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
- [Bug]: Gemma4ForConditionalGeneration + runtime LoRA greedy decode diverges from HuggingFace transformers on text-only prompts
- [Attention] Support NVFP4 KV cache on SM8x and SM12x with FlashInfer
- [Bugfix][MiniMax-M3] Fix garbled outputs and streaming reasoning parser on NVFP4 MoE backends for SM 12.0a (RTX PRO 6000 Blackwell)
- Fix Cutlass FP8 padded weight loader replacement
- [Bugfix][KV Offload] Track allocated block IDs when num_external_tokens is 0
- [Bugfix] Track offloading allocations without load tokens
- [Usage]: Serving the model opt Quantized W8A8
- [Bugfix][GB10] Fix negative CUDA graph memory estimate on unified-memory GPUs (#44740)
- [Bugfix][Frontend] Accept Anthropic server tools without input_schema
- [Frontend] Add low-overhead /ready GPU health check
- Docs
- Python not yet supported