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vLLM-Omni 获 5K GitHub Stars，支持 30+ 多模态模型

Official accountvLLM@vllm_project
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Why we picked it

多模态推理开发者终于有了一个统一的高效引擎——vLLM-Omni 支持 30+ 模型和多种硬件，做多模态应用或推理优化的团队可以直接拿来用，省去重复造轮子的时间。

vLLM-Omni 项目在 GitHub 上达到 5000 星标，从去年 11 月社区启动至今，已发展为支持 30 多种多模态模型的高效推理引擎。

Body

它覆盖 Qwen3-Omni、HunyuanImage-3.0、Wan 2.

2、BAGEL、MiMo-Audio 和 Flux2 等模型，并兼容 NVIDIA、AMD、华为昇腾、Intel 等多种硬件。该项目致力于提供可扩展、开源的多模态推理方案，吸引了大量社区贡献。

Original · vLLM

🚀 vLLM-Omni just hit 5K GitHub stars! 🎉

From a community kickoff in November to powering omni-modality inference everywhere: vLLM-Omni supports 30+ models including Qwen3-Omni, HunyuanImage-3.0, Wan 2.2, BAGEL, MiMo-Audio, and Flux2, across NVIDIA, AMD, Huawei Ascend, Intel, and more.

Huge thanks to our amazing community, model partners, and everyone who's contributed a PR, filed an issue, or just given it a try.

Onto the next chapter of efficient, scalable, open multimodal inference.

⭐ https://t.co/JWmNKjhcRX 📚 https://t.co/xiwP0uR8UN

#vLLM #vLLMOmni

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Products" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include vLLM-Omni, 多模态推理, 开源/仓库, 推理引擎.

Source attribution: curated from vLLM (@vllm_project). Cross-source corroboration: 11 independent sources have covered this development (including Sebastian Raschka, NVIDIA AI, Simon Willison’s Weblog), confirming industry-wide signal strength.

  • Sebastian Raschka06-12 04:42Source
  • NVIDIA AI06-12 14:44Source
  • Simon Willison’s Weblog06-10 20:00Source
  • Richard Socher06-11 15:30Source
  • LMSYS Org (SGLang)06-12 14:18Source
  • marktechpost06-10 04:52Source
  • rohanpaul_ai06-10 18:50Source
  • Decoder06-10 19:20Source
  • Ate-a-Pi06-11 02:40Source
  • Together AI06-11 20:04Source
#vLLM-Omni#多模态推理#开源/仓库#推理引擎#GitHub Stars

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