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
- [RFC]: Multimodal Asynchronous Collaborative Architecture Sidecar
- [Bug]: [kernel] MRotaryEmbedding Triton kernel hardcodes Neox-style rotation, producing wrong results for GPT-J style models (like GLM-OCR).
- [mooncake] support CUSTOM_MEM_POOL in vllm
- [XPU] Support Sequence Parallelism for mxfp8 on XPU
- [ROCm][CI] Use explicit wvSplitKrc skinny-GEMM test tolerance for bf16 (gfx950)
- [Bug]: v0.25.0 regression - Qwen3.5 FP8 on H200 crashes during CUDA graph capture with CUDA illegal memory access
- [KV Offload] Fix failed-load livelock by marking the lookup verdict negative
- [Bugfix][MoE] Swizzle mxfp8 activation scales after DP/EP dispatch for FlashInfer CUTLASS
- [Bugfix] Fix DBRX MoE weight loading after FusedMoE/MoERunner refacto…
- [Bugfix][V1] Reserve CUDA graph memory in V2 GPU model runner
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