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
- [Feature] Support pre-computed mm processor outputs
- [Bugfix] Count prompt-opened Poolside reasoning tokens
- [Bugfix][Parser] gemma4: seed non-streaming parsing from the prompt
- [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
- Docs
- Python not yet supported