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| "model.layers.44.post_attention_layernorm", | |
| "model.layers.45.input_layernorm", | |
| "model.layers.45.linear_attn.A_log", | |
| "model.layers.45.linear_attn.conv1d", | |
| "model.layers.45.linear_attn.dt_bias", | |
| "model.layers.45.linear_attn.in_proj_ba", | |
| "model.layers.45.linear_attn.norm", | |
| "model.layers.45.mlp.gate", | |
| "model.layers.45.mlp.shared_expert_gate", | |
| "model.layers.45.post_attention_layernorm", | |
| "model.layers.46.input_layernorm", | |
| "model.layers.46.linear_attn.A_log", | |
| "model.layers.46.linear_attn.conv1d", | |
| "model.layers.46.linear_attn.dt_bias", | |
| "model.layers.46.linear_attn.in_proj_ba", | |
| "model.layers.46.linear_attn.norm", | |
| "model.layers.46.mlp.gate", | |
| "model.layers.46.mlp.shared_expert_gate", | |
| "model.layers.46.post_attention_layernorm", | |
| "model.layers.47.input_layernorm", | |
| "model.layers.47.mlp.gate", | |
| "model.layers.47.mlp.shared_expert_gate", | |
| "model.layers.47.post_attention_layernorm", | |
| "model.layers.47.self_attn.k_norm", | |
| "model.layers.47.self_attn.q_norm", | |
| "mtp.fc", | |
| "mtp.layers.0.input_layernorm", | |
| "mtp.layers.0.mlp.gate", | |
| "mtp.layers.0.mlp.shared_expert_gate", | |
| "mtp.layers.0.post_attention_layernorm", | |
| "mtp.layers.0.self_attn.k_norm", | |
| "mtp.layers.0.self_attn.q_norm", | |
| "mtp.norm", | |
| "mtp.pre_fc_norm_embedding", | |
| "mtp.pre_fc_norm_hidden" | |
| ], | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| } | |
| } |