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AmazingCA-7B-QLoRA

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@@ -7,7 +7,7 @@ trained on the 134K Japanese dataset.
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  It doesn't contain the foundation model itself, so it's Apache 2.0 licensed.
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  You can try it here.
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- [colab notebook](https://colab.research.google.com/gist/kam0sika/5aebcc85163abda8ea9a6a4f96b74778/amazingca_generate.ipynb)
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  QLoRA finetuning code is here.
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  [colab notebook](https://colab.research.google.com/gist/kam0sika/bacc7019f5f11833531e1520178381a8/finetune_calm_qlora.ipynb)
 
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  It doesn't contain the foundation model itself, so it's Apache 2.0 licensed.
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  You can try it here.
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+ [colab notebook](https://colab.research.google.com/gist/kam0sika/380db89c90f2a19eca1d28d79fee7c92/amazingca_generate.ipynb)
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  QLoRA finetuning code is here.
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  [colab notebook](https://colab.research.google.com/gist/kam0sika/bacc7019f5f11833531e1520178381a8/finetune_calm_qlora.ipynb)