Fix autoawq gemma convert #6704
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using autoawq to quantize gemma model will include a lm_head.weight tensor in model-00001-of-00002.safetensors. it result in this situation that convert-hf-to-gguf.py can't map lm_head.weight. skip loading this tensor could prevent this error.
ggerganov
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Apr 16, 2024
convert-hf-to-gguf.py
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| if "lm_head.weight" in name: | ||
| continue |
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Let's change this to full string match and also print a short message that the tensor is being skipped
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change code to full string match and print a short message to inform users that lm_head.weight has been skipped.
tybalex
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Apr 17, 2024
* fix autoawq quantized gemma model convert error using autoawq to quantize gemma model will include a lm_head.weight tensor in model-00001-of-00002.safetensors. it result in this situation that convert-hf-to-gguf.py can't map lm_head.weight. skip loading this tensor could prevent this error. * change code to full string match and print necessary message change code to full string match and print a short message to inform users that lm_head.weight has been skipped. --------- Co-authored-by: Zheng.Deng <[email protected]>
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when using autoawq to quantize gemma-2b-it model, output model-00001-of-00002.safetensors will include lm_head.weight, this pr could prevent convert error happening in
python convert-hf-to-gguf.py ${quantized_path} --outfile model.gguffix #6633