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
- [ROCm][Build] Fix pip install detection when build isolation installs CUDA PyTorch
- [quantization] Further qr
- [Multimodal] Fix nested_tensors_equal: add length check for lists and tuple support
- [Bugfix] Fix dead-code validation bypass in structured_outputs + named tool_choice
- [CI/Build] Fix GH200 build: add --torch-only flag to use_existing_torch.py to preserve torchvision dependency
- [Bugfix] Fix platform detection crash when vllm is not installed as a package
- [Bug]: vllm 0.18 kimi k2.5 way worse than h200 single node
- [Compile] Replace split_module with lightweight vllm-specific graph splitter
- [Bugfix] Fix backup token index in async spec decode (fixes Nemotron BF16 accuracy)
- [Fix] Improve ROCm detection in WSL environments
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