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
- [ROCm] DeepSeek-V4-Pro PD Disaggregation through MORI IO KV Connector on AMD GPUs
- [ROCm][Bugfix] Fix Triton W4A16 bug in determining if transpose is required for GPTQ/AutoGPTQ
- [Bug]: Speculative Decoding + Structured Output(tool call)组合下,decode 阶段出现秒级卡顿
- [Feature]: nvfp4 KV cache on SM120 — flashinfer ships the kernels, vLLM isn't wired to them (working prototype, 245K ctx on a 5090)
- [Perf] ~2x decode throughput regression for structured outputs since #45424: apply_grammar_bitmask staging rewrite (bisected to commit, file, and hunk)
- 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
- Docs
- Python not yet supported