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
- Remove all operator overrides for batch invariance
- [New Model]: support image embedding models like siglip2
- [New Model]: https://huggingface.co/FunAudioLLM/SenseVoiceSmall
- [Bug]: Build from source with cuda 12.6 failed
- [Usage]: LogitProcessor vLLM 0.9.1 run the same prompt 50 times with batching, apply logitprocessor independently on each
- [RFC]: Replace list[list[int]] to numpy arrays to mitigate GC overhead.
- [Feature]: model meta in openai api endpoint should include more model information
- [Performance][Feature]: make DeepGEMM swapAB available for linear gemm
- [Feature]: Allow use of `vllm bench serve` without installing all vLLM requirements
- [Bug][LoRA]: Custom AR IMA during CG Capture with LoRA
- Docs
- Python not yet supported