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]: NVFP4 KV writes V block scales in the SM100 trtllm-gen swizzle unconditionally, silently corrupting the SM120 FlashInfer XQA route
- Codex/kimi k3 dspark pp
- [Bugfix][KV Offload] Protect unread promotions from eviction by other speculative promotions
- [Refactor][PCP] Make PCPManager construction extensible
- [Performance] Measure Transformers backend startup time vs native
- [Model] Add native RWKV7 serving, fused execution, and quantization
- [Bugfix] Bound two num_accepted-derived indices in the GDN spec-decode path (MTP + hybrid GDN CUDA illegal access)
- [CI] Shut down EngineCore explicitly in dynamic shapes compilation tests
- fix(cli): include inherited field docstrings in get_attr_docs
- benchmarks: add speculative decoding analysis script
- Docs
- Python not yet supported