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
- [Bugfix] Fix pipeline load imbalance in scheduler
- [Intel-GPU]: Using docker image at intel/vllm:0.17.0-xpu -> RuntimeError: PyTorch was compiled without CUDA support
- Log warning for scheduled token mismatch
- [Bugfix] Fix reasoning parser disabling structured output when enable_thinking=false
- [CPU] Enable Granite 4 / Mamba models on CPU backend
- [Feature] Extend Gemma4 tool parser to support XML-style <tool_call> format
- Clean up OMP and NUMA topology detection
- [EPLB] Fix balancedness metric computation and add verbose reporting
- Enable grouped_topk kernel registration.Hook up the existing grouped_topk kernel to the kernel registry.
- [Bug]: vLLM attempts to download Hugging Face cache file during inference despite local model path (Gemma 4)
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- Python not yet supported