vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bugfix] Add support for SWA draft models in speculative decoding
- [Bug]: MiniMax-M3 reasoning tokens still leak into `content` on v0.26.0 and current main
- [New Model]: tencent/Hy-MT2-30B-A3B
- ## [Model][GDN] Add prefix caching support for 'all' mode in Qwen3.5
- fix(attention): add SM121 (GB10) support for sparse MLA backends (#45…
- [Bugfix][Model] Fix Qwen3-Omni crash when audio and image coexist in interleaved path
- [Model] Enable tower/connector LoRA for Qwen2-Audio via a native audio encoder
- [Bugfix][Kernel][ROCm] Fix Wave32 LDS overflow in top-k merge launch
- [Bug]: [quantization] The Qwen3 4B model quantized for vLLM inference encounters errors.
- fix: update engine_kwargs for DeepSeek-V4-Pro compatibility in Ray example (closes #44949)
- Docs
- Python not yet supported