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
- [Model] GLM5 router GEMM
- Add fused MoE LoRA kernel tuner (tune_lora_moe.py)
- [ROCm][CI] Fine-tuning queues and test names
- [Perf] Async GPU P2P access cache precomputation to reduce startup time
- Support NVFP4 per-expert weight loading for Gemma 4 MoE
- [Bug]: Qwen3.5 crashes when using suffix-decoding
- [LoRA] Warn when adapter has zero effective modules after loading
- [Feature]: Support routed_experts export in disaggregated Prefill/Decode serving
- feat: skip-softmax support for FlashInfer attention path
- [Feature]: Use torch.compile Dynamo to see full trace for model forward pass
- Docs
- Python not yet supported