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
- [Attention][MLA] Add GLM-5.2 TurboQuant sparse backend with DCP/MTP
- [Bug]: MTP speculative decoding on Qwen3.5-family models logs misleading multimodal warnings ("treated as multimodal but has no registered multimodal processor")
- [Bugfix][Core] Count SWA in-flight KV once per pool, not per request (DeepSeek-V4-Flash-0731 #51041)
- [Bugfix][Hardware][NVIDIA] Fix DSV4 sparse MLA spec-decode shapes on SM120 FlashInfer path
- Fix Responses message store aliasing
- [Bugfix][Frontend] Abort realtime STT on disconnect; harden Anthropic tool JSON
- [Bug]: hybrid Mamba + `--mamba-cache-mode align`: a request near the KV-pool ceiling is admitted, prefilled to 98.9 %, requeued, and re-prefilled forever with zero output tokens and zero preemption accounting
- [Bugfix][Frontend] Keep vLLM MCP x-session-id over client headers
- [Build] Install infiniband-diags for DeepEP v2
- [Doc] Fix diagram rendering in GitHub Markdown
- Docs
- Python not yet supported