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  # Traditional Chinese Llama2
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- - github repo: https://github.com/MIBlue119/traditional_chinese_llama2/
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- Practice to finetune Llama2 on traditional chinese instruction dataset at Llama2 chat model.
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- I use qlora and the alpaca translated dataset to finetune llama2-7b model at rtx3090(24GB VRAM) with 9 hours.
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  Thanks for these references:
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  - NTU NLP Lab's alapaca dataset: [alpaca-tw_en-align.json](./alpaca-tw-en-align.json): [ntunpllab](https://github.com/ntunlplab/traditional-chinese-alpaca) translate Stanford Alpaca 52k dataset
 
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  # Traditional Chinese Llama2
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+ - Github repo: https://github.com/MIBlue119/traditional_chinese_llama2/
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+ - This is a practice to finetune Llama2 on traditional chinese instruction dataset at Llama2 chat model.
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+ - Use qlora and the alpaca translated dataset to finetune llama2-7b model at rtx3090(24GB VRAM) with 9 hours.
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  Thanks for these references:
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  - NTU NLP Lab's alapaca dataset: [alpaca-tw_en-align.json](./alpaca-tw-en-align.json): [ntunpllab](https://github.com/ntunlplab/traditional-chinese-alpaca) translate Stanford Alpaca 52k dataset