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
- [Performance]: Can we use CUDA graph to accelerate the Qwen2_5omniAudioEncoder in Qwen2.5-Omni-3B?
- [Bug]: --long-prefill-token-threshold & --max-num-batched-tokens Confilct:lead to OOM!
- [Bug]: Pipeline parallelism issues on RTX 6000 + gpt-oss-120b
- [Feature]: Batch invariant: Enable TRITON_MLA with prefix-caching
- [Feature Request]: Add JSON response format to /health endpoint
- [Bug]: sagemaker_sessions on a shared cluster
- [CI][ROCm] (wip) Fix test_async_scheduing
- [Usage]: Creating and accessing per request arguments inside vLLM model
- [Feature]: Update triton_kernels with upstream triton
- [Bug]: 加载PaddleOCR-VL模型进行ocr识别时出错
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