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][MRV2] Support encoder timing stats in model runner V2
- [Bug]: get_open_port() hangs forever when VLLM_PORT falls inside the data parallel reserved port range
- Fix/granitemoe fp8 split experts rebased
- Add timeout enforcement to wait_for_engine_startup
- fix(metrics): add graceful fallback for MultiProcessCollector initialization failure
- [Bug]: Qwen3.5/Qwen3-Next GDN attention crashes at warmup with torch.compile stride mismatch (expected size 3==3, stride 4097==512) — recurrence of #29014 on splitting_ops boundary
- [Misc][Docs] Add comprehensive Responses API documentation and unit tests
- warmup: surface async CUDA errors on GB10 (sm_121) by adding explicit synchronize points
- [Feature]: Kimi K3 DSpark Pipeline Parallelism
- [Usage]: It seems that there is no kimi-k3-cu129 docker.
- Docs
- Python not yet supported