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Knowledge Fusion of Large Language Models

| 📑 FuseLLM Paper @ICLR2024 | 🤗 HuggingFace Repo | 🐱 GitHub Repo |


## FuseAI FuseAI is an open-source research community focused on model fusion topics. The community members currently applying model fusion on Foundation and Chat LLMs, with future plans to fuse Agent/MoE LLMs. Welcome to join us! ## News ### FuseLLM [Surpassing Llama-2-7B] - **Jan 22, 2024:** 🔥 We release [FuseLLM-7B](https://huggingface.co/Wanfq/FuseLLM-7B), which is the fusion of three open-source foundation LLMs with distinct architectures, including [Llama-2-7B](https://huggingface.co/meta-llama/Llama-2-7b-hf), [OpenLLaMA-7B](https://huggingface.co/openlm-research/open_llama_7b_v2), and [MPT-7B](https://huggingface.co/mosaicml/mpt-7b). | Model | BBH | ARC-easy | ARC-challenge | BoolQ | HellaSwag | OpenBookQA | |----------------------------------------------------------|-------|----------|---------------|-------|-----------|------------| | OpenLLaMA-7B | 33.87 | 69.70 | 41.38 | 72.29 | 74.53 | 41.00 | | MPT-7B | 33.38 | 70.12 | 42.15 | 74.74 | 76.25 | 42.40 | | Llama-2-7B | 39.70 | 74.58 | 46.33 | 77.71 | 76.00 | 44.20 | | Llama-2-CLM-7B | 40.44 | 74.54 | 46.50 | 76.88 | 76.57 | 44.80 | | 🤗 [FuseLLM-7B](https://huggingface.co/Wanfq/FuseLLM-7B) | 41.75 | 75.04 | 47.44 | 78.13 | 76.78 | 45.40 | | Model | MultiPL-E | TrivialQA | DROP | LAMBADA | IWSLT2017 | SciBench | |----------------------------------------------------------|-----------|-----------|-------|---------|-----------|----------| | OpenLLaMA-7B | 18.11 | 39.96 | 22.31 | 70.31 | 5.51 | 0.68 | | MPT-7B | 17.26 | 28.89 | 23.54 | 70.08 | 5.49 | 0.88 | | Llama-2-7B | 14.63 | 52.46 | 27.25 | 73.28 | 6.48 | 0.14 | | Llama-2-CLM-7B | 14.83 | 53.14 | 28.51 | 73.45 | 6.91 | 0.94 | | 🤗 [FuseLLM-7B](https://huggingface.co/Wanfq/FuseLLM-7B) | 15.56 | 54.49 | 28.97 | 73.72 | 6.75 | 1.65 | ## Citation Please cite the following paper if you reference our model, code, data, or paper related to FuseLLM. ``` @inproceedings{wan2024knowledge, title={Knowledge Fusion of Large Language Models}, author={Fanqi Wan and Xinting Huang and Deng Cai and Xiaojun Quan and Wei Bi and Shuming Shi}, booktitle={The Twelfth International Conference on Learning Representations}, year={2024}, url={https://openreview.net/pdf?id=jiDsk12qcz} } ```