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
- [ZenCPU][CI] Zen5 image build reuse cpu
- [RFC]: Extended online quantization roadmap
- [Bugfix] Propagate fatal EngineCore shutdown
- [Feature]: FA2 is only supported on devices with compute capability >= 8
- [Core] Update PyTorch to 2.14.1, torchvision to 0.29.1, triton to 3.8.0 (release channel)
- [sharded state loader] support pp in sharded state loader
- [Bug][ROCm/gfx942]: GLM-5.2-FP8 — first request after GPU idle emits garbage; piecewise CUDA graph cold replay corrupts the request's own prefill (workaround: cudagraph_mode=FULL_DECODE_ONLY)
- [Structured Output] Pass model EOS ids to xgrammar tokenizer info
- [Bugfix][Structured Outputs] Reject empty JSON schemas
- [Feature] Add native forward-pass metrics emission
- Docs
- Python not yet supported