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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,44 @@
+---
+license: gemma
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- mlx
+extra_gated_heading: Access EmbeddingGemma on Hugging Face
+extra_gated_prompt: To access EmbeddingGemma on Hugging Face, you’re required to review
+  and agree to Google’s usage license. To do this, please ensure you’re logged in
+  to Hugging Face and click below. Requests are processed immediately.
+extra_gated_button_content: Acknowledge license
+---
+
+# mlx-community/embeddinggemma-300m-qat-q8_0-unquantized-bf16
+
+The Model [mlx-community/embeddinggemma-300m-qat-q8_0-unquantized-bf16](https://huggingface.co/mlx-community/embeddinggemma-300m-qat-q8_0-unquantized-bf16) was converted to MLX format from [google/embeddinggemma-300m-qat-q8_0-unquantized](https://huggingface.co/google/embeddinggemma-300m-qat-q8_0-unquantized) using mlx-lm version **0.0.4**.
+
+## Use with mlx
+
+```bash
+pip install mlx-embeddings
+```
+
+```python
+from mlx_embeddings import load, generate
+import mlx.core as mx
+
+model, tokenizer = load("mlx-community/embeddinggemma-300m-qat-q8_0-unquantized-bf16")
+
+# For text embeddings
+output = generate(model, processor, texts=["I like grapes", "I like fruits"])
+embeddings = output.text_embeds  # Normalized embeddings
+
+# Compute dot product between normalized embeddings
+similarity_matrix = mx.matmul(embeddings, embeddings.T)
+
+print("Similarity matrix between texts:")
+print(similarity_matrix)
+
+
+```

added_tokens.json

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+{
+  "<image_soft_token>": 262144
+}

config.json

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+{
+    "_sliding_window_pattern": 6,
+    "architectures": [
+        "Gemma3TextModel"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_logit_softcapping": null,
+    "bos_token_id": 2,
+    "dtype": "float32",
+    "eos_token_id": 1,
+    "final_logit_softcapping": null,
+    "head_dim": 256,
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 768,
+    "initializer_range": 0.02,
+    "intermediate_size": 1152,
+    "layer_types": [
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 2048,
+    "model_type": "gemma3_text",
+    "num_attention_heads": 3,
+    "num_hidden_layers": 24,
+    "num_key_value_heads": 1,
+    "pad_token_id": 0,
+    "query_pre_attn_scalar": 256,
+    "rms_norm_eps": 1e-06,
+    "rope_local_base_freq": 10000.0,
+    "rope_scaling": null,
+    "rope_theta": 1000000.0,
+    "sliding_window": 512,
+    "transformers_version": "4.57.0.dev0",
+    "use_bidirectional_attention": true,
+    "use_cache": true,
+    "vocab_size": 262144
+}

config_sentence_transformers.json

@@ -0,0 +1,26 @@
+{
+  "model_type": "SentenceTransformer",
+  "__version__": {
+    "sentence_transformers": "5.1.0",
+    "transformers": "4.57.0.dev0",
+    "pytorch": "2.8.0+cu128"
+  },
+  "prompts": {
+    "query": "task: search result | query: ",
+    "document": "title: none | text: ",
+    "BitextMining": "task: search result | query: ",
+    "Clustering": "task: clustering | query: ",
+    "Classification": "task: classification | query: ",
+    "InstructionRetrieval": "task: code retrieval | query: ",
+    "MultilabelClassification": "task: classification | query: ",
+    "PairClassification": "task: sentence similarity | query: ",
+    "Reranking": "task: search result | query: ",
+    "Retrieval": "task: search result | query: ",
+    "Retrieval-query": "task: search result | query: ",
+    "Retrieval-document": "title: none | text: ",
+    "STS": "task: sentence similarity | query: ",
+    "Summarization": "task: summarization | query: "
+  },
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "4.57.0.dev0"
+}

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