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
- install torchaudio for HPU stack (align with vllm-gaudi Dockerfile.hpu)
- [ROCm][Quantization] Enable moe_wna16 on ROCm via Triton fallback
- [ROCm][Quantization] Enable compressed-tensors WNA16 test on ROCm
- [Bug]: vllm 0.16.0+image encountered CUDA error: CUBLAS_STATUS_INVALID_VALUE when calling `cublasGemmEx
- [Bugfix] Fix RoutedExpertsCapturer for pipeline parallelism (PP > 1)
- [Bug]: AllReduceRMSFusionPass crashes with PP
- [Bugfix] Fix Triton attention layout when used in combination with the NIXL connector
- [Bugfix] Fix DeepSeek-OCR crash on small images with empty crops
- Fix MIG UUID handling in interface.py and cuda.py
- [Model Runner V2][Bugfix] Fix MRV2 LoRA warmup
- Docs
- Python not yet supported