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]: 使用swift rollout启动vllm,推理结果乱码
- [Bug]: When use_audio_in_video is enabled in qwen3-omni, the output may exhibit issues such as empty or repetitive output.
- [FlashLinearAttention] reduce recompilations by removing unused triton kernel inputs
- [Bug]: glm 4.7 fp8 crashes (Worker_TP3 pid=457501) ERROR 03-27 17:11:15 [multiproc_executor.py:852] AttributeError: '_OpNamespace' '_C' object has no attribute 'per_token_group_fp8_quant'
- Upgrade to Transformers v5
- [ROCm][CI] Add K8s-hardened minimal Python CI runner with JUnit exit-code fix and resource watchdog
- [ROCm][Test] Add hybrid block size and RDNA4 backend selection tests
- [Logging] Add JIT compilation progress log for FlashInfer
- [Logging] Improve DCP/PCP/MTP error messages with actionable guidance
- [Bug]: When using the Sonnet dataset for benchmark testing, if the input length is too small, the CPU usage becomes abnormally high with no error logs, making it impossible to run the benchmark properly.
- Docs
- Python not yet supported