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
- [Quant] Manual fusion for static FP8 attention output quant
- fix(turboquant): use SDPA prefill fallback on pre-Ampere GPUs
- [Kernel] Add prepared-input fast path with MiniMax-M2 top-k/act quant fusion
- [Bugfix] Expand YAML config when passed as `--config=<path>`
- [Bugfix][ROCm][P/D][MoRIIO] Read-mode KV-release + best_of_n fixes
- [Core][MoE] Add per-activation supports_swiglu_clamp_limit interface
- [Feature] Add Gumiho speculative decoding method
- [Feature]Support Sequence Parallel (SP) for qwen3_vl
- [Core][Bugfix] Roll back eager prefix-cache registration on uncommitted free
- [Test][V1] Add unit tests for parallel sampling metrics
- Docs
- Python not yet supported