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
- Fix prompt_logprobs to respect logprobs_mode
- [ROCm][Bugfix] Fix MXFP4 MoE emulate fallback logic on MX-capable hardware
- Enable Torch Profiling PD vLLM Disagg
- [Model] Add HyperCLOVAX-SEED-Omni-8B model support
- [Feature] Add debug tensor dump for intermediate activations
- [Docs] Add GSM8K accuracy benchmark example
- [Feat] add rmsnorm fp4 quant fusion of flashinfer
- [Bugfix] Fix Qwen3-Omni/Qwen2.5-Omni use_audio_in_video deployment issues
- [ROCm] Enable AITER fused allreduce + RMSNorm compilation pass
- Fix autotuned config selection for active LoRA & LoRA CUDA Graph Memory Reduction
- Docs
- Python not yet supported