{
 "id": "LanguageBind/MoE-LLaVA",
 "owner": "LanguageBind",
 "name": "MoE-LLaVA",
 "downloads": 242,
 "likes": 12,
 "last_modified": "2025-03-07T14:04:56.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
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 "citation": "If you find our paper and code useful in your research, please consider giving a star :star: and citation :pencil:.\n\n```BibTeX\n@misc{lin2024moellava,\n      title={MoE-LLaVA: Mixture of Experts for Large Vision-Language Models}, \n      author={Bin Lin and Zhenyu Tang and Yang Ye and Jiaxi Cui and Bin Zhu and Peng Jin and Junwu Zhang and Munan Ning and Li Yuan},\n      year={2024},\n      eprint={2401.15947},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV}\n}\n```\n\n```BibTeX\n@article{lin2023video,\n  title={Video-LLaVA: Learning United Visual Representation by Alignment Before Projection},\n  author={Lin, Bin and Zhu, Bin and Ye, Yang and Ning, Munan and Jin, Peng and Yuan, Li},\n  journal={arXiv preprint arXiv:2311.10122},\n  year={2023}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "ba025fab87ce22c6ca683d9b2993bf13d42d54ed",
 "stated_evidence": "https://huggingface.co/datasets/LanguageBind/MoE-LLaVA/blob/ba025fab87ce22c6ca683d9b2993bf13d42d54ed/README.md",
 "file_evidence": "https://huggingface.co/datasets/LanguageBind/MoE-LLaVA/tree/ba025fab87ce22c6ca683d9b2993bf13d42d54ed",
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}