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
- [Bug]: Streaming vs non-streaming content whitespace mismatch at tool-call boundaries (ParserEngine: qwen3/nemotron_v3/seed_oss/glm47_moe/gemma4)
- [Docs] Clarify ASR audio chunking is non-overlapping
- [Feature]: Support for GLM-5.2 NVFP4 on NVIDIA RTX PRO 6000 (SM120 Architecture)
- [Draft][Bugfix][Parser] Strip content whitespace at tool-call boundaries in streaming to match non-streaming
- [Draft] Simplify encoder cuda graph implementation
- Fix speculative drafter access on non-final pipeline parallel ranks
- Fix PP sampled token broadcast for speculative decoding
- [Feature]: Re-enable `TRITON_UNFUSED` MXFP4 MOE backend
- [Perf][Model Loader] Reload layout-identical weights directly
- [Bug]: StructuredOutputManager sizes grammar-compile ThreadPoolExecutor by host CPU count — cgroup-unaware and uncapped, causing CFS throttling and decode stalls on Kubernetes
- Docs
- Python not yet supported