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
- [Feature]: Add test verifying CompilationMode.STOCK_TORCH_COMPILE behavior
- [Bug]: RuntimeError: CUDA driver error: invalid device ordinal when symmetric memory (symm_mem) is enabled in multi-GPU vLLM setup with 4H100 PCIe
- [Bug]: Issue with Deepseek Reasoning parser with Qwen3 2507 chat templates
- [Feature][XPU]: XPU graph support
- [Bug]: failed to use vllm docker on jetson thor
- [New Model]: support tencent/Hunyuan-MT-Chimera-7B-fp8
- [Bug] [ROCm] [Flex Attention]: Unable to run
- [Feature]: Reintroduce GPU memory usage control for vLLM to coexist with other GPU-light tasks
- Add deepseek amd ci
- [Bug]: `pipeline_parallel_size` and `max_num_batched_tokens` produce `CUDA error: an illegal memory access was encountered`
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- Python not yet supported