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][4/N] Add HelionINT8ScaledMMLinearKernel
- [CUDA] Keep host registration and error drain on one runtime handle
- [Kernel] Use expanding ldmatrix for Marlin W4A8
- [Docs] Fix ECExampleConnector references in disagg_encoder docs
- [Core] Add KV event state snapshots
- [Bug]: Host-memory leak on eager `reshape_and_cache_flash` path
- [Bugfix] Fix sequence-parallel detection for small decode batches
- [Bug]: Sleep mode wake_up crashes EngineCore natively on DGX Spark (GB10, unified memory) — sleep level 1 works, wake kills the engine
- [Bug]: Qwen3.5/Qwen3-Next GDN attention crashes at warmup with torch.compile stride mismatch (expected size 3==3, stride 4097==512) — recurrence of #29014 on splitting_ops boundary
- [Feature]: AMD Kimi K3 MoRI MI355X disagg
- Docs
- Python not yet supported