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
- [Fix] Support heterogeneous models (Gemma 4 / Qwen) failing with AmbiguousGlobalPerLayerAttributeError
- [Bugfix][Core] Align hybrid block sizes across PP stages
- EAGLE/MTP block drop + prefix caching is untested for hybrid models with ≥3 attention groups (DeepSeek-V4-Flash + DSpark lands there)
- [Bug]: Kimi-K3-NVFP4 on 8xB300 produces degenerate, incoherent output in the reasoning channel on v0.27.0
- [XPU][CI] Fix ExampleConnector KV cache device selection
- [Bugfix] Route Step3p5 forced tool choices through XML parser
- fix(v1): decouple async Mamba align D2H counts from InputBatch row shifts (#51571)
- [Hardware][Power] Unqualized MoE Backend for Power (VSX)
- Bump Transformers version to 5.15.0
- [Bug]: qwen3_xml tool parser consumes `</think>`, merging reasoning into `content` with no way to split it
- Docs
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