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]: Porting `ActivationQuantFusionPass` to manual fusion
- [Feature]: Porting `RopeKVCacheFusionPass` to manual fusion
- [Bug] CUTLASS MoE backend unavailable on SM_120/SM_121 (consumer Blackwell / DGX Spark) for tensor/token-scaled FP8 models
- [Feature]: Porting `QKNormRoPEFusionPass` to manual fusion
- [Feature]: Porting `RMSNormQuantFusionPass` to manual fusion
- [Feature]: Porting `AttnQuantFusionPass` to manual fusion
- [Feature]: Porting `MLARoPEKVCacheCatFusionPass` to manual fusion
- [Bugfix] Respect CompilationMode.NONE / eager backend in VocabParallelEmbedding.get_masked_input_and_mask
- [Docs] Update deprecated VLLM_FLASHINFER_MOE_BACKEND reference
- [Examples] Fix use_beam_search type in dummy_client.py
- Docs
- Python not yet supported