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README.md
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README.md
@ -661,9 +661,18 @@ minimind模型本身没有使用较大的数据集训练，也没有针对回答
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# 📌 Acknowledge
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> [!TIP]
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> 如果您觉得 `MiniMind`对您有所帮助，可以在 GitHub 上加一个⭐<br/>
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> 篇幅不短水平有限难免纰漏，欢迎在Issues交流指正或提交PR改进项目<br/>
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> 您的支持就是持续改进项目的动力
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> [!NOTE]
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> 如果您觉得 `MiniMind`对您有所帮助，请在 GitHub 上给一个⭐<br/>
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> 您的支持是我们持续改进项目的动力！篇幅不短水平有限难免纰漏，欢迎在issue交流和指正。
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> 众擎易举。如果您已经尝试训练了新的MiniMind型号，欢迎在Discussions或Issues中分享您的模型权重<br/>
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> 它们可以是在特定下游任务或垂直领域（例如情感识别、医疗、心理、金融、法律问答等）的MiniMind新模型版本<br/>
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> 也可以是经过拓展训练后（例如探索更长文本序列、更大体积（0.1B+）或更大的数据集）的MiniMind新模型版本<br/>
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> 任何分享都视作独一无二的，所有尝试都具有价值，并受到鼓励<br/>
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> 这些贡献都会被及时发现并整理在鸣谢列表中，再次感谢所有支持！
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## 🤝[贡献者](https://github.com/jingyaogong/minimind/graphs/contributors)
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@ -712,6 +721,25 @@ minimind模型本身没有使用较大的数据集训练，也没有针对回答
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<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=jingyaogong/minimind&type=Date"/>
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</picture>
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<details close>
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<summary> <b>参考链接 & 致谢以下优秀的论文或项目</b> </summary>
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- 排名不分任何先后顺序
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- [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)
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- [https://github.com/karpathy/llama2.c](https://github.com/karpathy/llama2.c)
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- [https://github.com/DLLXW/baby-llama2-chinese](https://github.com/DLLXW/baby-llama2-chinese)
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- [(DeepSeek-V2)https://arxiv.org/abs/2405.04434](https://arxiv.org/abs/2405.04434)
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- [https://github.com/charent/ChatLM-mini-Chinese](https://github.com/charent/ChatLM-mini-Chinese)
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- [https://github.com/wdndev/tiny-llm-zh](https://github.com/wdndev/tiny-llm-zh)
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- [(Mistral-MoE)https://arxiv.org/pdf/2401.04088](https://arxiv.org/pdf/2401.04088)
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- [https://github.com/Tongjilibo/build_MiniLLM_from_scratch](https://github.com/Tongjilibo/build_MiniLLM_from_scratch)
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- [https://github.com/jzhang38/TinyLlama](https://github.com/jzhang38/TinyLlama)
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- [https://github.com/AI-Study-Han/Zero-Chatgpt](https://github.com/AI-Study-Han/Zero-Chatgpt)
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- [https://github.com/xusenlinzy/api-for-open-llm](https://github.com/xusenlinzy/api-for-open-llm)
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- [https://github.com/HqWu-HITCS/Awesome-Chinese-LLM](https://github.com/HqWu-HITCS/Awesome-Chinese-LLM)
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</details>
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# License
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This repository is licensed under the [Apache-2.0 License](LICENSE).
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35
README_en.md
35
README_en.md
@ -730,11 +730,18 @@ your model with third-party UIs, such as fastgpt, OpenWebUI, etc.
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# 📌 Acknowledgement
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> [!TIP]
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> If you find `MiniMind` helpful, please give us a ⭐ on GitHub.<br/>
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> Given the length and the limitations of our expertise, there may be errors. We welcome discussions and corrections in the Issues section.<br/>
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> Your support is the driving force behind our continuous improvement of the project!
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> [!NOTE]
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> If you find `MiniMind` helpful, please give us a ⭐️ on GitHub. Your support is the driving force behind our continuous
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> efforts to improve the project! Due to the length and limited expertise, there may be some errors. We welcome any
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> issues
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> for discussion and correction.
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> An individual's resources, energy, and time are limited, so we encourage everyone to participate and contribute collectively. If you have trained model weights, you are welcome to share them in the Discussions or Issues sections.<br/>
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> These models can be new versions of MiniMind tailored for specific downstream tasks or vertical domains (such as sentiment recognition, healthcare, psychology, finance, legal Q&A, etc.).<br/>
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> They can also be new versions of MiniMind models that have undergone extended training, exploring longer text sequences, larger volumes (such as 0.1B+), or more extensive datasets.<br/>
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> Each contribution is unique, and all attempts are valuable and encouraged.<br/>
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> Any shared contributions will be promptly recognized and compiled in the acknowledgments list. Thank you once again for everyone's support!
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## 🤝[Contributors](https://github.com/jingyaogong/minimind/graphs/contributors)
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@ -780,6 +787,26 @@ your model with third-party UIs, such as fastgpt, OpenWebUI, etc.
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<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=jingyaogong/minimind&type=Date"/>
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</picture>
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<details close>
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<summary> <b>Reference Links & Acknowledgments to the Following Excellent Papers or Projects</b> </summary>
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- No specific order
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- [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)
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- [https://github.com/karpathy/llama2.c](https://github.com/karpathy/llama2.c)
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- [https://github.com/DLLXW/baby-llama2-chinese](https://github.com/DLLXW/baby-llama2-chinese)
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- [(DeepSeek-V2)https://arxiv.org/abs/2405.04434](https://arxiv.org/abs/2405.04434)
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- [https://github.com/charent/ChatLM-mini-Chinese](https://github.com/charent/ChatLM-mini-Chinese)
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- [https://github.com/wdndev/tiny-llm-zh](https://github.com/wdndev/tiny-llm-zh)
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- [(Mistral-MoE)https://arxiv.org/pdf/2401.04088](https://arxiv.org/pdf/2401.04088)
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- [https://github.com/Tongjilibo/build_MiniLLM_from_scratch](https://github.com/Tongjilibo/build_MiniLLM_from_scratch)
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- [https://github.com/jzhang38/TinyLlama](https://github.com/jzhang38/TinyLlama)
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- [https://github.com/AI-Study-Han/Zero-Chatgpt](https://github.com/AI-Study-Han/Zero-Chatgpt)
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- [https://github.com/xusenlinzy/api-for-open-llm](https://github.com/xusenlinzy/api-for-open-llm)
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- [https://github.com/HqWu-HITCS/Awesome-Chinese-LLM](https://github.com/HqWu-HITCS/Awesome-Chinese-LLM)
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</details>
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# License
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This repository is licensed under the [Apache-2.0 License](LICENSE).
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