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][Perf][Kimi-K3] Specialized decode on gfx942 (MI325X)
- [Bugfix] Reject non-int values for integer SamplingParams fields
- [Bugfix][KV] Ignore stale Mooncake completion notifications
- [Bug]: GB10 (sm_121) engine hangs forever inside a cuDNN FP8 GEMM picked via FlashInferFP8ScaledMMLinearKernel; CutlassFP8ScaledMMLinearKernel avoids it
- [Model] Apply Transformers checkpoint renamings during weight loading
- [Bugfix][GPT-OSS] Scope engine-level structured outputs to the Harmony final channel
- [Perf] Reduce RMSNorm fake-tensor metadata time by 21-22% during compile
- [Bug]: W4A8 (int4×FP8) MoE asserts hidden/intermediate %256 for every backend, so HUMMING cannot load shapes CUTLASS rejects (e.g. intermediate 640)
- [Bugfix] Let W4A8 MoE fall back to Humming for non-256-aligned shapes
- [Bugfix][Attention] Re-plan DSA indexer decode schedule for DBO's reduced DeepGEMM SM count
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