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]: microsoft/Phi-4-reasoning-vision-15B Fails to startup
- [Bugfix] Detect missing shard files in quantized checkpoints
- [Bug] Step-3.5-Flash MTP Speculative Decoding Has Extremely Low Acceptance Rate (2.4%-4.6%)
- [Model] Sync upstream BT=chunk_size fix for GDN chunk_fwd_kernel_o, simplify warmup to single pass
- [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.
- [Bugfix] Revert "Zero-init MLA attention output buffers to prevent NaN from CUDA graph padding"
- [FlashLinearAttention] reduce recompilations by removing unused triton kernel inputs
- [Hybrid] Simplify accepted token counting in spec decode for hybrid models
- [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'
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