vbatts/llama.cpp
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Update tensor map for falcon-rw

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akawrykow 2023-08-29 15:20:00 -07:00
parent de64f091c8
commit 4380e52abc
1 changed files with 2 additions and 0 deletions
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gguf-py/gguf/gguf.py
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@ -144,6 +144,7 @@ MODEL_TENSOR_NAMES = {
MODEL_TENSOR.ATTN_NORM_2: "blk.{bid}.attn_norm_2", MODEL_TENSOR.ATTN_NORM_2: "blk.{bid}.attn_norm_2",
MODEL_TENSOR.ATTN_QKV: "blk.{bid}.attn_qkv", MODEL_TENSOR.ATTN_QKV: "blk.{bid}.attn_qkv",
MODEL_TENSOR.ATTN_OUT: "blk.{bid}.attn_output", MODEL_TENSOR.ATTN_OUT: "blk.{bid}.attn_output",
MODEL_TENSOR.FFN_NORM: "blk.{bid}.ffn_norm",
MODEL_TENSOR.FFN_DOWN: "blk.{bid}.ffn_down", MODEL_TENSOR.FFN_DOWN: "blk.{bid}.ffn_down",
MODEL_TENSOR.FFN_UP: "blk.{bid}.ffn_up", MODEL_TENSOR.FFN_UP: "blk.{bid}.ffn_up",
}, },
@ -291,6 +292,7 @@ def get_tensor_name_map(arch: MODEL_ARCH, n_blocks: int) -> dict:
tensor_map["transformer.blocks."+str(i)+".norm_2"] = mapped_to # mpt tensor_map["transformer.blocks."+str(i)+".norm_2"] = mapped_to # mpt
tensor_map["model.layers."+str(i)+".post_attention_layernorm"] = mapped_to # llama-hf tensor_map["model.layers."+str(i)+".post_attention_layernorm"] = mapped_to # llama-hf
tensor_map["layers."+str(i)+".ffn_norm"] = mapped_to # llama-pth tensor_map["layers."+str(i)+".ffn_norm"] = mapped_to # llama-pth
tensor_map["transformer.h."+str(i)+".post_attention_layernorm"] = mapped_to # falcon-rw
# Feed-forward up # Feed-forward up
mapped_to = MODEL_TENSOR_NAMES[arch].get(MODEL_TENSOR.FFN_UP, None) mapped_to = MODEL_TENSOR_NAMES[arch].get(MODEL_TENSOR.FFN_UP, None)