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  <p style="font-size: 40px; font-weight: bold;">Knowledge Fusion of Large Language Models</p>
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- <h4> |<a href="https://arxiv.org/abs/2401.10491"> πŸ“‘ FuseLLM Paper @ICLR2024 </a> | <a href="https://arxiv.org/abs/2408.07990"> πŸ“‘ FuseChat Tech Report </a> | <a href="https://arxiv.org/abs/2412.03187"> πŸ“‘ WRPO Paper @ICLR2025 </a> | <a href="https://huggingface.co/FuseAI"> πŸ€— HuggingFace Repo </a> | <a href="https://github.com/fanqiwan/FuseLLM"> 🐱 GitHub Repo </a> | <a href="https://huggingface.co/blog/Wanfq/fusechat-3"> 🌐 FuseChat-3.0 Blog </a> | <a href="https://huggingface.co/blog/Wanfq/fuseo1-preview"> 🌐 FuseO1-Preview Blog </a> |
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  </h4>
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-
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  <p align="center">
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  <img src="logo.png" width="60%"> <br>
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  </p>
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  url={https://openreview.net/forum?id=fq24pEb8SL}
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  }
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  ```
 
 
 
 
 
 
 
 
 
 
 
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  <p style="font-size: 40px; font-weight: bold;">Knowledge Fusion of Large Language Models</p>
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+ <h4> |<a href="https://arxiv.org/abs/2401.10491"> πŸ“‘ FuseLLM Paper @ICLR2024 </a> | <a href="https://arxiv.org/abs/2408.07990"> πŸ“‘ FuseChat Tech Report </a> | <a href="https://arxiv.org/abs/2412.03187"> πŸ“‘ WRPO Paper @ICLR2025 </a> | <a href="https://arxiv.org/pdf/2503.04222"> πŸ“‘ FuseChat-3.0 Tech Report </a> | <a href="https://huggingface.co/FuseAI"> πŸ€— HuggingFace Repo </a> | <a href="https://github.com/fanqiwan/FuseLLM"> 🐱 GitHub Repo </a> | <a href="https://huggingface.co/blog/Wanfq/fuseo1-preview"> 🌐 FuseO1-Preview Blog </a> |
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  </h4>
 
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  <p align="center">
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  <img src="logo.png" width="60%"> <br>
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  </p>
 
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  url={https://openreview.net/forum?id=fq24pEb8SL}
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  }
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  ```
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+
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+ Please cite the following paper if you reference our model, code, data, or paper related to FuseChat-3.0.
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+ ```
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+ @article{yang2025weightedreward,
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+ title={FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion},
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+ author={Ziyi Yang and Fanqi Wan and Longguang Zhong and Canbin Huang and Guosheng Liang and Xiaojun Quan},
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+ journal={arXiv preprint arXiv:2503.04222},
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+ year={2025},
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+ }
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+ ```