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
- [ROCm]: Bump torch 2.12, torchvision, torchaudio, triton 3.7
- [Bug]: V1 + Ray distributed executor + LoRA — execute_model returns NoneType on NVIDIA GPU
- [RFC] guard-gated sparse MLA topology index policy
- [KV Cache] Native simulator
- [Core] Pre-size cudagraph output staging buffers to the max capture descriptor
- Preserve DeepSeek sigmoid grouped routing metadata
- Account scheduled spec slots on empty output rows
- [Bugfix][Frontend] Return tool_calls finish reason from derendered tool calls
- [Bug]: XPU: INC dequantizes int4 MoE experts to bf16 (OOM), which presents as an empty_cache livelock
- [Performance]: How to set allow_hybrid_mode in DeepEP V2
- Docs
- Python not yet supported