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Update gguf_tensor_map.py

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klosax 2023-08-11 23:08:48 +02:00 committed by GitHub
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commit 2a5ac7af44
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1 changed files with 8 additions and 8 deletions
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gguf_tensor_map.py
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@ -26,15 +26,15 @@ def get_tensor_map( n_blocks : int):
tensor_map["output"] = mapped_to # llama-pth
# Attention and fee-forward layer blocks
for i in range(0,n_blocks):
# Attention norm 1
mapped_to = "transformer.blocks."+str(i)+".attn_norm_1"
# Attention norm
mapped_to = "transformer.blocks."+str(i)+".attn_norm"
tensor_map["gpt_neox.layers."+str(i)+".input_layernorm"] = mapped_to # gptneox
tensor_map["transformer.h."+str(i)+".ln_1"] = mapped_to # gpt2
tensor_map["transformer.blocks."+str(i)+".norm_1"] = mapped_to # mpt
tensor_map["transformer.h."+str(i)+".input_layernorm"] = mapped_to # falcon7b
tensor_map["transformer.h."+str(i)+".ln_attn"] = mapped_to # falcon40b
tensor_map["model.layers."+str(i)+".input_layernorm"] = mapped_to # llama-hf
tensor_map["layers."+str(i)+".attention_norm"] = mapped_to # llama-pth
tensor_map["transformer.h."+str(i)+".ln_1"] = mapped_to # gpt2
tensor_map["transformer.blocks."+str(i)+".norm_1"] = mapped_to # mpt
tensor_map["transformer.h."+str(i)+".input_layernorm"] = mapped_to # falcon7b
tensor_map["transformer.h."+str(i)+".ln_attn"] = mapped_to # falcon40b
tensor_map["model.layers."+str(i)+".input_layernorm"] = mapped_to # llama-hf
tensor_map["layers."+str(i)+".attention_norm"] = mapped_to # llama-pth
# Attention norm 2
mapped_to = "transformer.blocks."+str(i)+".attn_norm_2"
tensor_map["transformer.h."+str(i)+".ln_mlp"] = mapped_to # falcon40b