{"id":27618,"date":"2025-04-19T20:26:33","date_gmt":"2025-04-19T12:26:33","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/27618.html"},"modified":"2025-04-19T20:26:33","modified_gmt":"2025-04-19T12:26:33","slug":"%e3%80%90linux%e6%9c%8d%e5%8a%a1%e5%99%a8%e3%80%91%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e5%ae%9e%e6%88%98%e6%95%99%e7%a8%8b%ef%bc%9allms%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%bf%ab%e9%80%9f%e9%83%a8-2","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/27618.html","title":{"rendered":"\u3010linux\u670d\u52a1\u5668\u3011\u5927\u8bed\u8a00\u6a21\u578b\u5b9e\u6218\u6559\u7a0b\uff1aLLMS\u5927\u6a21\u578b\u5feb\u901f\u90e8\u7f72\u5230\u4e2a\u4eba\u670d\u52a1\u5668"},"content":{"rendered":"

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" <\/p>\n

🎬 \u9e3d\u82b7\u5495：\u4e2a\u4eba\u4e3b\u9875<\/font> <\/p>\n

\u00a0🔥 \u4e2a\u4eba\u4e13\u680f: \u300aC++\u5e72\u8d27\u57fa\u5730\u300b\u300a\u7c89\u4e1d\u798f\u5229\u300b<\/font> <\/p>\n

\u26fa\ufe0f\u751f\u6d3b\u7684\u7406\u60f3，\u5c31\u662f\u4e3a\u4e86\u7406\u60f3\u7684\u751f\u6d3b! <\/font> <\/p>\n

\n

\u5f15\u8a00<\/h2>\n

\u8bf4\u5230\u5927\u8bed\u8a00\u6a21\u578b\u76f8\u4fe1\u5927\u5bb6\u90fd\u4e0d\u4f1a\u964c\u751f，\u5927\u578b\u8bed\u8a00\u6a21\u578b(LLMs)\u662f\u4eba\u5de5\u667a\u80fd\u6587\u672c\u5904\u7406\u7684\u4e3b\u8981\u7c7b\u578b,\u4e5f\u73b0\u5728\u6700\u6d41\u884c\u7684\u4eba\u5de5\u667a\u80fd\u5e94\u7528\u5f62\u6001\u3002ChatGPT\u5c31\u662f\u662f\u8fc4\u4eca\u4e3a\u6b62\u6700\u8457\u540d\u7684\u4f7f\u7528LLM\u7684\u5de5\u5177,\u5b83\u7531OpenAI\u7684GPT\u6a21\u578b\u7684\u7279\u522b\u8c03\u6574\u7248\u672c\u63d0\u4f9b\u52a8\u529b，\u800c\u4eca\u5929\u6211\u4eec\u5c31\u6765\u5e26\u5927\u5bb6\u4f53\u9a8c\u4e00\u4e0b\u90e8\u7f72\u5927\u6a21\u578b\u7684\u5b9e\u6218\u3002<\/p>\n<\/p>\n

\u6587\u7ae0\u76ee\u5f55<\/h4>\n
    \n
  • \u5f15\u8a00<\/li>\n
  • \u4e00\u3001\u9879\u76ee\u9009\u62e9\u4e0e\u7cfb\u7edf\u4ecb\u7ecd<\/li>\n
  • \n
      \n
    • 1.1 \u9879\u76ee\u4ecb\u7ecd<\/li>\n
    • 1.2 Tiny-Llama\u8bed\u8a00\u6a21\u578b<\/li>\n
    • 1.3 \u8fdb\u5165\u7cfb\u7edf<\/li>\n
    • 1.4 \u8fdb\u884c\u8fdc\u7a0b\u8fde\u63a5<\/li>\n<\/ul>\n<\/li>\n
    • \u4e8c\u3001\u90e8\u7f72LLMS\u5927\u6a21\u578b<\/li>\n
    • \n
        \n
      • 2.1 \u62c9\u53d6\u4ee3\u7801\u5230\u73af\u5883<\/li>\n
      • 2.2 \u81ea\u5b9a\u4e49\u7b97\u5b50\u90e8\u7f72<\/li>\n
      • \n
          \n
        • \u914d\u7f6eprotoc \u73af\u5883<\/li>\n
        • \u7b97\u5b50\u7f16\u8bd1\u90e8\u7f72<\/li>\n
        • \u4fee\u6539\u73af\u5883\u53d8\u91cf<\/li>\n
        • \u7f16\u8bd1\u8fd0\u884c& \u4f9d\u8d56\u5b89\u88c5<\/li>\n<\/ul>\n<\/li>\n
        • 2.3 \u63a8\u7406\u542f\u52a8<\/li>\n<\/ul>\n<\/li>\n
        • \u4e09\u3001 \u9879\u76ee\u4f53\u9a8c<\/li>\n<\/ul>\n

          \u4e00\u3001\u9879\u76ee\u9009\u62e9\u4e0e\u7cfb\u7edf\u4ecb\u7ecd<\/h2>\n

          1.1 \u9879\u76ee\u4ecb\u7ecd<\/h3>\n

          \u672c\u6765\u535a\u4e3b\u662f\u51c6\u5907\u6765\u90e8\u7f72\u4e00\u4e0b\u54b1\u4eec\u7684，\u6e05\u534e\u5927\u8bed\u8a00\u6a21\u578b\u955c\u50cf\u8fd9\u4e2a\u76ee\u524d\u4e5f\u662f\u975e\u5e38\u7684\u706b\u554a，\u5438\u5f15\u4e86\u5f88\u591a\u4eba\u7684\u6ce8\u610f\u5176\u4f18\u79c0\u7684\u6027\u80fd\u548cGPT3 \u4e0d\u76f8\u4e0a\u4e0b，\u4f46\u662f\u7531\u4e8e\u8003\u8651\u5230，\u5927\u90e8\u5206\u4eba\u7535\u8111\u5176\u5b9e\u8dd1\u5927\u6a21\u578b\u662f\u6709\u4e00\u70b9\u70b9\u5403\u529b\u7684，\u4e3a\u4e86\u8ba9\u66f4\u591a\u4eba\u6765\u5148\u8fc8\u51fa\u90e8\u7f72\u6a21\u578b\u7684\u7b2c\u4e00\u6b65，\u4e8e\u662f\u5c31\u51b3\u5b9a\u53bb gitee \u4e0a\u627e\u4e00\u4e2a\u5c0f\u578b\u4e00\u70b9\u7684\u5927\u6a21\u578b\u6765\u5b9e\u6218\u4e00\u4e0b\u3002<\/p>\n

          1.2 Tiny-Llama\u8bed\u8a00\u6a21\u578b<\/h3>\n
            \n
          • \u679c\u4e0d\u5176\u7136\u521a\u641c\u7d22\u5c31\u53d1\u73b0 \u4e00\u4e2a\u57fa\u4e8e\u9999\u6a59\u6d3eAI Pro \u90e8\u7f72\u7684\u8bed\u8a00\u5927\u6a21\u578b\u9879\u76ee，\u8fd9\u4e0d\u6b63\u597d\u5417？\u76f4\u63a5\u5f00\u59cb<\/li>\n<\/ul>\n

            \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

              \n
            • \u70b9\u8fdb\u53bb\u4e00\u770b\u53d1\u73b0\u8fd9\u662f\u5357\u4eac\u5927\u5b66\u5f00\u6e90\u7684\u4e00\u5957\u57fa\u4e8e\u9999\u6a59\u6d3e AIpro\u90e8\u7f72\u7684Tiny-Llama\u8bed\u8a00\u6a21\u578b<\/li>\n
            • （\u5f00\u6e90\u5730\u5740）<\/li>\n<\/ul>\n

              1.3 \u8fdb\u5165\u7cfb\u7edf<\/h3>\n

              \u8fd9\u91cc\u6211\u4eec\u9009\u62e9\u7684\u662fopenEuler，\u662f\u9999\u6a59\u6d3e\u7684\u8fd9\u5757\u677f\u5b50\u5185\u7f6e\u7684\u7cfb\u7edf\u3002\u4f46\u5176\u5b9e\u4ed6\u7684\u5185\u6838\u662fubuntu\u8fd9\u91cc\u53ef\u4ee5\u7ed9\u5927\u5bb6\u770b\u4e00\u4e0b，\u6240\u4ee5\u6211\u4eec\u7528 ubuntu \u670d\u52a1\u5668\u6765\u90e8\u7f72\u5e94\u8be5\u662f\u6ca1\u6709\u95ee\u9898\u7684\u3002<\/p>\n

              \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                \n
              • openEuler \u662f\u4e00\u7531\u4e2d\u56fd\u5f00\u6e90\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u4e3b\u5bfc，\u4ee5Linux\u7a33\u5b9a\u7cfb\u7edf\u5185\u6838\u4e3a\u57fa\u7840,\u534e\u4e3a\u6df1\u5ea6\u53c2\u4e0e,\u9762\u5411\u670d\u52a1\u5668\u3001\u684c\u9762\u548c\u5d4c\u5165\u5f0f\u7b49\u7684\u4e00\u4e2a\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u3002<\/li>\n<\/ul>\n

                1.4 \u8fdb\u884c\u8fdc\u7a0b\u8fde\u63a5<\/h3>\n
                  \n
                • \n

                  \u8fd9\u91cc\u76f4\u63a5\u63d2\u7535\u542f\u52a8，\u9ed8\u8ba4\u7528\u6237\u540d HwHiAiUser\u3001\u5bc6\u7801 Mind@123 \u5f53\u7136root\u5bc6\u7801\u4e5f\u662f\u4e00\u6837\u7684<\/p>\n<\/li>\n

                • \n

                  \u8fd9\u91cc\u6211\u4eec\u8fdb\u6765\u4e4b\u540e\u53ef\u4ee5\u76f4\u63a5\u9009\u62e9\u94fe\u63a5WiFi \u975e\u5e38\u4fbf\u6377<\/p>\n<\/li>\n

                • \n

                  \u5f53\u7136\u8fd9\u91cc\u5927\u5bb6\u5728\u8fd9\u91cc\u4e5f\u53ef\u4ee5\u9009\u62e9\u4e91\u670d\u52a1\u5668\u8fdc\u7a0b\u5b9e\u6218<\/p>\n<\/li>\n<\/ul>\n

                  \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                    \n
                  • \u7136\u540e\u6211\u4eec\u6253\u5f00\u547d\u4ee4\u7a97\u67e5\u770bIP , \u7531\u4e8e\u7cfb\u7edf\u9ed8\u8ba4\u652f\u6301ssh \u8fdc\u7a0b\u8fde\u63a5，\u6240\u4ee5\u535a\u4e3b\u8fd9\u91cc\u5c31\u76f4\u63a5\u91c7\u7528 Sxhell \u8fdb\u884c\u8fde\u63a5<\/li>\n
                  • \u8f93\u5165ip \u9009\u62e9 HwHiAiUser \u767b\u5f55 \u5bc6\u7801 Mind@123<\/li>\n<\/ul>\n

                    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                    \u4e8c\u3001\u90e8\u7f72LLMS\u5927\u6a21\u578b<\/h2>\n

                    2.1 \u62c9\u53d6\u4ee3\u7801\u5230\u73af\u5883<\/h3>\n
                      \n
                    • \u5148cd\u8fdb\u5165 cd ~\/samples \u76ee\u5f55<\/li>\n
                    • \u4e4b\u540e\u76f4\u63a5\u5229\u7528git \u62c9\u53d6\u6211\u4eec\u7684\u9879\u76ee，git \u7531\u4e8e\u7cfb\u7edf\u955c\u50cf\u81ea\u5e26\u7684\u6709\u5c31\u4e0d\u7528\u6211\u4eec\u624b\u52a8\u5b89\u88c5\u4e86<\/li>\n<\/ul>\n

                      \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                      2.2 \u81ea\u5b9a\u4e49\u7b97\u5b50\u90e8\u7f72<\/h3>\n

                      \u914d\u7f6eprotoc \u73af\u5883<\/h4>\n
                        \n
                      • \u4f7f\u7528wget\u5de5\u5177\u4ece\u6307\u5b9a\u7684\u534e\u4e3a\u4e91\u94fe\u63a5\u4e0b\u8f7d protobuf-all-3.13.0.tar.gz\u6587\u4ef6<\/li>\n<\/ul>\n

                        wget https:<\/span>\/\/obs-9be7.obs.cn-east-2.myhuaweicloud.com\/wanzutao\/tiny-llama\/protobuf-all-3.13.0.tar.gz –no-check-certificate<\/span><\/p>\n

                        \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                          \n
                        • \u89e3\u538b\u521a\u521a\u4e0b\u8f7d\u7684\u6587\u4ef6<\/li>\n<\/ul>\n

                          tar –<\/span>zxvf protobuf–<\/span>all–<\/span>3.13<\/span>.<\/span>0.<\/span>tar.<\/span>gz<\/p>\n

                          \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                          \u8fd9\u91cc\u89e3\u538b\u901f\u5ea6\u975e\u5e38\u5feb，\u57fa\u672c\u4e00\u79d2\u5c31OK\u4e86<\/p>\n

                          \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                            \n
                          • \u8fdb\u5165 protobuf-3.13.0 \u6587\u4ef6\u5939\u4e2d<\/li>\n<\/ul>\n

                            cd protobuf–<\/span>3.13<\/span>.<\/span>0<\/span><\/p>\n

                            \u66f4\u65b0apt\u5305\u7ba1\u7406\u5668\u7684\u8f6f\u4ef6\u5305\u5217\u8868<\/p>\n

                            apt–<\/span>get update<\/p>\n

                            \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                              \n
                            • \u4f7f\u7528apt-get\u5b89\u88c5\u5fc5\u8981\u7684\u6784\u5efa\u5de5\u5177，\u5305\u62ecautoconf\u3001automake\u548clibtool，\u8fd9\u4e9b\u5de5\u5177\u7528\u4e8e\u914d\u7f6e\u548c\u6784\u5efa\u5f00\u6e90\u9879\u76ee<\/li>\n<\/ul>\n

                              apt–<\/span>get install autoconf automake libtool<\/p>\n

                              \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                \n
                              • \u751f\u6210\u914d\u7f6e\u811a\u672c configure , \u8fd0\u884c .\/configure \u751f\u6210\u4e00\u4e2aMakefile<\/li>\n<\/ul>\n

                                .<\/span>\/<\/span>autogen.<\/span>sh
                                \n.<\/span>\/<\/span>configure<\/p>\n

                                  \n
                                • \u7f16\u8bd1\u6e90\u4ee3\u7801,\u7531\u4e8e \u9999\u6a59\u6d3e AIpro \u662f4\u683864\u4f4d\u5904\u7406\u5668+ AI\u5904\u7406\u5668\u652f\u63018\u4e2a\u7ebf\u7a0b，\u6211\u4eec\u6211\u4eec\u53ef\u4ee5\u5927\u80c6\u7684\u4f7f\u75284\u4e2a\u5e76\u884c\u8fdb\u7a0b\u8fdb\u884c\u7f16\u8bd1，\u4ee5\u52a0\u5feb\u7f16\u8bd1\u901f\u5ea6\u3002<\/li>\n
                                • \u7f16\u8bd1\u8fd9\u91cc\u7684\u65f6\u5019\u5927\u5bb6\u5c31\u53ef\u4ee5\u653e\u677e\u653e\u677e\u4e86\u5927\u6982\u53ea\u9700\u898110\u51e0\u5206\u949f\u5c31\u597d\u4e86<\/li>\n<\/ul>\n

                                  make –<\/span>j4<\/p>\n

                                  \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                    \n
                                  • \u5c06\u7f16\u8bd1\u540e\u7684\u4e8c\u8fdb\u5236\u6587\u4ef6\u548c\u5e93\u6587\u4ef6\u5b89\u88c5\u5230\u7cfb\u7edf\u6307\u5b9a\u7684\u4f4d\u7f6e<\/li>\n<\/ul>\n

                                    make install<\/p>\n

                                    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                      \n
                                    • \u66f4\u65b0\u7cfb\u7edf\u5171\u4eab\u5e93\u7f13\u5b58\u7684\u5de5\u5177，\u68c0\u67e5protoc \u7248\u672c<\/li>\n<\/ul>\n

                                      sudo ldconfig<\/p>\n

                                      protoc —<\/span>version<\/p>\n

                                      \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                      \u7b97\u5b50\u7f16\u8bd1\u90e8\u7f72<\/h4>\n
                                        \n
                                      • \u5c06\u5f53\u524d\u5de5\u4f5c\u76ee\u5f55\u5207\u6362\u5230 tiny_llama<\/li>\n<\/ul>\n

                                        \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                          \n
                                        • \u8bbe\u7f6e\u4e86\u4e00\u4e2a\u73af\u5883\u53d8\u91cf ASCEND_PATH，\u5e76\u5c06\u5176\u503c\u8bbe\u4e3a \/usr\/local\/Ascend\/ascend-toolkit\/latest<\/li>\n
                                        • export ASCEND_PATH=\/usr\/local\/Ascend\/ascend-toolkit\/latest \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/li>\n
                                        • \u5c06 custom_op\/matmul_integer_plugin.cc \u6587\u4ef6\u590d\u5236\u5230\u6307\u5b9a\u8def\u5f84<\/li>\n<\/ul>\n

                                          cp custom_op\/<\/span>matmul_integer_plugin.<\/span>cc $ASCEND_PATH\/<\/span>tools\/<\/span>msopgen\/<\/span>template<\/span>\/<\/span>custom_operator_sample\/<\/span>DSL\/<\/span>Onnx\/<\/span>framework\/<\/span>onnx_plugin\/<\/span><\/p>\n

                                            \n
                                          • cd \u8fdb\u5165 \u76ee\u6807\u6587\u4ef6\u5939\u8fdb\u884c\u914d\u7f6e<\/li>\n<\/ul>\n

                                            cd $ASCEND_PATH\/<\/span>tools\/<\/span>msopgen\/<\/span>template<\/span>\/<\/span>custom_operator_sample\/<\/span>DSL\/<\/span>Onnx<\/p>\n

                                            \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                            \u4fee\u6539\u73af\u5883\u53d8\u91cf<\/h4>\n
                                              \n
                                            • \u6253\u5f00build.sh，\u627e\u5230\u4e0b\u9762\u56db\u4e2a\u73af\u5883\u53d8\u91cf，\u89e3\u5f00\u6ce8\u91ca\u5e76\u4fee\u6539\u5982\u4e0b：<\/li>\n<\/ul>\n

                                              #\u547d\u4ee4\u4e3a vim build.<\/span>sh<\/p>\n

                                              \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                              # \u4fee\u6539\u5185\u5bb9\u4e3a
                                              \nexport<\/span> ASCEND_TENSOR_COMPILER_INCLUDE=<\/span>\/<\/span>usr\/<\/span>local\/<\/span>Ascend\/<\/span>ascend–<\/span>toolkit\/<\/span>latest\/<\/span>include
                                              \nexport<\/span> TOOLCHAIN_DIR=<\/span>\/<\/span>usr
                                              \nexport<\/span> AICPU_KERNEL_TARGET=<\/span>cust_aicpu_kernels
                                              \nexport<\/span> AICPU_SOC_VERSION=<\/span>Ascend310B4<\/p>\n

                                              \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                              \u7f16\u8bd1\u8fd0\u884c& \u4f9d\u8d56\u5b89\u88c5<\/h4>\n
                                                \n
                                              • \u7f16\u8bd1\u6784\u5efa\u9879\u76ee,\u8fdb\u5165\u5230\u6784\u5efa\u8f93\u51fa\u76ee\u5f55\u4ee5\u540e\u7eed\u5904\u7406\u751f\u6210\u7684\u6587<\/li>\n<\/ul>\n

                                                .<\/span>\/<\/span>build.<\/span>sh
                                                \ncd build_out\/<\/span><\/p>\n

                                                \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                                  \n
                                                • \u751f\u6210\u6587\u4ef6\u5230 customize \u5230\u9ed8\u8ba4\u76ee\u5f55 $ASCEND_PATH\/opp\/vendors\/<\/li>\n<\/ul>\n

                                                  .<\/span>\/<\/span>custom_opp_ubuntu_aarch64.<\/span>run<\/p>\n

                                                    \n
                                                  • \u5220\u9664\u5197\u4f59\u6587\u4ef6<\/li>\n<\/ul>\n

                                                    cd $ASCEND_PATH\/<\/span>opp\/<\/span>vendors\/<\/span>customize
                                                    \nrm –<\/span>rf op_impl\/<\/span> op_proto\/<\/span><\/p>\n

                                                    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                                      \n
                                                    • \u5b89\u88c5\u4f9d\u8d56：\u4ece\u6307\u5b9a\u7684\u534e\u4e3a\u4e91 PyPI \u955c\u50cf\u6e90\u5b89\u88c5\u6240\u9700\u7684 Python \u5305<\/li>\n<\/ul>\n

                                                      cd tiny_llama\/<\/span>inference
                                                      \npip install –<\/span>r requirements.<\/span>txt –<\/span>i https:<\/span>\/\/mirrors.huaweicloud.com\/repository\/pypi\/simple<\/span><\/p>\n

                                                        \n
                                                      • \u5148cd \u56de\u5230\u6839\u76ee\u5f55，\u5728\u8fdb\u5165\u5bb6\u76ee\u5f55，\u627e\u5230\u54b1\u4eec\u7684 tiny_llama\/inference \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/li>\n<\/ul>\n

                                                        2.3 \u63a8\u7406\u542f\u52a8<\/h3>\n
                                                          \n
                                                        • \u4e0b\u8f7dtokenizer\u6587\u4ef6<\/li>\n<\/ul>\n

                                                          cd tokenizer
                                                          \nwget https:<\/span>\/\/obs-9be7.obs.cn-east-2.myhuaweicloud.com\/wanzutao\/tiny-llama\/tokenizer.zip<\/span>
                                                          \nunzip tokenizer.<\/span>zip <\/p>\n

                                                          \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                                            \n
                                                          • \u83b7\u53d6onnx\u6a21\u578b\u6587\u4ef6<\/li>\n<\/ul>\n

                                                            cd .<\/span>.<\/span>\/<\/span>model
                                                            \nwget https:<\/span>\/\/obs-9be7.obs.cn-east-2.myhuaweicloud.com\/wanzutao\/tiny-llama\/tiny-llama.onnx<\/span><\/p>\n

                                                              \n
                                                            • \n

                                                              \u6211\u4eec\u5728\u590d\u5236\u4ee3\u7801\u7684\u65f6\u5019\u4e00\u5b9a\u8981\u4ed4\u7ec6\u55f7\u535a\u4e3b\u8fd9\u91cc\u5c11\u6253\u4e86\u4e00\u4e2aw \u5bfc\u81f4\u5e76\u6ca1\u6709\u83b7\u53d6\u5230\u6a21\u578b，\u540e\u671f\u627e\u4e86\u534a\u5929\u624d\u53d1\u73b0\u9519\u8bef\u6240\u4ee5\u63d0\u9192\u5927\u5bb6\u4e00\u5b9a\u8981\u6ce8\u610f\u597d\u6bcf\u4e00\u6b65 \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n<\/li>\n

                                                            • \n

                                                              atc\u6a21\u578b\u8f6c\u6362<\/p>\n<\/li>\n<\/ul>\n

                                                              atc —<\/span>framework=<\/span>5<\/span> —<\/span>model=<\/span>".\/tiny-llama.onnx"<\/span> —<\/span>output=<\/span>"tiny-llama"<\/span> —<\/span>input_format=<\/span>ND —<\/span>input_shape=<\/span>"input_ids:1,1;attention_mask:1,1025;position_ids:1,1;past_key_values:22,2,1,4,1024,64"<\/span> —<\/span>soc_version=<\/span>Ascend310B4 —<\/span>precision_mode=<\/span>must_keep_origin_dtype<\/p>\n

                                                              \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                                              \u4e09\u3001 \u9879\u76ee\u4f53\u9a8c<\/h2>\n

                                                              \u597d\u4e86\u5230\u8fd9\u91cc\u6211\u4eec\u5c31\u7b97\u662f\u5927\u529f\u544a\u6210\u4e86，\u53ea\u9700\u8981\u542f\u52a8\u4e00\u4e0bmian\u6587\u4ef6\u5c31OK\u4e86<\/p>\n

                                                                \n
                                                              • \u5728 cd tiny_llama\/inference \u76ee\u5f55\u4e0b\u8fd0\u884c\u547d\u4ee4<\/li>\n<\/ul>\n

                                                                python3 main.<\/span>py<\/p>\n

                                                                \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                                                  \n
                                                                • \u6253\u5f00\u7f51\u5740\u8fdb\u884c\u8bbf\u95ee<\/li>\n<\/ul>\n

                                                                  \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                                                                  Tiny-Llama\u8fd9\u4e2a\u6a21\u578b\u7531\u4e8e\u5c3a\u5bf8\u975e\u5e38\u5c0f，\u53c2\u6570\u4e5f\u53ea\u67091.1B\u3002\u6240\u4ee5\u5728\u6211\u4eec\u90e8\u7f72Tiny-Llama\u8fd9\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u63a8\u7406\u8fc7\u7a0b\u4e2d，Ai Core\u7684\u5360\u7528\u7387\u53ea\u523060%\u5de6\u53f3，\u57fa\u672c\u662f\u4e00\u79d2\u4fe9\u4e2a\u8bcd\u5de6\u53f3，\u901f\u5ea6\u4e0a\u662f\u80af\u5b9a\u6ca1\u95ee\u9898\u7684\u3002\u540e\u671f\u53ef\u4ee5\u53bb\u8bd5\u8bd5\u5347\u7ea7\u4e00\u4e0b\u5185\u5b58\u53bb\u8dd1\u4e00\u4e0b\u5f53\u4e0b\u4e3b\u6d41\u7684 \u5343\u95ee7B\u6a21\u578b \u6216\u8005 \u6e05\u534e\u7b2c\u4e8c\u4ee3\u5927\u6a21\u578b\u62e5\u6709 60 \u4ebf\u53c2\u6570 ChatGLM2 \u611f\u89c9\u7528 OrangePi AIpro \u8fd9\u5757\u677f\u5b50\u4e5f\u662f\u6ca1\u95ee\u9898\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                  \u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb3.6w\u6b21\uff0c\u70b9\u8d5e104\u6b21\uff0c\u6536\u85cf104\u6b21\u3002\u8bf4\u5230\u5927\u8bed\u8a00\u6a21\u578b\u76f8\u4fe1\u5927\u5bb6\u90fd\u4e0d\u4f1a\u964c\u751f\uff0c\u5927\u578b\u8bed\u8a00\u6a21\u578b(LLMs)\u662f\u4eba\u5de5\u667a\u80fd\u6587\u672c\u5904\u7406\u7684\u4e3b\u8981\u7c7b\u578b,\u4e5f\u73b0\u5728\u6700\u6d41\u884c\u7684\u4eba\u5de5\u667a\u80fd\u5e94\u7528\u5f62\u6001\u3002ChatGPT\u5c31\u662f\u662f\u8fc4\u4eca\u4e3a\u6b62\u6700\u8457\u540d\u7684\u4f7f\u7528LLM\u7684\u5de5\u5177,\u5b83\u7531OpenAI\u7684GPT\u6a21\u578b\u7684\u7279\u522b\u8c03\u6574\u7248\u672c\u63d0\u4f9b\u52a8\u529b\uff0c\u800c\u4eca\u5929\u6211\u4eec\u5c31\u6765\u5e26\u5927\u5bb6\u4f53\u9a8c\u4e00\u4e0b\u90e8\u7f72\u5927\u6a21\u578b\u7684\u5b9e\u6218\u3002_linux\u90e8\u7f72\u5927\u6a21\u578b<\/p>\n","protected":false},"author":2,"featured_media":27598,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[58,50,43,207,51],"topic":[],"class_list":["post-27618","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-linux","tag-50","tag-43","tag-207","tag-51"],"yoast_head":"\n\u3010linux\u670d\u52a1\u5668\u3011\u5927\u8bed\u8a00\u6a21\u578b\u5b9e\u6218\u6559\u7a0b\uff1aLLMS\u5927\u6a21\u578b\u5feb\u901f\u90e8\u7f72\u5230\u4e2a\u4eba\u670d\u52a1\u5668 - 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