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
- [Feature][Observability][Frontend]: Propagate OpenTelemetry Spans to IOProcessor for Custom Sub-Span Creation
- [Bugfix] Handle FileNotFoundError in reasoning_config.initialize_toke…
- [Feature] Add batch invariance support to GDN_ATTN backend
- [Refactor] Make Int8ScaledMMLinearLayerConfig use QuantKey
- fix: Correct unpickling for DeepSeek V3.2 tokenizer wrapper (closes #44949)
- [RFC][Core][Model] Voxtral realtime: unbounded-duration streaming via RoPE re-anchoring (experimental, default-off)
- docs: multi-server vLLM deployment issues and solutions
- [BugFix] Add kimi_k2 to MLA allowlist for EAGLE3 draft model detection
- [Bug]: MiniMax-M3-MXFP8 hangs on FlashInfer MNNVL all-reduce (torch symmetric_memory rendezvous) during CUDA graph capture on 2-node TP=8 non-MNNVL setup; fuse_allreduce_rms=False does not help
- [Metrics] Add Prometheus metrics for LoRA adapter cache observability
- Docs
- Python not yet supported