[quantization] Resolve bugs and warnings in example script#546
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mhs4670go merged 1 commit intoSamsung:mainfrom Mar 10, 2026
Merged
[quantization] Resolve bugs and warnings in example script#546mhs4670go merged 1 commit intoSamsung:mainfrom
mhs4670go merged 1 commit intoSamsung:mainfrom
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This commit resolves bugs and warnings in example sciprts. TICO-DCO-1.0-Signed-off-by: seongwoo <mhs4670go@naver.com>
mhs4670go
commented
Mar 10, 2026
| from tico.utils.utils import SuppressWarning | ||
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| name = "meta-llama/Llama-3.2-1B-Instruct" | ||
| name = "Maykeye/TinyLLama-v0" |
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I accidentally changed this part of code before.
| args.model, | ||
| trust_remote_code=args.trust_remote_code, | ||
| token=args.hf_token, | ||
| legacy=False, |
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This resolves following warning.
You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message.
| AutoModelForCausalLM.from_pretrained( | ||
| args.model, | ||
| torch_dtype=dtype, | ||
| dtype=dtype, |
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This resolves following warning.
`torch_dtype` is deprecated! Use `dtype` instead!
| return {m: n for n, m in root.named_modules()} | ||
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| def extract_tensor(output: Any) -> Optional[torch.Tensor]: |
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To extract tensors from transformers.modeling_outputs.BaseModelOutputWithPast.
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This commit resolves bugs and warnings in example sciprts.
TICO-DCO-1.0-Signed-off-by: seongwoo mhs4670go@naver.com