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
- [HelionLinearBackend][5/N] Add HelionFP8BlockScaledMMLinearKernel
- [Bug]: CUDA misaligned address crash on GB10 (sm_121) after ~10 days uptime — Nemotron NVFP4 + Marlin MoE + MTP speculative decoding
- [Bugfix][ROCm] Resolve tuned configs across device-name aliases
- [Bugfix] Preserve Qwen3 structured output content
- [Bug]: GraniteMoeHybrid fails to load with pipeline_parallel_size > 1 (KeyError on another rank's layer)
- [Bugfix][Model] GraniteMoeHybrid: skip other ranks' weights under pipeline parallelism
- [Feature]: shared expert fusion via Flashinfer kernels
- [RFC]: Pluggable structured-output backends + GRID as a third contract point (declared outcomes for schemas you don't control)
- [Bug]: Kimi-K2.6 TP=4 segfaults in gptq_marlin_repack on GB200 ARM64 with vLLM 0.26.0
- [Bugfix][Core] Add VLLM_FORCE_FP32_ALL_REDUCE env var to fix PCIe non-english logit drift (#40725)
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