vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Draft] Migrate bitsandbytes support to OOT plugin
- [Feature] Add Gumiho speculative decoding method
- [Feature]Support Sequence Parallel (SP) for qwen3_vl
- [Core][Bugfix] Roll back eager prefix-cache registration on uncommitted free
- feat(attention): add fused RoPE and KV cache update for FlashAttention
- [Test][V1] Add unit tests for parallel sampling metrics
- [Feature]: Porting `MLAAttnQuantFusionPass` to manual fusion
- [Feature]: Porting `AllReduceFusionPass` to manual fusion
- [Feature]: Porting `ActivationQuantFusionPass` to manual fusion
- [Feature]: Porting `RopeKVCacheFusionPass` to manual fusion
- Docs
- Python not yet supported