transformers==4.37, yi & yuan2 & vicuna #11805
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ada-jt1725
commented
Aug 15, 2024
ada-jt1725
commented
- added sample output for yi & vicuna
- updated vicuna example model to 7b-v1.5 & 13b-v1.5
- added yi-6b-chat model to yi
ada-jt1725
changed the title
rnwang04
reviewed
Aug 15, 2024
| #### [lmsys/vicuna-13b-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5) | ||
| ```log | ||
| Inference time: xxxx s | ||
| Inference time: 1.0269405841827393 s |
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Don't show real performance data in our example, just keep Inference time: xxxx s.
| #### [eachadea/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5) | ||
| ```log | ||
| Inference time: xxxx s | ||
| Inference time: 0.7162051200866699 s |
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just keep Inference time: xxxx s.
| In the example, several arguments can be passed to satisfy your requirements: | ||
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| - `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the Yi model (e.g. `01-ai/Yi-6B`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'01-ai/Yi-6B'`. | ||
| - `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the Yi model (e.g. `01-ai/Yi-6B`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'01-ai/Yi-6B-Chat'`. |
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(e.g. 01-ai/Yi-6B and 01-ai/Yi-6B-Chat)
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| ```log | ||
| Inference time: xxxx s | ||
| Inference time: 1.1255202293395996 s |
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just keep Inference time: xxxx s.
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| #### [01-ai/Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat) | ||
| ```log | ||
| Inference time: 0.5318927764892578 s |
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just keep Inference time: xxxx s.
| if __name__ == '__main__': | ||
| parser = argparse.ArgumentParser(description='Predict Tokens using `generate()` API for Yi model') | ||
| parser.add_argument('--repo-id-or-model-path', type=str, default="01-ai/Yi-6B", | ||
| parser.add_argument('--repo-id-or-model-path', type=str, default="/home/arda/jinhe/Yi-6B-Chat", |
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default="01-ai/Yi-6B-Chat"
rnwang04
reviewed
Aug 15, 2024
| if __name__ == '__main__': | ||
| parser = argparse.ArgumentParser(description='Predict Tokens using `generate()` API for Yi model') | ||
| parser.add_argument('--repo-id-or-model-path', type=str, default="01-ai/Yi-6B", | ||
| parser.add_argument('--repo-id-or-model-path', type=str, default="/01-ai/Yi-6B-Chat", |
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default="01-ai/Yi-6B-Chat"
rnwang04
reviewed
Aug 15, 2024
| from ipex_llm.transformers import AutoModelForCausalLM | ||
| from transformers import AutoTokenizer | ||
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| # Refer to https://huggingface.co/01-ai/Yi-6B-Chat#31-use-the-chat-model |
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