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
- fix(v1): avoid false shutdown failures on clean exit
- fix: handle missing parent modules in _has_module
- [Perf] Add per-phase cold-start startup span benchmark harness
- Make `load_weights` completely optional
- [Perf][MRV2] use FlashInfer AIR for for top-p rejection sampling
- [Test] e2e hybrid-Mamba prefix-cache corruption regression tests (#43559)
- [Bug]: DBRX MoE weight loading crashes with KeyError after FusedMoE/MoERunner inversion refactor (#41184) — dbrx.py missed by follow-up fix #45054
- [Bug]: XQA decode under FULL cudagraph capture silently corrupts attention output (fp8 and nvfp4 KV)
- [Bug]: VLLM_MARLIN_INPUT_DTYPE=int8 silently ignored for auto-round (INC) checkpoints
- [Kernel][Helion] Add numerics checks to benchmark script
- Docs
- Python not yet supported