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README.md
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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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| 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](https://huggingface.co/golaxy/gogpt-3b) |
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| gogpt-7b | 70亿参数 | 🤗[golaxy/gogpt-7b](https://huggingface.co/golaxy/gogpt-7b) |
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## 测试效果
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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大佬-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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(base) [searchgpt@worker2 output-bloom-7b]$ cat README.md ^C
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(base) [searchgpt@worker2 output-bloom-7b]$ vim README.md
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(base) [searchgpt@worker2 output-bloom-7b]$ cat README.md
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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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基于中文指令数据微调BLOOM
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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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- [@hz大佬-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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- 🚀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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- [@hz大佬-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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