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
- [Quant][Prototype] Manual fusion AR+RMS+Quant
- bench: add --disable-thinking and --extra-request-body to benchmark_serving_multi_turn
- [Bugfix][Frontend][Gemma4] Replay empty thought-channel primer on historical assistant turns
- Fix async KV loads counting toward scheduler request limit
- Add extra request body for multi-turn benchmark
- [Kernel][ROCm] Add MI300 fused MXFP4 SwiGLU stage-1 fast path for gpt…
- [kernel][moe] Optimize moeTopK with top-2-per-iteration fast path
- [Dist]support for NCCL’s new shrink and grow features.
- [LoRA] Remove engine-side adapter on runtime unload
- [LMCache Connector] skip remote KV lookup when local prefix hit is sufficient
- Docs
- Python not yet supported