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license: apache-2.0
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license: apache-2.0
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datasets:
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- datajuicer/alpaca-cot-zh-refined-by-data-juicer
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This is a reference LLM from [Data-Juicer](https://github.com/alibaba/data-juicer).
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The model architecture is LLaMA2-7B and we built it upon the a pre-trained Chinese checkpoint from [FlagAlpha](https://huggingface.co/FlagAlpha/Atom-7B).
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The model is fine-trained on 52k Chinese chat samples of Data-Juicer's refined [alpaca-CoT data](https://github.com/alibaba/data-juicer/blob/main/configs/data_juicer_recipes/alpaca_cot/README.md#refined-alpaca-cot-dataset-meta-info).
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It beats LLaMA2-7B fine-tuned on 543k Belle samples in GPT-4 evaluation.
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For more details, please refer to our [paper](https://arxiv.org/abs/2309.02033).
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