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
- [CI] Add unit tests for IdentityReasoningParser
- [ROCm] Enable RDNA3 W4A16 GEMM kernels on gfx1151 (Strix Halo)
- Fix PP broadcast hangs when a GPU device error (e.g. device lost) occurs on a peer worker
- [Bug]: MiniMax‑M3 (MSA) + NixlConnector: connector forces HND KV layout while MSA is NHD‑native, permuting the head axis under P/D disaggregation
- fix(worker): improve DCP/PCP error messages with actionable guidance …
- add torchcomms backend for xpu support
- [Bugfix] Parse compact sentence-transformers pooling_mode (>=5.4.0)
- [Feature]: Add a 2-bit KV-cache quantisation backend from Together AI
- [Attention] MiniMax-M3: declare NHD-only KV cache layout via get_required_kv_cache_layout
- [XPU] Set per-worker ZE_AFFINITY_MASK for workers
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