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Create README.md

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+ ---
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+ license: openrail
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+ datasets:
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+ - JosephusCheung/GuanacoDataset
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+ language:
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+ - en
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+ - zh
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+ - ja
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+ ---
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+
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+ # Guanaco: A Multilingual Instruction-Following Language Model Based on LLaMA 7B
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+
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+ This model is trained with modified [alpaca-lora](https://github.com/tloen/alpaca-lora) with lora + embed_tokens + lm_head be trained.
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+
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+ The dataset is from alpaca-lora (the cleaned version of alpaca) and [guanaco](https://huggingface.co/datasets/JosephusCheung/GuanacoDataset).
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+ With trained embed and head, the model perform better at Chinese and Japanese then original LLaMA, and with instruction based prompt. You can use this model more easily.
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+
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+ Since this model is trained by guanaco dataset, you can also use this as chatbot. just use this format:
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+ ```
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+ ### Instruction:
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+ User: xxx
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+ Assistant: yyy
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+
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+ ### Response:
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+ System: <System response for next message, optional>
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+ User: <Next message>
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+ ```
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+
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+ **Tips: I just removed the first line of original prompt to reduce token comsumption, plz consider remove it when you want to use this model**