[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10717":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":45,"readmeContent":46,"aiSummary":47,"trendingCount":16,"starSnapshotCount":16,"syncStatus":17,"lastSyncTime":48,"discoverSource":49},10717,"mPLUG-Owl","X-PLUG\u002FmPLUG-Owl","X-PLUG","mPLUG-Owl: The Powerful Multi-modal Large Language Model  Family","https:\u002F\u002Fwww.modelscope.cn\u002Fstudios\u002Fdamo\u002FmPLUG-Owl",null,"Python",2542,190,27,99,0,2,3,1,28.84,"MIT License",false,"main",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"alpaca","chatbot","chatgpt","damo","dialogue","gpt","gpt4","gpt4-api","huggingface","instruction-tuning","large-language-models","llama","mplug","mplug-owl","multimodal","pretraining","pytorch","transformer","video","visual-recognition","2026-06-12 02:02:25","\u003Cdiv align=\"center\">\n\n\u003Ch2>mPLUG-Owl: The Powerful MLLM Family\u003C\u002Fh2>\n\n\u003C\u002Fdiv>\n\n\u003C!--![summary_tab](https:\u002F\u002Fz1.ax1x.com\u002F2023\u002F11\u002F03\u002FpiM1rGQ.md.png)!-->\n![summary_tab](https:\u002F\u002Fpicx.zhimg.com\u002F70\u002Fv2-0c20dc670d9a55c03fb8d7b253ebfe1d_1440w.avis?source=172ae18b&biz_tag=Post)\n\n\n\n- [**mPLUG-Owl**](mPLUG-Owl) (Arxiv 2023) - mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality\n\n- [**mPLUG-Owl2**](mPLUG-Owl2) (Arxiv 2023) - mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration\n\n- [**mPLUG-Owl3**](mPLUG-Owl3) (Arxiv 2024) - mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models\n\n## News and Updates\n* ```2024.08.12``` 🔥🔥🔥 We release **mPLUG-Owl3**. The source code and weights are avaliable at [HuggingFace](https:\u002F\u002Fhuggingface.co\u002FmPLUG\u002FmPLUG-Owl3-7B-240728).\n* ```2024.04.05``` **mPLUG-Owl2** is accepted by CVPR 2024 as a Highlight.\n* ```2024.02.01``` We relaese **mPLUG-Owl2.1**, a Chinese enhanced version of mPLUG-Owl2. The weight is available at [HuggingFace](https:\u002F\u002Fhuggingface.co\u002FMizukiluke\u002Fmplug_owl_2_1).\n\n## License\n\nThe content of this project itself is licensed under [LICENSE](LICENSE).\n\n\n## Misc\n\n\u003Cdiv align=\"center\">\n\n[![Stargazers repo roster for @X-PLUG\u002FmPLUG-Owl](https:\u002F\u002Freporoster.com\u002Fstars\u002FX-PLUG\u002FmPLUG-Owl)](https:\u002F\u002Fgithub.com\u002FX-PLUG\u002FmPLUG-Owl\u002Fstargazers)\n\n[![Forkers repo roster for @X-PLUG\u002FmPLUG-Owl](https:\u002F\u002Freporoster.com\u002Fforks\u002FX-PLUG\u002FmPLUG-Owl)](https:\u002F\u002Fgithub.com\u002FX-PLUG\u002FmPLUG-Owl\u002Fnetwork\u002Fmembers)\n\n[![Star History Chart](https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=X-PLUG\u002FmPLUG-Owl&type=Date)](https:\u002F\u002Fstar-history.com\u002F#X-PLUG\u002FmPLUG-Owl&Date)\n\n\u003C\u002Fdiv>\n","mPLUG-Owl 是一个强大的多模态大型语言模型家族，旨在通过模块化设计将多种模态数据（如文本、图像和视频）整合进单一模型中。该项目采用PyTorch框架构建，并基于Transformer架构进行预训练与指令调优，支持包括视觉识别在内的多种任务。其核心优势在于能够处理跨模态信息，促进不同形式的数据间协作学习，从而提升对话系统、聊天机器人等应用场景下的交互体验。mPLUG-Owl系列模型适合需要综合理解及生成多类型内容的场景，比如智能客服、教育辅助工具以及创意内容生成平台等。","2026-06-11 03:29:50","top_topic"]