value.121">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6876" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3629" name="__module.model.gpt_neox.layers.30.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105000,13 +56867,26 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4995">
+				<port id="5" precision="FP32" names="3785,attn_output.181">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105014,203 +56894,209 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6877" name="Constant_305299" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3630" name="__module.model.gpt_neox.layers.30.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6878" name="Constant_305298" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3631" name="__module.model.gpt_neox.layers.30.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3786">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6879" name="__module.model.gpt_neox.layers.31.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3632" name="__module.model.gpt_neox.layers.30.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3789">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6880" name="__module.model.gpt_neox.layers.31.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3633" name="self.model.gpt_neox.layers.30.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="5018148102" size="13107200" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.attention.dense.weight">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6881" name="__module.model.gpt_neox.layers.31.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3634" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4996,5001" />
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6882" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="3635" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="3636" name="self.model.gpt_neox.layers.30.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="5031255302" size="5120" />
 			<output>
-				<port id="1" precision="I64" names="4998,4999,5003,5004" />
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.attention.dense.bias">
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6884" name="Constant_337896" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="3637" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
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 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
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-		<layer id="6886" name="Constant_305297" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6887" name="ScatterUpdate_305300" type="ScatterUpdate" version="opset3">
+		<layer id="3638" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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 		</layer>
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+		<layer id="3675" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="3676" name="Constant_125468" type="Const" version="opset1">
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@@ -105966,77 +57648,83 @@
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+			</output>
+		</layer>
+		<layer id="3679" name="__module.model.gpt_neox.layers.31.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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+		<layer id="3680" name="__module.model.gpt_neox.layers.31.attention/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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+				<port id="5" precision="FP32" names="3840,value_states">
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 					<dim>32</dim>
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@@ -106044,8 +57732,8 @@
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3681" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -106061,7 +57749,7 @@
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 			</input>
 			<output>
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 					<dim>32</dim>
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@@ -106069,240 +57757,245 @@
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 		</layer>
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-					<dim>2048</dim>
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 		</layer>
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+		<layer id="3684" name="Constant_128724" type="Convert" version="opset1">
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 			<rt_info>
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+				<attribute name="decompression" version="0" />
 			</rt_info>
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 			<output>
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 		</layer>
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+		<layer id="3685" name="Constant_128717" type="Const" version="opset1">
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-			</input>
+		<layer id="3686" name="Constant_128719" type="Const" version="opset1">
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 			<output>
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+		<layer id="3687" name="Constant_128721" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3688" name="Concat_128722" type="Concat" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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 			<output>
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+					<dim>4</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3689" name="Broadcast_128725" type="Broadcast" version="opset3">
+			<data mode="numpy" />
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+				<port id="0" precision="FP32" />
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 			</input>
 			<output>
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+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="3690" name="ReadValue_127517" type="ReadValue" version="opset6">
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 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 			<output>
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+				<port id="1" precision="FP32" names="past_key_values.31.key">
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 			<data batch_dims="0" />
 			<input>
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 					<dim>32</dim>
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 					<dim>80</dim>
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 			<output>
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+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7013" name="Constant_305522" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3700" name="Constant_23022" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7014" name="ScatterUpdate_305525" type="ScatterUpdate" version="opset3">
+		<layer id="3701" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -106310,56 +58003,88 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="3874,x2">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7015" name="Constant_305526" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3702" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="3703" name="__module.model.gpt_neox.layers.31.attention/aten::neg/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3704" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3875">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7016" name="Constant_337902" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3705" name="Constant_22930" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+		<layer id="3706" name="Constant_22971" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3707" name="Constant_22928" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7018" name="ScatterUpdate_305527" type="ScatterUpdate" version="opset3">
+		<layer id="3708" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -106367,103 +58092,153 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="3869,x1">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7019" name="Constant_305530" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409012" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3709" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_1" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="3877">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7020" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3710" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3878">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
+			</output>
+		</layer>
+		<layer id="3711" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="5032">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3879,3883,k_embed,key_states">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2048</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3712" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_3" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="key.125">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3764" name="Constant_22672" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7023" name="Constant_305600" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3765" name="Constant_22675" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3766" name="Constant_22670" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7025" name="ScatterUpdate_305605" type="ScatterUpdate" version="opset3">
+		<layer id="3767" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -106471,216 +58246,167 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7026" name="Constant_305608" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3844,q_rot">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7027" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3768" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="5033,5034">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3848">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="FP16" />
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-		</layer>
-		<layer id="7029" name="__module.model.gpt_neox.layers.31.attention/aten::where/Convert_1" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16" />
-			</input>
+		<layer id="3769" name="Constant_22854" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="1" precision="FP32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="302409036" size="4" />
+		<layer id="3770" name="Constant_22856" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="5021" />
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-		<layer id="7031" name="__module.model.gpt_neox.layers.31.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
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-				<port id="0" precision="BOOL">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
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+			</output>
+		</layer>
+		<layer id="3771" name="Constant_22813" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
-				<port id="3" precision="FP32" names="5035,causal_mask.125">
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+				<port id="0" precision="I64">
 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="7032" name="Add_317220" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3772" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
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-				<port id="1" precision="FP32">
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+				<port id="1" precision="I64">
 					<dim>1</dim>
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+				<port id="2" precision="I64">
 					<dim>1</dim>
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
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 			<output>
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3773" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211870" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="7035" name="Constant_340822" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3774" name="__module.model.gpt_neox.layers.31.attention/aten::neg/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="7036" name="Gather_340823" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3775" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="5019">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3859">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7037" name="Constant_268271" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3776" name="Constant_22721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7038" name="Constant_268273" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3777" name="Constant_22762" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559218" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7039" name="Constant_268275" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3778" name="Constant_22719" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559238" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7040" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="3779" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -106691,52 +58417,95 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="5036">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3853,x1.125">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7041" name="Maximum_317222" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3780" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3861">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7042" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3781" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3862">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="3782" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5038">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3863,3881,q_embed,query.125">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7043" name="__module.model.gpt_neox.layers.31.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3783" name="__module.model.gpt_neox.layers.31.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106763,9 +58532,10 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="4" precision="FP32" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="5039,5040,sdpa_result,tensor.125">
+				<port id="5" precision="FP32" names="3896,attn_output.187">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -106773,15 +58543,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7044" name="Constant_18702" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3784" name="__module.model.gpt_neox.layers.31.attention/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559106" size="16" />
 			<output>
-				<port id="0" precision="I64" names="5041">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7045" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3785" name="__module.model.gpt_neox.layers.31.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -106789,12 +58559,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5042">
+				<port id="2" precision="FP32" names="3897">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -106802,19 +58572,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7046" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7047" name="__module.model.gpt_neox.layers.31.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3786" name="__module.model.gpt_neox.layers.31.attention/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -106827,15 +58586,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5047">
+				<port id="2" precision="FP32" names="3900">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7048" name="self.model.gpt_neox.layers.31.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="5180350850" size="13107200" />
+		<layer id="3787" name="self.model.gpt_neox.layers.31.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="5175501062" size="13107200" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.attention.dense.weight">
 					<dim>2560</dim>
@@ -106843,7 +58602,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7049" name="self.model.gpt_neox.layers.31.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="3788" name="__module.model.gpt_neox.layers.31.attention.dense/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -106861,13 +58620,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7050" name="__module.model.gpt_neox.layers.31.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3789" name="__module.model.gpt_neox.layers.31.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
@@ -106882,37 +58641,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7051" name="Constant_325506_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5193458050" size="5120" />
+		<layer id="3790" name="self.model.gpt_neox.layers.31.attention.dense.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="5188608262" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.attention.dense.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7052" name="Constant_325506" type="Convert" version="opset1">
+		<layer id="3791" name="__module.model.gpt_neox.layers.31.attention.dense/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7053" name="__module.model.gpt_neox.layers.31.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3792" name="__module.model.gpt_neox.layers.31.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106921,20 +58674,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5050,5052,input.127">
+				<port id="2" precision="FP32" names="3904,3906,input.313">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7054" name="__module.model.gpt_neox.layers.31/aten::add/Add" type="Add" version="opset1">
+		<layer id="3793" name="__module.model.gpt_neox.layers.31/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106949,14 +58700,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5056,attn_output">
+				<port id="2" precision="FP32" names="3910,input.315">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7055" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3794" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -106964,7 +58715,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7056" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3795" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106984,8 +58735,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7057" name="Constant_325507_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5193463170" size="5120" />
+		<layer id="3796" name="Constant_117268_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="5188613382" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -106994,7 +58745,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7058" name="Constant_325507" type="Convert" version="opset1">
+		<layer id="3797" name="Constant_117268" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -107014,7 +58765,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7059" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3798" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107036,8 +58787,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7060" name="Constant_325508_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5193468290" size="5120" />
+		<layer id="3799" name="Constant_117269_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="5188618502" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -107046,7 +58797,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7061" name="Constant_325508" type="Convert" version="opset1">
+		<layer id="3800" name="Constant_117269" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -107066,7 +58817,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7062" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3801" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107081,15 +58832,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5060">
+				<port id="2" precision="FP32" names="3914">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-		<layer id="7063" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="5193473410" size="52428800" />
+		<layer id="3802" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="5188623622" size="52428800" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
@@ -107097,7 +58848,7 @@
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 		</layer>
-		<layer id="7064" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="3803" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -107115,7 +58866,7 @@
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 		</layer>
-		<layer id="7065" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3804" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -107136,37 +58887,31 @@
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-		<layer id="7066" name="Constant_325509_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="5245902210" size="20480" />
+		<layer id="3805" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="5241052422" size="20480" />
 			<output>
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7067" name="Constant_325509" type="Convert" version="opset1">
+		<layer id="3806" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
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 			<input>
 				<port id="0" precision="FP16">
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 					<dim>10240</dim>
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-		<layer id="7068" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3807" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -107175,20 +58920,18 @@
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 				<port id="1" precision="FP32">
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 			<output>
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-		<layer id="7069" name="__module.model.gpt_neox.layers.31.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3808" name="__module.model.gpt_neox.layers.31.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
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@@ -107198,15 +58941,15 @@
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 			</input>
 			<output>
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 					<dim>10240</dim>
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-		<layer id="7070" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="5245922690" size="52428800" />
+		<layer id="3809" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="5241072902" size="52428800" />
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 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight">
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@@ -107214,7 +58957,7 @@
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 			</output>
 		</layer>
-		<layer id="7071" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="3810" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -107232,7 +58975,7 @@
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 		</layer>
-		<layer id="7072" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3811" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107253,37 +58996,31 @@
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 			</output>
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-		<layer id="7073" name="Constant_325510_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5298351490" size="5120" />
+		<layer id="3812" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="5293501702" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7074" name="Constant_325510" type="Convert" version="opset1">
+		<layer id="3813" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/Convert_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="7075" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3814" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107292,20 +59029,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>2560</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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-		<layer id="7076" name="__module.model.gpt_neox.layers.31/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3815" name="__module.model.gpt_neox.layers.31/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107320,14 +59055,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5071,5073">
+				<port id="2" precision="FP32" names="3925,3927,input">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="7077" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3816" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -107335,7 +59070,7 @@
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 			</output>
 		</layer>
-		<layer id="7078" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3817" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107355,8 +59090,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7079" name="Constant_325511_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5298356610" size="5120" />
+		<layer id="3818" name="Constant_117270_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="5293506822" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -107365,7 +59100,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7080" name="Constant_325511" type="Convert" version="opset1">
+		<layer id="3819" name="Constant_117270" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -107385,7 +59120,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7081" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3820" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107407,8 +59142,8 @@
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 			</output>
 		</layer>
-		<layer id="7082" name="Constant_325512_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5298361730" size="5120" />
+		<layer id="3821" name="Constant_117271_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="5293511942" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -107417,7 +59152,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7083" name="Constant_325512" type="Convert" version="opset1">
+		<layer id="3822" name="Constant_117271" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -107437,7 +59172,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7084" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3823" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107452,15 +59187,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5079,5081">
+				<port id="2" precision="FP32" names="3933,3935,4000,4001,4002,hidden_states">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="7085" name="self.model.embed_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="50432, 2560" offset="5298366850" size="258211840" />
+		<layer id="3824" name="self.model.embed_out.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="50432, 2560" offset="5293517062" size="258211840" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.embed_out.weight">
 					<dim>50432</dim>
@@ -107468,7 +59203,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7086" name="self.model.embed_out.weight" type="Convert" version="opset1">
+		<layer id="3825" name="__module.model.embed_out/ov_ext::linear/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -107486,7 +59221,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7087" name="__module.model.embed_out/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3826" name="__module.model.embed_out/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107507,7 +59242,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6959" name="Assign_417283" type="Assign" version="opset6">
+		<layer id="3763" name="Assign_127418" type="Assign" version="opset6">
 			<data variable_id="past_key_values.0.keypresent.0.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107526,7 +59261,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6958" name="Assign_417285" type="Assign" version="opset6">
+		<layer id="3762" name="Assign_127420" type="Assign" version="opset6">
 			<data variable_id="past_key_values.0.valuepresent.0.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107545,7 +59280,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6957" name="Assign_417287" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.1.keypresent.1.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107564,7 +59299,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6956" name="Assign_417289" type="Assign" version="opset6">
+		<layer id="3760" name="Assign_127424" type="Assign" version="opset6">
 			<data variable_id="past_key_values.1.valuepresent.1.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107583,7 +59318,7 @@
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 			</output>
 		</layer>
-		<layer id="6955" name="Assign_417291" type="Assign" version="opset6">
+		<layer id="3759" name="Assign_127426" type="Assign" version="opset6">
 			<data variable_id="past_key_values.10.keypresent.10.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107602,7 +59337,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6954" name="Assign_417293" type="Assign" version="opset6">
+		<layer id="3758" name="Assign_127428" type="Assign" version="opset6">
 			<data variable_id="past_key_values.10.valuepresent.10.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107621,7 +59356,7 @@
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 			</output>
 		</layer>
-		<layer id="6953" name="Assign_417295" type="Assign" version="opset6">
+		<layer id="3757" name="Assign_127430" type="Assign" version="opset6">
 			<data variable_id="past_key_values.11.keypresent.11.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107640,7 +59375,7 @@
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 			</output>
 		</layer>
-		<layer id="6952" name="Assign_417297" type="Assign" version="opset6">
+		<layer id="3756" name="Assign_127432" type="Assign" version="opset6">
 			<data variable_id="past_key_values.11.valuepresent.11.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107659,7 +59394,7 @@
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 			</output>
 		</layer>
-		<layer id="6951" name="Assign_417299" type="Assign" version="opset6">
+		<layer id="3755" name="Assign_127434" type="Assign" version="opset6">
 			<data variable_id="past_key_values.12.keypresent.12.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107678,7 +59413,7 @@
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 			</output>
 		</layer>
-		<layer id="6950" name="Assign_417301" type="Assign" version="opset6">
+		<layer id="3754" name="Assign_127436" type="Assign" version="opset6">
 			<data variable_id="past_key_values.12.valuepresent.12.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107697,7 +59432,7 @@
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 			</output>
 		</layer>
-		<layer id="6949" name="Assign_417303" type="Assign" version="opset6">
+		<layer id="3753" name="Assign_127438" type="Assign" version="opset6">
 			<data variable_id="past_key_values.13.keypresent.13.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107716,7 +59451,7 @@
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 			</output>
 		</layer>
-		<layer id="6948" name="Assign_417305" type="Assign" version="opset6">
+		<layer id="3752" name="Assign_127440" type="Assign" version="opset6">
 			<data variable_id="past_key_values.13.valuepresent.13.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107735,7 +59470,7 @@
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 			</output>
 		</layer>
-		<layer id="6947" name="Assign_417307" type="Assign" version="opset6">
+		<layer id="3751" name="Assign_127442" type="Assign" version="opset6">
 			<data variable_id="past_key_values.14.keypresent.14.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107754,7 +59489,7 @@
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 			</output>
 		</layer>
-		<layer id="6946" name="Assign_417309" type="Assign" version="opset6">
+		<layer id="3750" name="Assign_127444" type="Assign" version="opset6">
 			<data variable_id="past_key_values.14.valuepresent.14.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107773,7 +59508,7 @@
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 		</layer>
-		<layer id="6945" name="Assign_417311" type="Assign" version="opset6">
+		<layer id="3749" name="Assign_127446" type="Assign" version="opset6">
 			<data variable_id="past_key_values.15.keypresent.15.key" />
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@@ -107792,7 +59527,7 @@
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 		</layer>
-		<layer id="6944" name="Assign_417313" type="Assign" version="opset6">
+		<layer id="3748" name="Assign_127448" type="Assign" version="opset6">
 			<data variable_id="past_key_values.15.valuepresent.15.value" />
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@@ -107811,7 +59546,7 @@
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 			</output>
 		</layer>
-		<layer id="6943" name="Assign_417315" type="Assign" version="opset6">
+		<layer id="3747" name="Assign_127450" type="Assign" version="opset6">
 			<data variable_id="past_key_values.16.keypresent.16.key" />
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@@ -107830,7 +59565,7 @@
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 			</output>
 		</layer>
-		<layer id="6942" name="Assign_417317" type="Assign" version="opset6">
+		<layer id="3746" name="Assign_127452" type="Assign" version="opset6">
 			<data variable_id="past_key_values.16.valuepresent.16.value" />
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@@ -107849,7 +59584,7 @@
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 			</output>
 		</layer>
-		<layer id="6941" name="Assign_417319" type="Assign" version="opset6">
+		<layer id="3745" name="Assign_127454" type="Assign" version="opset6">
 			<data variable_id="past_key_values.17.keypresent.17.key" />
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@@ -107868,7 +59603,7 @@
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 		</layer>
-		<layer id="6940" name="Assign_417321" type="Assign" version="opset6">
+		<layer id="3744" name="Assign_127456" type="Assign" version="opset6">
 			<data variable_id="past_key_values.17.valuepresent.17.value" />
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@@ -107887,7 +59622,7 @@
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 		</layer>
-		<layer id="6939" name="Assign_417323" type="Assign" version="opset6">
+		<layer id="3743" name="Assign_127458" type="Assign" version="opset6">
 			<data variable_id="past_key_values.18.keypresent.18.key" />
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@@ -107906,7 +59641,7 @@
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 			</output>
 		</layer>
-		<layer id="6938" name="Assign_417325" type="Assign" version="opset6">
+		<layer id="3742" name="Assign_127460" type="Assign" version="opset6">
 			<data variable_id="past_key_values.18.valuepresent.18.value" />
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@@ -107925,7 +59660,7 @@
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-		<layer id="6937" name="Assign_417327" type="Assign" version="opset6">
+		<layer id="3741" name="Assign_127462" type="Assign" version="opset6">
 			<data variable_id="past_key_values.19.keypresent.19.key" />
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@@ -107944,7 +59679,7 @@
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-		<layer id="6936" name="Assign_417329" type="Assign" version="opset6">
+		<layer id="3740" name="Assign_127464" type="Assign" version="opset6">
 			<data variable_id="past_key_values.19.valuepresent.19.value" />
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@@ -107963,7 +59698,7 @@
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-		<layer id="6935" name="Assign_417331" type="Assign" version="opset6">
+		<layer id="3739" name="Assign_127466" type="Assign" version="opset6">
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@@ -107982,7 +59717,7 @@
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+		<layer id="3738" name="Assign_127468" type="Assign" version="opset6">
 			<data variable_id="past_key_values.2.valuepresent.2.value" />
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@@ -108001,7 +59736,7 @@
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-		<layer id="6933" name="Assign_417335" type="Assign" version="opset6">
+		<layer id="3737" name="Assign_127470" type="Assign" version="opset6">
 			<data variable_id="past_key_values.20.keypresent.20.key" />
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@@ -108020,7 +59755,7 @@
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-		<layer id="6932" name="Assign_417337" type="Assign" version="opset6">
+		<layer id="3736" name="Assign_127472" type="Assign" version="opset6">
 			<data variable_id="past_key_values.20.valuepresent.20.value" />
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@@ -108039,7 +59774,7 @@
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-		<layer id="6931" name="Assign_417339" type="Assign" version="opset6">
+		<layer id="3735" name="Assign_127474" type="Assign" version="opset6">
 			<data variable_id="past_key_values.21.keypresent.21.key" />
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@@ -108058,7 +59793,7 @@
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-		<layer id="6930" name="Assign_417341" type="Assign" version="opset6">
+		<layer id="3734" name="Assign_127476" type="Assign" version="opset6">
 			<data variable_id="past_key_values.21.valuepresent.21.value" />
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@@ -108077,7 +59812,7 @@
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-		<layer id="6929" name="Assign_417343" type="Assign" version="opset6">
+		<layer id="3733" name="Assign_127478" type="Assign" version="opset6">
 			<data variable_id="past_key_values.22.keypresent.22.key" />
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@@ -108096,7 +59831,7 @@
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-		<layer id="6928" name="Assign_417345" type="Assign" version="opset6">
+		<layer id="3732" name="Assign_127480" type="Assign" version="opset6">
 			<data variable_id="past_key_values.22.valuepresent.22.value" />
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@@ -108115,7 +59850,7 @@
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 			</output>
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-		<layer id="6927" name="Assign_417347" type="Assign" version="opset6">
+		<layer id="3731" name="Assign_127482" type="Assign" version="opset6">
 			<data variable_id="past_key_values.23.keypresent.23.key" />
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@@ -108134,7 +59869,7 @@
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 			</output>
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-		<layer id="6926" name="Assign_417349" type="Assign" version="opset6">
+		<layer id="3730" name="Assign_127484" type="Assign" version="opset6">
 			<data variable_id="past_key_values.23.valuepresent.23.value" />
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@@ -108153,7 +59888,7 @@
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-		<layer id="6925" name="Assign_417351" type="Assign" version="opset6">
+		<layer id="3729" name="Assign_127486" type="Assign" version="opset6">
 			<data variable_id="past_key_values.24.keypresent.24.key" />
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@@ -108172,7 +59907,7 @@
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 			</output>
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-		<layer id="6924" name="Assign_417353" type="Assign" version="opset6">
+		<layer id="3728" name="Assign_127488" type="Assign" version="opset6">
 			<data variable_id="past_key_values.24.valuepresent.24.value" />
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@@ -108191,7 +59926,7 @@
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 			</output>
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-		<layer id="6923" name="Assign_417355" type="Assign" version="opset6">
+		<layer id="3727" name="Assign_127490" type="Assign" version="opset6">
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@@ -108210,7 +59945,7 @@
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-		<layer id="6922" name="Assign_417357" type="Assign" version="opset6">
+		<layer id="3726" name="Assign_127492" type="Assign" version="opset6">
 			<data variable_id="past_key_values.25.valuepresent.25.value" />
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@@ -108229,7 +59964,7 @@
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 			</output>
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-		<layer id="6921" name="Assign_417359" type="Assign" version="opset6">
+		<layer id="3725" name="Assign_127494" type="Assign" version="opset6">
 			<data variable_id="past_key_values.26.keypresent.26.key" />
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 				<port id="0" precision="FP32">
@@ -108248,7 +59983,7 @@
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 			</output>
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-		<layer id="6920" name="Assign_417361" type="Assign" version="opset6">
+		<layer id="3724" name="Assign_127496" type="Assign" version="opset6">
 			<data variable_id="past_key_values.26.valuepresent.26.value" />
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 				<port id="0" precision="FP32">
@@ -108267,7 +60002,7 @@
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 			</output>
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-		<layer id="6919" name="Assign_417363" type="Assign" version="opset6">
+		<layer id="3723" name="Assign_127498" type="Assign" version="opset6">
 			<data variable_id="past_key_values.27.keypresent.27.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -108286,7 +60021,7 @@
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 			</output>
 		</layer>
-		<layer id="6918" name="Assign_417365" type="Assign" version="opset6">
+		<layer id="3722" name="Assign_127500" type="Assign" version="opset6">
 			<data variable_id="past_key_values.27.valuepresent.27.value" />
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 				<port id="0" precision="FP32">
@@ -108305,7 +60040,7 @@
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 			</output>
 		</layer>
-		<layer id="6917" name="Assign_417367" type="Assign" version="opset6">
+		<layer id="3721" name="Assign_127502" type="Assign" version="opset6">
 			<data variable_id="past_key_values.28.keypresent.28.key" />
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 				<port id="0" precision="FP32">
@@ -108324,7 +60059,7 @@
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 			</output>
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-		<layer id="6916" name="Assign_417369" type="Assign" version="opset6">
+		<layer id="3720" name="Assign_127504" type="Assign" version="opset6">
 			<data variable_id="past_key_values.28.valuepresent.28.value" />
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 				<port id="0" precision="FP32">
@@ -108343,7 +60078,7 @@
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 			</output>
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-		<layer id="6915" name="Assign_417371" type="Assign" version="opset6">
+		<layer id="3719" name="Assign_127506" type="Assign" version="opset6">
 			<data variable_id="past_key_values.29.keypresent.29.key" />
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@@ -108362,7 +60097,7 @@
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-		<layer id="6914" name="Assign_417373" type="Assign" version="opset6">
+		<layer id="3718" name="Assign_127508" type="Assign" version="opset6">
 			<data variable_id="past_key_values.29.valuepresent.29.value" />
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@@ -108381,7 +60116,7 @@
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 			</output>
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-		<layer id="6913" name="Assign_417375" type="Assign" version="opset6">
+		<layer id="3717" name="Assign_127510" type="Assign" version="opset6">
 			<data variable_id="past_key_values.3.keypresent.3.key" />
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@@ -108400,7 +60135,7 @@
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-		<layer id="6912" name="Assign_417377" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.3.valuepresent.3.value" />
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@@ -108419,7 +60154,7 @@
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+		<layer id="3715" name="Assign_127514" type="Assign" version="opset6">
 			<data variable_id="past_key_values.30.keypresent.30.key" />
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@@ -108438,7 +60173,7 @@
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+		<layer id="3714" name="Assign_127516" type="Assign" version="opset6">
 			<data variable_id="past_key_values.30.valuepresent.30.value" />
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@@ -108457,7 +60192,7 @@
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+		<layer id="3713" name="Assign_127518" type="Assign" version="opset6">
 			<data variable_id="past_key_values.31.keypresent.31.key" />
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@@ -108476,7 +60211,7 @@
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-		<layer id="6838" name="Assign_417385" type="Assign" version="opset6">
+		<layer id="3682" name="Assign_127520" type="Assign" version="opset6">
 			<data variable_id="past_key_values.31.valuepresent.31.value" />
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@@ -108495,7 +60230,7 @@
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 		</layer>
-		<layer id="2113" name="Assign_417387" type="Assign" version="opset6">
+		<layer id="1247" name="Assign_127522" type="Assign" version="opset6">
 			<data variable_id="past_key_values.4.keypresent.4.key" />
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@@ -108514,7 +60249,7 @@
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-		<layer id="2112" name="Assign_417389" type="Assign" version="opset6">
+		<layer id="1246" name="Assign_127524" type="Assign" version="opset6">
 			<data variable_id="past_key_values.4.valuepresent.4.value" />
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@@ -108533,7 +60268,7 @@
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 			</output>
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-		<layer id="2111" name="Assign_417391" type="Assign" version="opset6">
+		<layer id="1245" name="Assign_127526" type="Assign" version="opset6">
 			<data variable_id="past_key_values.5.keypresent.5.key" />
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@@ -108552,7 +60287,7 @@
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 			</output>
 		</layer>
-		<layer id="2110" name="Assign_417393" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.5.valuepresent.5.value" />
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@@ -108571,7 +60306,7 @@
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 			</output>
 		</layer>
-		<layer id="2109" name="Assign_417395" type="Assign" version="opset6">
+		<layer id="1243" name="Assign_127530" type="Assign" version="opset6">
 			<data variable_id="past_key_values.6.keypresent.6.key" />
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 				<port id="0" precision="FP32">
@@ -108590,7 +60325,7 @@
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 			</output>
 		</layer>
-		<layer id="2108" name="Assign_417397" type="Assign" version="opset6">
+		<layer id="1242" name="Assign_127532" type="Assign" version="opset6">
 			<data variable_id="past_key_values.6.valuepresent.6.value" />
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@@ -108609,7 +60344,7 @@
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 			</output>
 		</layer>
-		<layer id="2107" name="Assign_417399" type="Assign" version="opset6">
+		<layer id="1241" name="Assign_127534" type="Assign" version="opset6">
 			<data variable_id="past_key_values.7.keypresent.7.key" />
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@@ -108628,7 +60363,7 @@
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 			</output>
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-		<layer id="2106" name="Assign_417401" type="Assign" version="opset6">
+		<layer id="1240" name="Assign_127536" type="Assign" version="opset6">
 			<data variable_id="past_key_values.7.valuepresent.7.value" />
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@@ -108647,7 +60382,7 @@
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 			</output>
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-		<layer id="2105" name="Assign_417403" type="Assign" version="opset6">
+		<layer id="1239" name="Assign_127538" type="Assign" version="opset6">
 			<data variable_id="past_key_values.8.keypresent.8.key" />
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@@ -108666,7 +60401,7 @@
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-		<layer id="2104" name="Assign_417405" type="Assign" version="opset6">
+		<layer id="1238" name="Assign_127540" type="Assign" version="opset6">
 			<data variable_id="past_key_values.8.valuepresent.8.value" />
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@@ -108685,7 +60420,7 @@
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-		<layer id="2103" name="Assign_417407" type="Assign" version="opset6">
+		<layer id="1237" name="Assign_127542" type="Assign" version="opset6">
 			<data variable_id="past_key_values.9.keypresent.9.key" />
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@@ -108704,7 +60439,7 @@
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-		<layer id="2030" name="Assign_417409" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.9.valuepresent.9.value" />
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@@ -108723,7 +60458,7 @@
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-		<layer id="7088" name="Result_140468" type="Result" version="opset1">
+		<layer id="3827" name="Result_23637" type="Result" version="opset1" output_names="logits">
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@@ -108734,144 +60469,145 @@
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@@ -111133,75 +63000,74 @@
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+		<Runtime_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
 		<conversion_parameters>
 			<framework value="pytorch" />
 			<is_python_object value="True" />
 		</conversion_parameters>
 		<optimum>
-			<optimum_intel_version value="1.18.0.dev0+0a6075b" />
-			<optimum_version value="1.20.0" />
-			<pytorch_version value="2.3.0" />
-			<transformers_version value="4.41.2" />
+			<optimum_intel_version value="1.25.0.dev0+d93fd59" />
+			<optimum_version value="1.27.0.dev0" />
+			<pytorch_version value="2.7.1+cpu" />
+			<transformers_version value="4.52.4" />
 		</optimum>
+		<runtime_options>
+			<ACTIVATIONS_SCALE_FACTOR value="8.0" />
+			<KV_CACHE_PRECISION value="f16" />
+		</runtime_options>
 	</rt_info>
 </net>