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][Sampler] Stabilize standalone Triton top-p normalization
- [Perf][GDN] Reuse prefill lengths and fuse FlashInfer gate conversion
- docs(nixl): document metrics aggregation semantics across TP ranks (#41230)
- [Security] Fall back to eager when encoder CUDA graph replay exceeds capture
- [Core][NIXL] Transfer KV between different P/D KV cache group plans
- [Bug]: GLM-5.3-Flash NVFP4 on B300: CUDA illegal access persists with MTP disabled; blocking/eager reports persistent_topk
- [Bugfix][Attention] Demote CG support to UNIFORM_BATCH with varlen bound for MLA and KDA
- [Frontend][Metrics] Count requests cancelled by client disconnect
- [Feature]: Reload speculative draft model weights from a new checkpoint at runtime (online speculator updates)
- [Spec Decode] Add reload_draft_weights to hot-swap an updated draft model
- Docs
- Python not yet supported