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
- [Attention][TurboQuant] Optimize k8v4 decode attention with GQA head grouping
- [Attention] Enable TRITON_MLA MTP full CUDA graphs for Kimi on Blackwell
- [CI/Build] Make opencv-python-headless an optional dependency
- [RFC][vLLM IR]: Batch Invariance Dispatching in vLLM IR
- [Bugfix] Fix Triton compile crash in penalties kernel on sm_89
- [MM][Perf][CG] Support ViT full cudagraphs for mllama4
- [Core][KV] Retain prefix-cache across hybrid SWA+Full via `is_pinned` blocks
- [Aiter][ROCm] gdn_linear_attn kernel fusion
- [Feature] Triton INT4 / INT2 per-token-head KV cache quantization
- [Reasoning] Add GLMReasoningParser with embedded tool-call rescue
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