haraldwolff/llama.cpp
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convert : fix tensors using grad in some models (#4173)

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Galunid 2023-11-24 15:02:49 +01:00 committed by GitHub
parent 2568a4bf54
commit 189d68446e
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1 changed files with 14 additions and 13 deletions
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27
convert-hf-to-gguf.py
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@ -880,20 +880,21 @@ print(f"Loading model: {dir_model.name}")
hparams = Model.load_hparams(dir_model)
model_class = Model.from_model_architecture(hparams["architectures"][0])
model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian)
with torch.inference_mode():
model_class = Model.from_model_architecture(hparams["architectures"][0])
model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian)
print("Set model parameters")
model_instance.set_gguf_parameters()
print("Set model parameters")
model_instance.set_gguf_parameters()
print("Set model tokenizer")
model_instance.set_vocab()
print("Set model tokenizer")
model_instance.set_vocab()
if args.vocab_only:
print(f"Exporting model vocab to '{fname_out}'")
model_instance.write_vocab()
else:
print(f"Exporting model to '{fname_out}'")
model_instance.write()
if args.vocab_only:
print(f"Exporting model vocab to '{fname_out}'")
model_instance.write_vocab()
else:
print(f"Exporting model to '{fname_out}'")
model_instance.write()
print(f"Model successfully exported to '{fname_out}'")
print(f"Model successfully exported to '{fname_out}'")