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--- |
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license: apache-2.0 |
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datasets: |
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- BelleGroup/train_2M_CN |
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- BelleGroup/train_3.5M_CN |
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- BelleGroup/train_1M_CN |
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- BelleGroup/train_0.5M_CN |
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- BelleGroup/school_math_0.25M |
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language: |
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- zh |
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--- |
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## GoGPT |
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基于多样性中文指令数据微调的中文BLOOM底座模型 |
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![img.png](resources/img.png) |
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> 训练第一轮足够了,后续第二轮和第三轮提升不大 |
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- 🚀多样性指令数据 |
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- 🚀筛选高质量中文数据 |
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| 模型名字 | 参数量 | 模型地址 | |
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|------------|--------|------| |
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| gogpt-560m | 5.6亿参数 | 🤗[golaxy/gogpt-560m](https://huggingface.co/golaxy/gogpt-560m) | |
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| gogpt-3b | 30亿参数 | 🤗[golaxy/gogpt-3b-bloom](https://huggingface.co/golaxy/gogpt-3b-bloom) | |
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| gogpt-7b | 70亿参数 | 🤗[golaxy/gogpt-7b-bloom](https://huggingface.co/golaxy/gogpt-7b-bloom) | |
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## 测试效果 |
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![img.png](resources/test1.png) |
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![img.png](resources/test2.png) |
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![img.png](resources/test3.png) |
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![img.png](resources/test4.png) |
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![img.png](resources/test5.png) |
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![img.png](resources/test6.png) |
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## TODO |
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- 进行RLFH训练 |
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- 后续加入中英平行语料 |
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## 感谢 |
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- [@hz-zero_nlp](https://github.com/yuanzhoulvpi2017/zero_nlp) |
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- [stanford_alpaca](https://github.com/tatsu-lab/stanford_alpaca) |
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- [Belle数据](https://huggingface.co/BelleGroup) |
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## Citation |
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如果你在研究中使用了GoGPT,请按如下格式引用: |
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``` |
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@misc{GoGPT, |
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title={GoGPT: Training Medical GPT Model}, |
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author={Qiang Yan}, |
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year={2023}, |
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howpublished={\url{https://github.com/yanqiangmiffy/GoGPT}}, |
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} |
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``` |