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][KV Offload] Offload align-mode Mamba state at hash-block granularity under MTP/EAGLE
- [Bug]: TP=1 silent engine wedge on Qwen3.8 GDN-hybrid MoE (MTP4, NVFP4-KV, FlashInfer, SM120) — frozen generation counter, running>0 waiting=0, health 200, no self-recovery on v0.27.2rc1.dev77
- [Feature]: instruction-preserving truncation for `/v1/chat/completions`, and document `truncate_prompt_tokens` semantics
- [CI] Update stale branches before committer `/ci run`
- [Bugfix][Frontend] Preserve DeepSeek's unclosed final tool parameter
- [Bugfix] DiffusionGemma: `diffusion_samples` to fan one seeded canvas out into n noise draws
- [Bug]: Qwen4Exp PinnedHost PLE prefetch reads n-gram ids from graph-pool memory that later segments reuse
- [Spec Decode][Qwen3.8] Enable fused draft metadata updates for the QSA side cache
- [GLM5.3 Perf] Optimize glm 5.3 metadata op, 1.6~4.8x kernel level performance improvement
- [Bugfix][GLM-5.3-Flash] kpool corruption with speculative decoding
- Docs
- Python not yet supported