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JessyTsui authored Jan 11, 2024
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## ❤️ Acknowledgments

[LLaMA-Efficient-Tuning](https://github.com/hiyouga/LLaMA-Factory/): A standardized LLM end-to-end training solution.
- **[LLaMA-Efficient-Tuning](https://github.com/hiyouga/LLaMA-Factory/)**: A standardized LLM end-to-end training solution.

[魔搭ModelScope](https://modelscope.cn/studios/FarReelAILab/Machine_Mindset): Special thanks to Professor ChengChen for tirelessly working overtime to migrate all models for us and debug the model running demos. 🌟
- **[魔搭ModelScope](https://modelscope.cn/studios/FarReelAILab/Machine_Mindset)**: Special thanks to Professor ChengChen for tirelessly working overtime to migrate all models for us and debug the model running demos. 🌟

[HuggingFace](https://huggingface.co/spaces/FarReelAILab/Machine_Mindset): We appreciate their model hosting and community support. 👏
- **[HuggingFace](https://huggingface.co/spaces/FarReelAILab/Machine_Mindset)**: We appreciate their model hosting and community support. 👏

[OpenXLab](https://openxlab.org.cn/usercenter/FarReelAILab?vtab=create&module=models): Thanks to their inference computing power and community support. 💪
- **[OpenXLab](https://openxlab.org.cn/usercenter/FarReelAILab?vtab=create&module=models)**: Thanks to their inference computing power and community support. 💪

[ChatLaw](https://github.com/PKU-YuanGroup/ChatLaw): Gratitude to the ChatLaw team for providing efficient and clean data processing approaches, as well as their rich engineering expertise. 🙏
- **[ChatLaw](https://github.com/PKU-YuanGroup/ChatLaw)**: Gratitude to the ChatLaw team for providing efficient and clean data processing approaches, as well as their rich engineering expertise. 🙏



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