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
- [MoE][Fix] Fix DeepEP HT hardcoded per_act_token_quant=False
- Update MusicFlamingo and add AudioFlamingoNext
- fix(attention): fix high head dim model(Gemma4) support on limited shared memory
- [Bug]: Hang During CUDA Graph Capture on ROCM in 0.19
- [Frontend] Add /v1/files upload endpoint for multimodal inputs (#38531)
- [Feature]: Built-in request multiplexer to let `vllm serve` use all available GPUs without external proxies
- [Feature]: Support lightweight import of vllm protocol types without torch dependency
- Entropy-adaptive per-head KV cache quantization: +8% quality over uniform at same compression
- [Bug] vLLM >= 0.18.0 NCCL segfault (cuMemCreate) with TP>1 on RTX 4090 (SM 89)
- [Doc] Update multimodal inputs document about video metadata inputs
- Docs
- Python not yet supported