{"id":36735,"date":"2025-05-12T07:16:16","date_gmt":"2025-05-11T23:16:16","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/36735.html"},"modified":"2025-05-12T07:16:16","modified_gmt":"2025-05-11T23:16:16","slug":"nvidia%e6%98%be%e5%8d%a1%e6%9c%8d%e5%8a%a1%e5%99%a8%e7%a6%bb%e7%ba%bf%e7%8e%af%e5%a2%83%e4%b8%8b%e9%80%9a%e8%bf%87vllm%e9%83%a8%e7%bd%b2deepseek","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/36735.html","title":{"rendered":"nvidia\u663e\u5361\u670d\u52a1\u5668\u79bb\u7ebf\u73af\u5883\u4e0b\u901a\u8fc7vllm\u90e8\u7f72deepseek"},"content":{"rendered":"<p>\u4e00\u3001\u64cd\u4f5c\u7cfb\u7edf \u5982\u679c\u4e0d\u8981\u6c42\u64cd\u4f5c\u7cfb\u7edf&#xff0c;\u4e2a\u4eba\u5efa\u8bae\u4f7f\u7528ubuntu22.04\u7248\u672c<\/p>\n<p>\u4e8c\u3001\u73af\u5883\u51c6\u5907 \u5b89\u88c5python https:\/\/www.python.org\/downloads\/source\/ \u538b\u7f29\u5305\u5730\u5740 \u4e0b\u8f7d\u597d\u7684\u538b\u7f29\u5305\u4e0a\u4f20\u5230\u670d\u52a1\u5668 \u6267\u884c\u4e00\u4e0b\u547d\u4ee4<\/p>\n<p>&#096;&#096;&#096;<br \/>\ntar -zxvf Python-3.12.9.tgz  \/\/\u89e3\u538b<br \/>\ncd \/Python-3.12.9  \/\/\u8fdb\u5165\u89e3\u538b\u540e\u7684\u76ee\u5f55<br \/>\n.\/configure &#8211;prefix&#061;\/usr\/local\/python3.12.9  \/\/\u6307\u5b9a\u5b89\u88c5\u5728\u54ea\u4e2a\u76ee\u5f55<br \/>\nmake &amp;&amp; sudo make install  \/\/\u7f16\u8bd1\u4ee5\u53ca\u5b89\u88c5<br \/>\nln -sf  \/usr\/local\/python3.12.9\/bin\/python3.12 \/usr\/bin\/python3  \u8f6f\u94fe\u63a5<br \/>\nln -sf  \/usr\/local\/python3.12.9\/bin\/pip3.12 \/usr\/bin\/pip3<br \/>\n python3 -v<br \/>\n&#096;&#096;&#096;<\/p>\n<p>\u4e09\u3001\u5b89\u88c5miniconda3<\/p>\n<li>\n<p>\u521b\u5efa\u76ee\u5f55<\/p>\n<p>  &#096;&#096;&#096;<br \/>\n mkdir -p ~\/miniconda3<br \/>\n &#096;&#096;&#096;\n <\/li>\n<li>\n<p>\u4e0b\u8f7d\u811a\u672c https:\/\/repo.anaconda.com\/miniconda\/Miniconda3-latest-Linux-x86_64.sh \u4e0b\u8f7d\u4e4b\u540e\u4e0a\u4f20\u5230\u670d\u52a1\u5668<\/p>\n<\/li>\n<li>\n<p>\u8fd0\u884c\u811a\u672c bash ~\/miniconda3\/miniconda.sh -b -u -p ~\/miniconda3<\/p>\n<\/li>\n<li>\n<p>\u6fc0\u6d3b ~\/miniconda3\/bin\/conda init bash ~\/miniconda3\/bin\/conda init zsh source ~\/.bashrc<\/p>\n<\/li>\n<li>\n<p>\u914d\u7f6e\u56fd\u5185\u955c\u50cf\u6e90 vim ~\/miniconda3\/.condarc<\/p>\n<\/li>\n<p>show_channel_urls: true<br \/>\nchannels:<br \/>\n&#8211; https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud\/pytorch\/<br \/>\n&#8211; https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud\/msys2\/<br \/>\n&#8211; https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud\/conda-forge\/<br \/>\n&#8211; https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/pkgs\/main\/<br \/>\n&#8211; https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/pkgs\/free\/<br \/>\n&#8211; defaults<br \/>\ncustom_channels:<br \/>\nconda-forge: https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud<br \/>\nmsys2: https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud<br \/>\nbioconda: https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud<br \/>\nmenpo: https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud<br \/>\npytorch: https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud<br \/>\npytorch-lts: https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud<br \/>\nsimpleitk: https:\/\/mirrors.tuna.tsinghua.edu.cn\/anaconda\/cloud<\/p>\n<li>\u9a8c\u8bc1 conda &#8211;version conda info<\/li>\n<li>\u521b\u5efa\u865a\u62df\u73af\u5883 conda create &#8211;name vLLM python&#061;3.10 -y \u6ce8\u610fpython\u7248\u672c\u8981\u548c\u81ea\u5df1\u4e00\u81f4<\/li>\n<li>\u6fc0\u6d3b\u73af\u5883 conda activate vLLM<\/li>\n<p>\u56db\u3001\u5b89\u88c5nvidia\u9a71\u52a8<\/p>\n<li>\u7981\u7528nouveau\u9a71\u52a8 vim \/etc\/modprobe.d\/blacklist-nouveau.conf \u56e0\u4e3a\u53ef\u80fd\u4f1a\u51b2\u7a81 blacklist nouveau options nouveau modeset&#061;0<\/li>\n<li>nvidia\u9a71\u52a8\u4e0b\u8f7d(\u82e5\u5df2\u88c5\u597d\u5219\u8df3\u8fc7) https:\/\/www.nvidia.cn\/ \u4e0b\u8f7d\u597d\u540e\u4e0a\u4f20\u5230\u670d\u52a1\u5668\u5b89\u88c5 dpkg -i \u9a71\u52a8\u5305\u540d apt update apt install -y cuda-drivers reboot now nvidia-smi \u4e94\u3001\u5b89\u88c5cuda conda activate vLLM https:\/\/developer.nvidia.com\/cuda-toolkit-archive \u627e\u5230\u5bf9\u5e94\u7248\u672c\u6267\u884c\u4e0b\u8f7d\u547d\u4ee4 cuda\u7684\u7248\u672c\u8981\u4e0envidia-smi\u4e2d\u663e\u793a\u7684\u7248\u672c\u4e00\u81f4 \u8d4b\u4e88\u6743\u9650 chmod a&#043;x \u6587\u4ef6\u540d.run .\/\u6587\u4ef6\u540d \u914d\u7f6e\u73af\u5883\u53d8\u91cf echo \u2018export PATH&#061;\/usr\/local\/cuda-12.4\/bin:<span class=\"katex--inline\"><span class=\"katex\"><span class=\"katex-mathml\">\n<p>          P <\/p>\n<p>          A <\/p>\n<p>          T <\/p>\n<p>           H <\/p>\n<p>           \u2032 <\/p>\n<p>          &gt; <\/p>\n<p>          &gt; <\/p>\n<p>          \u00a0 <\/p>\n<p>          \/ <\/p>\n<p>          . <\/p>\n<p>          b <\/p>\n<p>          a <\/p>\n<p>          s <\/p>\n<p>          h <\/p>\n<p>          r <\/p>\n<p>          c <\/p>\n<p>          e <\/p>\n<p>          c <\/p>\n<p>          h <\/p>\n<p>           o <\/p>\n<p>           \u2032 <\/p>\n<p>          e <\/p>\n<p>          x <\/p>\n<p>          p <\/p>\n<p>          o <\/p>\n<p>          r <\/p>\n<p>          t <\/p>\n<p>          L <\/p>\n<p>           D <\/p>\n<p>           L <\/p>\n<p>          I <\/p>\n<p>          B <\/p>\n<p>          R <\/p>\n<p>          A <\/p>\n<p>          R <\/p>\n<p>           Y <\/p>\n<p>           P <\/p>\n<p>          A <\/p>\n<p>          T <\/p>\n<p>          H <\/p>\n<p>          &#061; <\/p>\n<p>          \/ <\/p>\n<p>          u <\/p>\n<p>          s <\/p>\n<p>          r <\/p>\n<p>          \/ <\/p>\n<p>          l <\/p>\n<p>          o <\/p>\n<p>          c <\/p>\n<p>          a <\/p>\n<p>          l <\/p>\n<p>          \/ <\/p>\n<p>          c <\/p>\n<p>          u <\/p>\n<p>          d <\/p>\n<p>          a <\/p>\n<p>          \u2212 <\/p>\n<p>          12.4 <\/p>\n<p>          \/ <\/p>\n<p>          l <\/p>\n<p>          i <\/p>\n<p>          b <\/p>\n<p>          64 <\/p>\n<p>          : <\/p>\n<p>         PATH&#039; &gt;&gt; ~\/.bashrc echo &#039;export LD_LIBRARY_PATH&#061;\/usr\/local\/cuda- 12.4\/lib64: <\/p>\n<p>     <\/span><span class=\"katex-html\"><span class=\"base\"><span class=\"strut\" style=\"height: 1.0019em;vertical-align: -0.25em\"><\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.1389em\">P<\/span><span class=\"mord mathnormal\">A<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.1389em\">T<\/span><span class=\"mord\"><span class=\"mord mathnormal\" style=\"margin-right: 0.0813em\">H<\/span><span class=\"msupsub\"><span class=\"vlist-t\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height: 0.7519em\"><span class=\"\" style=\"top: -3.063em;margin-right: 0.05em\"><span class=\"pstrut\" style=\"height: 2.7em\"><\/span><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mtight\">\u2032<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><span class=\"mspace\" style=\"margin-right: 0.2778em\"><\/span><span class=\"mrel\">&gt;&gt;<\/span><span class=\"mspace nobreak\">\u00a0<\/span><span class=\"mspace\" style=\"margin-right: 0.2778em\"><\/span><span class=\"mord\">\/.<\/span><span class=\"mord mathnormal\">ba<\/span><span class=\"mord mathnormal\">s<\/span><span class=\"mord mathnormal\">h<\/span><span class=\"mord mathnormal\">rcec<\/span><span class=\"mord mathnormal\">h<\/span><span class=\"mord\"><span class=\"mord mathnormal\">o<\/span><span class=\"msupsub\"><span class=\"vlist-t\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height: 0.7519em\"><span class=\"\" style=\"top: -3.063em;margin-right: 0.05em\"><span class=\"pstrut\" style=\"height: 2.7em\"><\/span><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mtight\">\u2032<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><span class=\"mord mathnormal\">e<\/span><span class=\"mord mathnormal\">x<\/span><span class=\"mord mathnormal\">p<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.0278em\">or<\/span><span class=\"mord mathnormal\">t<\/span><span class=\"mord mathnormal\">L<\/span><span class=\"mord\"><span class=\"mord mathnormal\" style=\"margin-right: 0.0278em\">D<\/span><span class=\"msupsub\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height: 0.3283em\"><span class=\"\" style=\"top: -2.55em;margin-left: -0.0278em;margin-right: 0.05em\"><span class=\"pstrut\" style=\"height: 2.7em\"><\/span><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mathnormal mtight\">L<\/span><\/span><\/span><\/span><span class=\"vlist-s\">\u200b<\/span><\/span><span class=\"vlist-r\"><span class=\"vlist\" style=\"height: 0.15em\"><span class=\"\"><\/span><\/span><\/span><\/span><\/span><\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.0785em\">I<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.0077em\">BR<\/span><span class=\"mord mathnormal\">A<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.0077em\">R<\/span><span class=\"mord\"><span class=\"mord mathnormal\" style=\"margin-right: 0.2222em\">Y<\/span><span class=\"msupsub\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height: 0.3283em\"><span class=\"\" style=\"top: -2.55em;margin-left: -0.2222em;margin-right: 0.05em\"><span class=\"pstrut\" style=\"height: 2.7em\"><\/span><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mathnormal mtight\" style=\"margin-right: 0.1389em\">P<\/span><\/span><\/span><\/span><span class=\"vlist-s\">\u200b<\/span><\/span><span class=\"vlist-r\"><span class=\"vlist\" style=\"height: 0.15em\"><span class=\"\"><\/span><\/span><\/span><\/span><\/span><\/span><span class=\"mord mathnormal\">A<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.1389em\">T<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.0813em\">H<\/span><span class=\"mspace\" style=\"margin-right: 0.2778em\"><\/span><span class=\"mrel\">&#061;<\/span><span class=\"mspace\" style=\"margin-right: 0.2778em\"><\/span><\/span><span class=\"base\"><span class=\"strut\" style=\"height: 1em;vertical-align: -0.25em\"><\/span><span class=\"mord\">\/<\/span><span class=\"mord mathnormal\">u<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.0278em\">sr<\/span><span class=\"mord\">\/<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.0197em\">l<\/span><span class=\"mord mathnormal\">oc<\/span><span class=\"mord mathnormal\">a<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.0197em\">l<\/span><span class=\"mord\">\/<\/span><span class=\"mord mathnormal\">c<\/span><span class=\"mord mathnormal\">u<\/span><span class=\"mord mathnormal\">d<\/span><span class=\"mord mathnormal\">a<\/span><span class=\"mspace\" style=\"margin-right: 0.2222em\"><\/span><span class=\"mbin\">\u2212<\/span><span class=\"mspace\" style=\"margin-right: 0.2222em\"><\/span><\/span><span class=\"base\"><span class=\"strut\" style=\"height: 1em;vertical-align: -0.25em\"><\/span><span class=\"mord\">12.4\/<\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.0197em\">l<\/span><span class=\"mord mathnormal\">ib<\/span><span class=\"mord\">64<\/span><span class=\"mspace\" style=\"margin-right: 0.2778em\"><\/span><span class=\"mrel\">:<\/span><\/span><\/span><\/span><\/span>LD_LIBRARY_PATH\u2019 &gt;&gt; ~\/.bashrc source ~\/.bashrc nvcc &#8211;version reboot now conda activate vLLM \u516d\u3001\u5b89\u88c5torch https:\/\/download.pytorch.org\/whl\/torch\/ \u4e0a\u4f20torch-2.4.0&#043;cu124-cp310-cp310-linux_x86_64.whl pip install torch-2.4.0&#043;cu124-cp310-cp310-linux_x86_64.whl \u4e03\u3001\u4e0a\u4f20vllm \u51c6\u5907\u4e00\u53f0\u53ef\u4ee5\u8054\u7f51\u7684\u670d\u52a1\u5668&#xff08;\u5982\u679c\u5f53\u524d\u670d\u52a1\u5668\u8054\u7f51\u76f4\u63a5pip install vllm&#xff09; pip download vLLM -i https:\/\/pypi.tuna.tsinghua.edu.cn\/simple \u5c06\u4e0b\u8f7d\u597d\u7684vllm\u6253\u5305\u4f20\u8f93\u5230\u76ee\u6807\u670d\u52a1\u5668 pip install vllm.tar vllm &#8211;version \u516b\u3001\u4e0a\u4f20\u6a21\u578b https:\/\/modelscope.cn\/models\/deepseek-ai\/DeepSeek-R1-Distill-Qwen-14B&#xff0c;\u6a21\u578b\u4e0b\u8f7d\u5730\u5740&#xff0c;\u6211\u662f\u901a\u8fc7\u79fb\u52a8\u786c\u76d8\u4f20\u8f93\u7684&#xff0c;\u56e0\u4e3a\u662f\u79bb\u7ebf\u7684\u4e0d\u80fd\u76f4\u63a5\u4e0b\u8f7d \u4e5d\u3001\u8fd0\u884c\u6a21\u578b \u4e0b\u8f7d\u597d\u4e86\u4e4b\u540e\u8fd0\u884c\u6a21\u578b&#xff0c;\u8dd1\u8d77\u6765\u5c31ok\u4e86<\/li>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb891\u6b21\uff0c\u70b9\u8d5e18\u6b21\uff0c\u6536\u85cf18\u6b21\u3002https:\/\/www.python.org\/downloads\/source\/ \u538b\u7f29\u5305\u5730\u5740\u3002\u5982\u679c\u4e0d\u8981\u6c42\u64cd\u4f5c\u7cfb\u7edf\uff0c\u4e2a\u4eba\u5efa\u8bae\u4f7f\u7528ubuntu22.04\u7248\u672c\u3002\u4e09\u3001\u5b89\u88c5miniconda3\u3002\u4e0b\u8f7d\u597d\u7684\u538b\u7f29\u5305\u4e0a\u4f20\u5230\u670d\u52a1\u5668\u3002\u56db\u3001\u5b89\u88c5nvidia\u9a71\u52a8\u3002\u4e0b\u8f7d\u4e4b\u540e\u4e0a\u4f20\u5230\u670d\u52a1\u5668\u3002<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[58,43,3166],"topic":[],"class_list":["post-36735","post","type-post","status-publish","format-standard","hentry","category-server","tag-linux","tag-43","tag-deepseek"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ 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