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| "model.layers.54.self_attn.v_proj", | |
| "model.layers.54.self_attn.o_proj", | |
| "model.layers.54.self_attn.qkv_proj", | |
| "model.layers.54.block_sparse_moe.gate", | |
| "model.layers.55.self_attn.q_proj", | |
| "model.layers.55.self_attn.k_proj", | |
| "model.layers.55.self_attn.v_proj", | |
| "model.layers.55.self_attn.o_proj", | |
| "model.layers.55.self_attn.qkv_proj", | |
| "model.layers.55.block_sparse_moe.gate", | |
| "model.layers.56.self_attn.q_proj", | |
| "model.layers.56.self_attn.k_proj", | |
| "model.layers.56.self_attn.v_proj", | |
| "model.layers.56.self_attn.o_proj", | |
| "model.layers.56.self_attn.qkv_proj", | |
| "model.layers.56.block_sparse_moe.gate", | |
| "model.layers.57.self_attn.q_proj", | |
| "model.layers.57.self_attn.k_proj", | |
| "model.layers.57.self_attn.v_proj", | |
| "model.layers.57.self_attn.o_proj", | |
| "model.layers.57.self_attn.qkv_proj", | |
| "model.layers.57.block_sparse_moe.gate", | |
| "model.layers.58.self_attn.q_proj", | |
| "model.layers.58.self_attn.k_proj", | |
| "model.layers.58.self_attn.v_proj", | |
| "model.layers.58.self_attn.o_proj", | |
| "model.layers.58.self_attn.qkv_proj", | |
| "model.layers.58.block_sparse_moe.gate", | |
| "model.layers.59.self_attn.q_proj", | |
| "model.layers.59.self_attn.k_proj", | |
| "model.layers.59.self_attn.v_proj", | |
| "model.layers.59.self_attn.o_proj", | |
| "model.layers.59.self_attn.qkv_proj", | |
| "model.layers.59.block_sparse_moe.gate", | |
| "model.layers.60.self_attn.q_proj", | |
| "model.layers.60.self_attn.k_proj", | |
| "model.layers.60.self_attn.v_proj", | |
| "model.layers.60.self_attn.o_proj", | |
| "model.layers.60.self_attn.qkv_proj", | |
| "model.layers.60.block_sparse_moe.gate", | |
| "model.layers.61.self_attn.q_proj", | |
| "model.layers.61.self_attn.k_proj", | |
| "model.layers.61.self_attn.v_proj", | |
| "model.layers.61.self_attn.o_proj", | |
| "model.layers.61.self_attn.qkv_proj", | |
| "model.layers.61.block_sparse_moe.gate", | |
| "lm_head" | |
| ], | |
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| "quant_method": "compressed-tensors", | |
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| }, | |
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| "rope_theta": 5000000, | |
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| "vocab_size": 200064 | |
| } | |