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@ -113,8 +113,10 @@ pip install tensorboardX
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我们提供基于CUDA12.2环境下python3.8、python3.10版本的vllm安装包,相关依赖均已封装,可直接安装后执行推理:
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[vllm-0.5.0.dev0+cu122-cp38-cp38-linux_x86_64.whl](https://qy-obs-6d58.obs.cn-north-4.myhuaweicloud.com/vllm-0.5.0.dev0%2Bcu122-cp38-cp38-linux_x86_64.whl)
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[vllm-0.5.0.dev0+cu122-cp310-cp310-linux_x86_64.whl](https://qy-obs-6d58.obs.cn-north-4.myhuaweicloud.com/vllm-0.5.0.dev0%2Bcu122-cp310-cp310-linux_x86_64.whl)
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针对CUDA版本不高的用户,我们提供了兼容低版本CUDA的vllm安装包,但经测试最低支持CUDA11.6,因此,如果您的服务器CUDA版本低于11.6,请先将其升级至该版本以上,以确保兼容性和正常运行:
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[vllm-0.5.0.dev0+cu116-cp38-cp38-linux_x86_64.whl](https://qy-obs-6d58.obs.cn-north-4.myhuaweicloud.com/vllm-0.5.0.dev0%2Bcu116-cp38-cp38-linux_x86_64.whl)
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同时,我们也提供了vllm源码,位于/quick_start_clean/tools/vllm-0.5.0.dev0.tar
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```
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### docker环境
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