{"id":8116,"date":"2025-04-18T16:28:31","date_gmt":"2025-04-18T08:28:31","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/8116.html"},"modified":"2025-04-18T16:28:31","modified_gmt":"2025-04-18T08:28:31","slug":"%e3%80%90deepseek%e9%83%a8%e7%bd%b2%e5%ae%9e%e6%88%98%e3%80%91deepseek-r1-distill-qwen-7b%ef%bc%9a%e5%9f%ba%e4%ba%8evllm-%e6%90%ad%e5%bb%ba%e9%ab%98%e6%80%a7%e8%83%bd%e6%8e%a8%e7%90%86%e6%9c%8d","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/8116.html","title":{"rendered":"\u3010DeepSeek\u90e8\u7f72\u5b9e\u6218\u3011DeepSeek-R1-Distill-Qwen-7B\uff1a\u57fa\u4e8evLLM \u642d\u5efa\u9ad8\u6027\u80fd\u63a8\u7406\u670d\u52a1\u5668"},"content":{"rendered":"

\u7cfb\u5217\u7bc7\u7ae0💥<\/h2>\n\nNo.\u6587\u7ae0<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
01<\/td>\n\u3010DeepSeek\u5e94\u7528\u5b9e\u8df5\u3011DeepSeek\u63a5\u5165Word\u3001WPS\u65b9\u6cd5\u8be6\u89e3：\u65e0\u9700\u4ee3\u7801，\u8f7b\u677e\u5b9e\u73b0\u667a\u80fd\u529e\u516c\u52a9\u624b\u529f\u80fd<\/td>\n<\/tr>\n
02<\/td>\n\u3010DeepSeek\u5e94\u7528\u5b9e\u8df5\u3011\u901a\u4e49\u7075\u7801 + DeepSeek：AI \u7f16\u7a0b\u52a9\u624b\u7684\u5b9e\u6218\u6307\u5357<\/td>\n<\/tr>\n
03<\/td>\n\u3010DeepSeek\u5e94\u7528\u5b9e\u8df5\u3011Cline\u96c6\u6210DeepSeek：\u5f00\u6e90AI\u7f16\u7a0b\u52a9\u624b，\u7ec8\u7aef\u4e0eWeb\u5f00\u53d1\u7684\u8d85\u5f3a\u52a9\u529b<\/td>\n<\/tr>\n
04<\/td>\n\u3010DeepSeek\u5f00\u53d1\u5165\u95e8\u3011DeepSeek API \u5f00\u53d1\u521d\u4f53\u9a8c<\/td>\n<\/tr>\n
05<\/td>\n\u3010DeepSeek\u5f00\u53d1\u5165\u95e8\u3011DeepSeek API\u9ad8\u7ea7\u5f00\u53d1\u6307\u5357（\u63a8\u7406\u4e0e\u591a\u8f6e\u5bf9\u8bdd\u673a\u5668\u4eba\u5b9e\u8df5）<\/td>\n<\/tr>\n
06<\/td>\n\u3010DeepSeek\u5f00\u53d1\u5165\u95e8\u3011Function Calling \u51fd\u6570\u529f\u80fd\u5e94\u7528\u5b9e\u6218\u6307\u5357<\/td>\n<\/tr>\n
07<\/td>\n\u3010DeepSeek\u90e8\u7f72\u5b9e\u6218\u3011DeepSeek-R1-Distill-Qwen-7B：\u672c\u5730\u90e8\u7f72\u4e0eAPI\u670d\u52a1\u5feb\u901f\u4e0a\u624b<\/td>\n<\/tr>\n
08<\/td>\n\u3010DeepSeek\u90e8\u7f72\u5b9e\u6218\u3011DeepSeek-R1-Distill-Qwen-7B：Web\u804a\u5929\u673a\u5668\u4eba\u90e8\u7f72\u6307\u5357<\/td>\n<\/tr>\n
09<\/td>\n\u3010DeepSeek\u90e8\u7f72\u5b9e\u6218\u3011DeepSeek-R1-Distill-Qwen-7B：\u57fa\u4e8evLLM \u642d\u5efa\u9ad8\u6027\u80fd\u63a8\u7406\u670d\u52a1\u5668<\/td>\n<\/tr>\n
10<\/td>\n\u3010DeepSeek\u90e8\u7f72\u5b9e\u6218\u3011\u57fa\u4e8eOllama\u5feb\u901f\u90e8\u7f72DeepSeek-R1\u7cfb\u5217\u6a21\u578b\u5b9e\u6218\u6307\u5357（Linux）<\/td>\n<\/tr>\n
11<\/td>\n\u3010DeepSeek\u90e8\u7f72\u5b9e\u6218\u3011\u57fa\u4e8eOllama+Chatbox\u96f6\u6210\u672c\u90e8\u7f72DeepSeek-R1\u7cfb\u5217\u6a21\u578b\u653b\u7565（Windows）<\/td>\n<\/tr>\n
12<\/td>\n\u3010DeepSeek\u5f00\u53d1\u5b9e\u6218\u3011DeepSeek-R1-Distill-Qwen\u4e0eLangChain\u7684\u672c\u5730\u5927\u6a21\u578b\u5e94\u7528\u5f00\u53d1\u6307\u5357<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u76ee\u5f55<\/h4>\n
    \n
  • \u7cfb\u5217\u7bc7\u7ae0💥<\/li>\n
  • \u524d\u8a00<\/li>\n
  • \u4e00\u3001vLLM\u6846\u67b6\u7279\u6027\u89e3\u6790<\/li>\n
  • \n
      \n
    • 1\u3001\u9ad8\u6548\u5185\u5b58\u7ba1\u7406<\/li>\n
    • 2\u3001\u541e\u5410\u91cf\u738b\u8005<\/li>\n
    • 3\u3001\u65e0\u7f1d\u751f\u6001\u96c6\u6210<\/li>\n
    • 4\u3001\u5206\u5e03\u5f0f\u63a8\u7406\u652f\u6301<\/li>\n
    • 5\u3001\u5f00\u6e90\u793e\u533a\u9a71\u52a8<\/li>\n<\/ul>\n<\/li>\n
    • \u4e8c\u3001\u73af\u5883\u914d\u7f6e\u6307\u5357<\/li>\n
    • \n
        \n
      • 1\u3001\u57fa\u7840\u73af\u5883\u8981\u6c42<\/li>\n
      • 2\u3001\u5b89\u88c5\u76f8\u5173\u4f9d\u8d56<\/li>\n
      • 3\u3001\u6a21\u578b\u6587\u4ef6\u4e0b\u8f7d<\/li>\n<\/ul>\n<\/li>\n
      • \u4e09\u3001\u6a21\u578b\u63a8\u7406\u5b9e\u8df5<\/li>\n
      • \n
          \n
        • 1\u3001\u5bfc\u5165\u76f8\u5173\u4f9d\u8d56\u5305<\/li>\n
        • 2\u3001\u5b9a\u4e49LLM\u5904\u7406\u51fd\u6570<\/li>\n
        • 3\u3001\u6307\u5b9a\u6a21\u578b\u5730\u5740&\u5b9a\u4e49\u6d88\u606f<\/li>\n
        • 4\u3001\u83b7\u53d6\u8f93\u51fa\u7ed3\u679c<\/li>\n<\/ul>\n<\/li>\n
        • \u56db\u3001OpenAI API\u670d\u52a1\u90e8\u7f72\u6d4b\u8bd5<\/li>\n
        • \n
            \n
          • 1\u3001\u53d1\u5e03OpenAI API\u670d\u52a1<\/li>\n
          • 2\u3001Completions API\u8c03\u7528<\/li>\n
          • 3\u3001Chat Completions API\u8c03\u7528<\/li>\n
          • 4\u3001\u547d\u4ee4\u884c\u8c03\u7528OpenAI API\u63a5\u53e3<\/li>\n<\/ul>\n<\/li>\n
          • \u4e94\u3001\u6700\u4f73\u5b9e\u8df5\u5efa\u8bae<\/li>\n
          • \n
              \n
            • 1. \u663e\u5b58\u4f18\u5316<\/li>\n
            • 2. \u6e29\u5ea6\u53c2\u6570<\/li>\n<\/ul>\n<\/li>\n
            • \u603b\u7ed3<\/li>\n<\/ul>\n
              \n

              \u524d\u8a00<\/h2>\n

              \u5927\u8bed\u8a00\u6a21\u578b\u7684\u843d\u5730\u5e94\u7528\u79bb\u4e0d\u5f00\u9ad8\u6548\u63a8\u7406\u6846\u67b6\u7684\u652f\u6301，vLLM\u4ee5\u5176\u5353\u8d8a\u7684\u6027\u80fd\u5728\u4f17\u591a\u6846\u67b6\u4e2d\u8131\u9896\u800c\u51fa\u3002\u672c\u6587\u5c06\u5e26\u4f60\u6df1\u5165\u63a2\u7d22\u5982\u4f55\u4f7f\u7528vLLM\u6846\u67b6\u90e8\u7f72DeepSeek-R1-Distill-Qwen\u5927\u8bed\u8a00\u6a21\u578b，\u65e0\u8bba\u662f\u6df1\u5ea6\u5b66\u4e60\u65b0\u624b\u8fd8\u662f\u6709\u7ecf\u9a8c\u7684\u5f00\u53d1\u8005，\u90fd\u80fd\u4ece\u4e2d\u83b7\u53d6\u5b9e\u7528\u7684\u77e5\u8bc6\u548c\u6280\u80fd\u3002<\/p>\n

              \u4e00\u3001vLLM\u6846\u67b6\u7279\u6027\u89e3\u6790<\/h2>\n

              1\u3001\u9ad8\u6548\u5185\u5b58\u7ba1\u7406<\/h3>\n

              \u5728\u5927\u6a21\u578b\u63a8\u7406\u4e2d，\u5185\u5b58\u7ba1\u7406\u81f3\u5173\u91cd\u8981\u3002vLLM\u72ec\u521b\u7684PagedAttention\u7b97\u6cd5，\u5982\u540c\u4e3a\u663e\u5b58\u7a7a\u95f4\u5b89\u6392\u4e86\u4e00\u4f4d\u667a\u80fd\u7ba1\u5bb6\u3002\u5b83\u501f\u9274\u64cd\u4f5c\u7cfb\u7edf\u865a\u62df\u5185\u5b58\u7ba1\u7406\u673a\u5236，\u5b9e\u73b0\u4e86KV\u7f13\u5b58\u7684\u52a8\u6001\u5206\u9875\u7ba1\u7406\u3002\u8fd9\u610f\u5473\u7740，\u5f53\u6a21\u578b\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6，\u4e0d\u518d\u9700\u8981\u4e00\u6b21\u6027\u5360\u7528\u8fde\u7eed\u7684\u663e\u5b58\u7a7a\u95f4，\u800c\u662f\u50cf\u62fc\u79ef\u6728\u4e00\u6837，\u52a8\u6001\u5206\u914d\u6240\u9700\u7684\u663e\u5b58\u5757\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d，\u76f8\u8f83\u4e8e\u4f20\u7edf\u65b9\u6848，vLLM\u7684\u5185\u5b58\u5229\u7528\u7387\u63d0\u5347\u9ad8\u8fbe24\u500d，\u8fd9\u4f7f\u5f97\u5728\u6709\u9650\u7684\u663e\u5b58\u6761\u4ef6\u4e0b，\u4e5f\u80fd\u9ad8\u6548\u8fd0\u884c\u5927\u6a21\u578b，\u5927\u5927\u964d\u4f4e\u4e86\u786c\u4ef6\u95e8\u69db\u3002<\/p>\n

              2\u3001\u541e\u5410\u91cf\u738b\u8005<\/h3>\n

              vLLM\u5728\u63a8\u7406\u901f\u5ea6\u4e0a\u582a\u79f0\u738b\u8005\u3002\u5b83\u652f\u6301\u8fde\u7eed\u6279\u5904\u7406（Continuous Batching）\u548c\u5f02\u6b65\u63a8\u7406，\u5c31\u50cf\u4e00\u4f4d\u9ad8\u6548\u7684\u6d41\u6c34\u7ebf\u5de5\u4eba，\u5728A100 GPU\u4e0a\u5b9e\u6d4b，\u541e\u5410\u91cf\u53ef\u8fbeHuggingFace Transformers\u768424\u500d\u3002\u5728\u5904\u7406\u957f\u6587\u672c\u751f\u6210\u4efb\u52a1\u65f6，\u8fd9\u79cd\u4f18\u52bf\u66f4\u4e3a\u663e\u8457\u3002\u8fde\u7eed\u6279\u5904\u7406\u6280\u672f\u8ba9vLLM\u65e0\u9700\u7b49\u5f85\u524d\u4e00\u6279\u6b21\u63a8\u7406\u5b8c\u6210，\u5c31\u80fd\u9a6c\u4e0d\u505c\u8e44\u5730\u63a5\u6536\u65b0\u4efb\u52a1，\u5145\u5206\u69a8\u5e72GPU\u7684\u8ba1\u7b97\u8d44\u6e90；\u5f02\u6b65\u63a8\u7406\u5219\u8fdb\u4e00\u6b65\u63d0\u5347\u4e86\u7cfb\u7edf\u7684\u5e76\u53d1\u5904\u7406\u80fd\u529b，\u8ba9\u591a\u4e2a\u63a8\u7406\u4efb\u52a1\u5e76\u884c\u6267\u884c，\u5927\u5927\u63d0\u9ad8\u4e86\u6574\u4f53\u5904\u7406\u6548\u7387\u3002<\/p>\n

              3\u3001\u65e0\u7f1d\u751f\u6001\u96c6\u6210<\/h3>\n

              \u751f\u6001\u517c\u5bb9\u6027\u662fvLLM\u7684\u53c8\u4e00\u4eae\u70b9\u3002\u5b83\u4e0eHuggingFace\u6a21\u578b\u5e93\u5b8c\u7f8e\u517c\u5bb9，\u652f\u6301\u8d85\u8fc750\u79cd\u4e3b\u6d41\u5927\u6a21\u578b，\u8fd9\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u8f7b\u677e\u5c06vLLM\u878d\u5165\u73b0\u6709\u7684\u57fa\u4e8eHuggingFace\u7684\u5f00\u53d1\u6d41\u7a0b\u4e2d\u3002\u540c\u65f6，vLLM\u901a\u8fc7OpenAI API\u517c\u5bb9\u8bbe\u8ba1，\u4e3a\u73b0\u6709\u57fa\u4e8eChatGPT\u7684\u5e94\u7528\u63d0\u4f9b\u4e86\u4fbf\u6377\u7684\u8fc1\u79fb\u8def\u5f84\u3002\u5f00\u53d1\u8005\u65e0\u9700\u5927\u89c4\u6a21\u4fee\u6539\u4ee3\u7801，\u5c31\u80fd\u5c06\u5e94\u7528\u8fc1\u79fb\u5230\u4f7f\u7528vLLM\u6846\u67b6\u7684DeepSeek-R1-Distill-Qwen\u5927\u8bed\u8a00\u6a21\u578b\u4e0a，\u6781\u5927\u5730\u964d\u4f4e\u4e86\u6280\u672f\u8fc1\u79fb\u6210\u672c\u3002<\/p>\n

              4\u3001\u5206\u5e03\u5f0f\u63a8\u7406\u652f\u6301<\/h3>\n

              \u5bf9\u4e8e\u5927\u89c4\u6a21\u63a8\u7406\u4efb\u52a1，vLLM\u91c7\u7528\u5f20\u91cf\u5e76\u884c（Tensor Parallelism）\u6280\u672f，\u652f\u6301\u591aGPU\u5206\u5e03\u5f0f\u63a8\u7406\u3002\u57284*A100\u7684\u73af\u5883\u4e0b\u5b9e\u6d4b，\u63a8\u7406\u901f\u5ea6\u63d0\u53473.8\u500d\u3002\u8fd9\u5c31\u597d\u6bd4\u5c06\u591a\u4e2a\u5c0f\u5f15\u64ce\u7ec4\u5408\u6210\u4e00\u4e2a\u8d85\u7ea7\u5f15\u64ce，\u5145\u5206\u5229\u7528\u591a\u5757GPU\u7684\u8ba1\u7b97\u80fd\u529b，\u5b9e\u73b0\u5927\u89c4\u6a21\u6a21\u578b\u7684\u5feb\u901f\u63a8\u7406，\u6ee1\u8db3\u4f01\u4e1a\u7ea7\u5e94\u7528\u5bf9\u9ad8\u5e76\u53d1\u3001\u4f4e\u5ef6\u8fdf\u7684\u9700\u6c42\u3002\u65e0\u8bba\u662f\u5728\u7ebf\u670d\u52a1\u8fd8\u662f\u79bb\u7ebf\u5206\u6790\u573a\u666f，\u5206\u5e03\u5f0f\u63a8\u7406\u90fd\u80fd\u663e\u8457\u63d0\u5347\u7cfb\u7edf\u6027\u80fd\u548c\u54cd\u5e94\u901f\u5ea6\u3002<\/p>\n

              5\u3001\u5f00\u6e90\u793e\u533a\u9a71\u52a8<\/h3>\n

              vLLM\u62e5\u6709\u6d3b\u8dc3\u7684\u5f00\u6e90\u793e\u533a，\u5728GitHub\u4e0a\u661f\u6807\u6570\u5df2\u7a81\u78343.9\u4e07，\u5b98\u65b9Discord\u793e\u533a\u65e5\u6d3b\u5f00\u53d1\u8005\u8d85\u8fc7500\u4eba\u3002\u793e\u533a\u6210\u5458\u4eec\u79ef\u6781\u4ea4\u6d41\u7ecf\u9a8c\u3001\u5206\u4eab\u4ee3\u7801\u3001\u63d0\u51fa\u5efa\u8bae，\u5171\u540c\u63a8\u52a8vLLM\u7684\u53d1\u5c55\u3002\u540c\u65f6，vLLM\u6301\u7eed\u4fdd\u6301\u6bcf\u54683 – 5\u6b21\u7684\u7248\u672c\u8fed\u4ee3\u66f4\u65b0，\u4e0d\u65ad\u4f18\u5316\u6027\u80fd\u3001\u4fee\u590d\u6f0f\u6d1e\u3001\u589e\u52a0\u65b0\u529f\u80fd，\u8ba9\u5f00\u53d1\u8005\u80fd\u591f\u59cb\u7ec8\u4f7f\u7528\u5230\u6700\u524d\u6cbf\u7684\u6280\u672f\u3002<\/p>\n

              \u4e8c\u3001\u73af\u5883\u914d\u7f6e\u6307\u5357<\/h2>\n

              1\u3001\u57fa\u7840\u73af\u5883\u8981\u6c42<\/h3>\n

              \u4e3a\u4e86\u9ad8\u6548\u90e8\u7f72 DeepSeek-R1-Distill-Qwen，\u63a8\u8350\u4f7f\u7528 Ubuntu 22.04 LTS \u64cd\u4f5c\u7cfb\u7edf\u3001Python 3.12 \u73af\u5883\u3001CUDA 12.1 \u4e0e PyTorch 2.3.0，\u5e76\u914d\u5907\u81f3\u5c11 24GB \u663e\u5b58\u7684 NVIDIA GPU，\u4ee5\u786e\u4fdd\u6a21\u578b\u63a8\u7406\u7684\u9ad8\u6027\u80fd\u548c\u7a33\u5b9a\u6027\u3002<\/p>\n

              2\u3001\u5b89\u88c5\u76f8\u5173\u4f9d\u8d56<\/h3>\n

              # \u914d\u7f6e\u6e05\u534e\u955c\u50cf\u6e90\u52a0\u901f\u4e0b\u8f7d<\/span>
              \npython -m<\/span> pip install<\/span> –upgrade<\/span> pip
              \npip config set<\/span> global.index-url https:\/\/pypi.tuna.tsinghua.edu.cn\/simple<\/p>\n

              # \u5b89\u88c5\u6838\u5fc3\u4f9d\u8d56\u5305<\/span>
              \npip install<\/span> modelscope<\/span>==<\/span>1.22<\/span>.3
              \npip install<\/span> openai<\/span>==<\/span>1.61<\/span>.0
              \npip install<\/span> vllm<\/span>==<\/span>0.7<\/span>.1<\/p>\n

              \u9996\u5148，\u5c06pip\u5347\u7ea7\u5230\u6700\u65b0\u7248\u672c，\u786e\u4fdd\u80fd\u4f7f\u7528\u6700\u65b0\u7684\u529f\u80fd\u548c\u7279\u6027\u3002\u7136\u540e，\u5c06pip\u6e90\u914d\u7f6e\u4e3a\u6e05\u534e\u5927\u5b66\u7684\u955c\u50cf\u6e90，\u8fd9\u6837\u5728\u4e0b\u8f7d\u4f9d\u8d56\u5305\u65f6\u80fd\u663e\u8457\u63d0\u9ad8\u4e0b\u8f7d\u901f\u5ea6，\u51cf\u5c11\u7b49\u5f85\u65f6\u95f4\u3002\u63a5\u4e0b\u6765，\u4f9d\u6b21\u5b89\u88c5\u6838\u5fc3\u4f9d\u8d56\u5e93\u3002modelscope\u5e93\u63d0\u4f9b\u7075\u6d3b\u7684\u6a21\u578b\u4e0b\u8f7d\u548c\u7ba1\u7406\u529f\u80fd，\u65b9\u4fbf\u83b7\u53d6DeepSeek-R1-Distill-Qwen\u6a21\u578b；openai\u5e93\u7528\u4e8e\u4e0evLLM\u7684OpenAI API\u517c\u5bb9\u63a5\u53e3\u8fdb\u884c\u4ea4\u4e92；vllm\u5e93\u5219\u662f\u672c\u6b21\u90e8\u7f72\u7684\u6838\u5fc3\u6846\u67b6，\u5b9e\u73b0\u9ad8\u6548\u7684\u6a21\u578b\u63a8\u7406\u3002<\/p>\n

              3\u3001\u6a21\u578b\u6587\u4ef6\u4e0b\u8f7d<\/h3>\n

              from<\/span> modelscope import<\/span> snapshot_download
              \n# \u4e0b\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\u5e76\u6307\u5b9a\u7f13\u5b58\u8def\u5f84<\/span>
              \nmodel_dir =<\/span> snapshot_download(<\/span>'deepseek-ai\/DeepSeek-R1-Distill-Qwen-7B'<\/span>,<\/span> cache_dir=<\/span>'\/root\/autodl-tmp'<\/span>,<\/span> revision=<\/span>'master'<\/span>)<\/span><\/p>\n

              \u8fd9\u6bb5\u4ee3\u7801\u7528modelscope\u5e93\u7684snapshot_download\u51fd\u6570\u4e0b\u8f7d\u6a21\u578b\u3002deepseek-ai\/DeepSeek-R1-Distill-Qwen-7B\u662f\u6a21\u578b\u5728\u5e73\u53f0\u4e0a\u7684\u540d\u5b57，cache_dir\u662f\u4f60\u8981\u628a\u6a21\u578b\u5b58\u5230\u54ea\u91cc，\u4f60\u53ef\u4ee5\u81ea\u5df1\u6539，revision='master\u2019\u8868\u793a\u4e0b\u6700\u65b0\u7248\u672c\u3002 \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

              \u4e09\u3001\u6a21\u578b\u63a8\u7406\u5b9e\u8df5<\/h2>\n

              1\u3001\u5bfc\u5165\u76f8\u5173\u4f9d\u8d56\u5305<\/h3>\n

              from<\/span> vllm import<\/span> LLM,<\/span> SamplingParams
              \nfrom<\/span> transformers import<\/span> AutoTokenizer
              \nimport<\/span> os
              \nimport<\/span> json<\/p>\n

              # \u81ea\u52a8\u4e0b\u8f7d\u6a21\u578b\u65f6，\u6307\u5b9a\u4f7f\u7528modelscope; \u5426\u5219，\u4f1a\u4eceHuggingFace\u4e0b\u8f7d<\/span>
              \nos.<\/span>environ[<\/span>'VLLM_USE_MODELSCOPE'<\/span>]<\/span>=<\/span>'True'<\/span><\/p>\n

              2\u3001\u5b9a\u4e49LLM\u5904\u7406\u51fd\u6570<\/h3>\n

              def<\/span> get_completion<\/span>(<\/span>prompts,<\/span> model,<\/span> tokenizer=<\/span>None<\/span>,<\/span> max_tokens=<\/span>8192<\/span>,<\/span> temperature=<\/span>0.6<\/span>,<\/span> top_p=<\/span>0.95<\/span>,<\/span> max_model_len=<\/span>2048<\/span>)<\/span>:<\/span>
              \n stop_token_ids =<\/span> [<\/span>151329<\/span>,<\/span> 151336<\/span>,<\/span> 151338<\/span>]<\/span>
              \n # \u521b\u5efa\u91c7\u6837\u53c2\u6570\u3002temperature \u63a7\u5236\u751f\u6210\u6587\u672c\u7684\u591a\u6837\u6027，top_p \u63a7\u5236\u6838\u5fc3\u91c7\u6837\u7684\u6982\u7387<\/span>
              \n sampling_params =<\/span> SamplingParams(<\/span>temperature=<\/span>temperature,<\/span> top_p=<\/span>top_p,<\/span> max_tokens=<\/span>max_tokens,<\/span> stop_token_ids=<\/span>stop_token_ids)<\/span>
              \n # \u521d\u59cb\u5316 vLLM \u63a8\u7406\u5f15\u64ce<\/span>
              \n llm =<\/span> LLM(<\/span>model=<\/span>model,<\/span> tokenizer=<\/span>tokenizer,<\/span> max_model_len=<\/span>max_model_len,<\/span>trust_remote_code=<\/span>True<\/span>)<\/span>
              \n outputs =<\/span> llm.<\/span>generate(<\/span>prompts,<\/span> sampling_params)<\/span>
              \nreturn<\/span> outputs<\/p>\n

              3\u3001\u6307\u5b9a\u6a21\u578b\u5730\u5740&\u5b9a\u4e49\u6d88\u606f<\/h3>\n

              # \u521d\u59cb\u5316 vLLM \u63a8\u7406\u5f15\u64ce<\/span>
              \nmodel=<\/span>'\/root\/autodl-tmp\/deepseek-ai\/DeepSeek-R1-Distill-Qwen-7B'<\/span> # \u6307\u5b9a\u6a21\u578b\u8def\u5f84<\/span>
              \n# model="deepseek-ai\/DeepSeek-R1-Distill-Qwen-7B" # \u6307\u5b9a\u6a21\u578b\u540d\u79f0，\u81ea\u52a8\u4e0b\u8f7d\u6a21\u578b<\/span>
              \ntokenizer =<\/span> None<\/span>
              \n# \u52a0\u8f7d\u5206\u8bcd\u5668\u540e\u4f20\u5165vLLM \u6a21\u578b，\u4f46\u4e0d\u662f\u5fc5\u8981\u7684\u3002<\/span>
              \n# tokenizer = AutoTokenizer.from_pretrained(model, use_fast=False) <\/span><\/p>\n

              text =<\/span> [<\/span>"\u8bf7\u5e2e\u6211\u63a8\u8350\u4e00\u79cd\u6df1\u5733\u5230\u5317\u4eac\u7684\u51fa\u884c\u65b9\u5f0f<think>\\\\n"<\/span>,<\/span> ]<\/span>
              \n# \u53ef\u7528 List \u540c\u65f6\u4f20\u5165\u591a\u4e2a prompt，\u6839\u636e DeepSeek \u5b98\u65b9\u7684\u5efa\u8bae，\u6bcf\u4e2a prompt \u90fd\u9700\u8981\u4ee5 <think>\\\\n \u7ed3\u5c3e，<\/span>
              \n#\u5982\u679c\u662f\u6570\u5b66\u63a8\u7406\u5185\u5bb9，\u5efa\u8bae\u5305\u542b（\u4e2d\u82f1\u6587\u7686\u53ef）：Please reason step by step, and put your final answer within \\\\boxed{}.<\/span><\/p>\n

              # messages = [<\/span>
              \n# {"role": "user", "content": prompt+"<think>\\\\n"}<\/span>
              \n# ]<\/span>
              \n# \u4f5c\u4e3a\u804a\u5929\u6a21\u677f\u7684\u6d88\u606f，\u4e0d\u662f\u5fc5\u8981\u7684\u3002<\/span>
              \n# text = tokenizer.apply_chat_template(<\/span>
              \n# messages,<\/span>
              \n# tokenize=False,<\/span>
              \n# add_generation_prompt=True<\/span>
              \n# )<\/span><\/p>\n

              4\u3001\u83b7\u53d6\u8f93\u51fa\u7ed3\u679c<\/h3>\n

              # \u601d\u8003\u9700\u8981\u8f93\u51fa\u66f4\u591a\u7684 Token \u6570，max_tokens \u8bbe\u4e3a 8K，\u6839\u636e DeepSeek \u5b98\u65b9\u7684\u5efa\u8bae，temperature\u5e94\u5728 0.5-0.7，\u63a8\u8350 0.6<\/span>
              \noutputs =<\/span> get_completion(<\/span>text,<\/span> model,<\/span> tokenizer=<\/span>tokenizer,<\/span> max_tokens=<\/span>8192<\/span>,<\/span> temperature=<\/span>0.6<\/span>,<\/span> top_p=<\/span>0.95<\/span>,<\/span> max_model_len=<\/span>2048<\/span>)<\/span> <\/p>\n

              # \u8f93\u51fa\u662f\u4e00\u4e2a\u5305\u542b prompt\u3001\u751f\u6210\u6587\u672c\u548c\u5176\u4ed6\u4fe1\u606f\u7684 RequestOutput \u5bf9\u8c61\u5217\u8868\u3002<\/span>
              \n# \u6253\u5370\u8f93\u51fa\u3002<\/span>
              \nfor<\/span> output in<\/span> outputs:<\/span>
              \n prompt =<\/span> output.<\/span>prompt
              \n generated_text =<\/span> output.<\/span>outputs[<\/span>0<\/span>]<\/span>.<\/span>text
              \n if<\/span> r"<\/think>"<\/span> in<\/span> generated_text:<\/span>
              \n think_content,<\/span> answer_content =<\/span> generated_text.<\/span>split(<\/span>r"<\/think>"<\/span>)<\/span>
              \n else<\/span>:<\/span>
              \n think_content =<\/span> ""<\/span>
              \n answer_content =<\/span> generated_text
              \nprint<\/span>(<\/span>f"Prompt: <\/span>{<\/span>prompt!r<\/span>}<\/span><\/span>, Think: <\/span>{<\/span>think_content!r<\/span>}<\/span><\/span>, Answer: <\/span>{<\/span>answer_content!r<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

              \u6267\u884c\u5982\u4e0b： \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

              \u6253\u5370\u7ed3\u679c\u5982\u4e0b：<\/p>\n

              Prompt:<\/span> '\u8bf7\u5e2e\u6211\u63a8\u8350\u4e00\u79cd\u6df1\u5733\u5230\u5317\u4eac\u7684\u51fa\u884c\u65b9\u5f0f<think>\\\\n'<\/span>,<\/span> Think:<\/span> '\u597d\u7684，\u6211\u73b0\u5728\u8981\u5e2e\u7528\u6237\u63a8\u8350\u4ece\u6df1\u5733\u5230\u5317\u4eac\u7684\u51fa\u884c\u65b9\u5f0f\u3002\u7528\u6237\u4e4b\u524d\u5df2\u7ecf\u95ee\u8fc7\u8fd9\u4e2a\u95ee\u9898，\u73b0\u5728\u53ef\u80fd\u9700\u8981\u8fdb\u4e00\u6b65\u7684\u4fe1\u606f\u6216\u4e0d\u540c\u7684\u9009\u9879\u3002\u9996\u5148，\u6211\u5f97\u8003\u8651\u7528\u6237\u7684\u9700\u6c42\u53ef\u80fd\u662f\u4ec0\u4e48\u3002\u4ed6\u4eec\u53ef\u80fd\u65f6\u95f4\u7d27\u8feb，\u6216\u8005\u559c\u6b22\u4e0d\u540c\u7684\u65c5\u884c\u98ce\u683c\u3002\\\\n\\\\n\u6df1\u5733\u5230\u5317\u4eac\u7684\u8def\u7ebf\u6709\u5f88\u591a，\u6bd4\u5982\u9ad8\u94c1\u3001\u98de\u673a\u3001\u5927\u5df4，\u8fd8\u6709\u53ef\u80fd\u7684\u81ea\u9a7e\u6216\u8005\u4e2d\u8f6c\u5176\u4ed6\u57ce\u5e02\u3002\u6211\u5e94\u8be5\u5148\u5217\u51fa\u51e0\u79cd\u4e3b\u8981\u7684\u4ea4\u901a\u65b9\u5f0f，\u7136\u540e\u8be6\u7ec6\u8bf4\u660e\u6bcf\u79cd\u65b9\u5f0f\u7684\u4f18\u7f3a\u70b9，\u8fd9\u6837\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u60c5\u51b5\u9009\u62e9\u3002\\\\n\\\\n\u9996\u5148，\u9ad8\u94c1\u662f\u6700\u5feb\u7684\u65b9\u5f0f，\u65f6\u95f4\u5927\u69824-5\u5c0f\u65f6，\u800c\u4e14\u8212\u9002，\u8fd8\u6709\u76f4\u8fbe\u7684\u73ed\u6b21\u3002\u4f46\u9ad8\u94c1\u9700\u8981\u63d0\u524d\u9884\u8ba2，\u7279\u522b\u662f\u8282\u5047\u65e5，\u53ef\u80fd\u8981\u63d0\u524d\u4e00\u5230\u4e24\u5468\u3002\u9ad8\u94c1\u9002\u5408\u5927\u591a\u6570\u7528\u6237，\u5c24\u5176\u662f\u90a3\u4e9b\u65f6\u95f4\u7d27\u5f20\u6216\u559c\u6b22\u9ad8\u94c1\u8212\u9002\u73af\u5883\u7684\u4eba\u3002\\\\n\\\\n\u7136\u540e\u662f\u98de\u673a，\u6df1\u5733\u6709\u673a\u573a，\u5317\u4eac\u6709\u9996\u90fd\u673a\u573a\u548c\u5927\u5174\u673a\u573a\u3002\u98de\u673a\u65f6\u95f4\u5927\u7ea62-3\u5c0f\u65f6，\u4f46\u4ef7\u683c\u6bd4\u8f83\u9ad8，\u800c\u4e14\u822a\u73ed\u53ef\u80fd\u6bd4\u8f83\u7d27\u5f20，\u5c24\u5176\u662f\u70ed\u95e8\u5b63\u8282\u3002\u5982\u679c\u7528\u6237\u559c\u6b22 direct flight，\u6216\u8005\u65f6\u95f4\u4e0d\u591f，\u98de\u673a\u662f\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002\\\\n\\\\n\u63a5\u4e0b\u6765\u662f\u5927\u5df4，\u867d\u7136\u65f6\u95f4\u8f83\u957f，\u4f46\u4ef7\u683c\u4fbf\u5b9c，\u800c\u4e14\u5728\u8f66\u4e0a\u53ef\u4ee5\u7761\u89c9，\u4f53\u9a8c\u66f4\u50cf\u65c5\u884c\u3002\u4f46\u5927\u5df4\u7684\u73ed\u6b21\u53ef\u80fd\u4e0d\u5982\u9ad8\u94c1\u9891\u7e41，\u800c\u4e14\u5728\u5927\u7ad9\u4e4b\u95f4\u53ef\u80fd\u6bd4\u8f83\u6162，\u9002\u5408\u9884\u7b97\u6709\u9650\u7684\u7528\u6237\u3002\\\\n\\\\n\u53e6\u5916，\u7528\u6237\u53ef\u80fd\u8fd8\u8003\u8651\u662f\u5426\u9700\u8981\u4e2d\u8f6c\u3002\u6bd4\u5982\u4ece\u6df1\u5733\u98de\u5230\u4e0a\u6d77，\u518d\u8f6c\u5230\u5317\u4eac，\u6216\u8005\u6df1\u5733\u5230\u5929\u6d25\u518d\u5230\u5317\u4eac\u3002\u8fd9\u6837\u7684\u8def\u7ebf\u53ef\u80fd\u5728\u4ef7\u683c\u4e0a\u66f4\u6709\u4f18\u52bf，\u4f46\u65f6\u95f4\u4f1a\u66f4\u957f，\u53ef\u80fd\u4e0d\u592a\u9002\u5408\u65f6\u95f4\u7d27\u5f20\u7684\u7528\u6237\u3002\\\\n\\\\n\u5982\u679c\u7528\u6237\u559c\u6b22\u81ea\u9a7e，\u53ef\u4ee5\u8003\u8651\u4ece\u6df1\u5733\u5230\u5317\u4eac\u81ea\u9a7e，\u4f46\u9700\u8981\u8003\u8651\u65f6\u95f4\u3001\u8def\u7ebf\u3001\u6cb9\u8d39\u7b49\u56e0\u7d20，\u800c\u4e14\u5317\u4eac\u7684\u9650\u884c\u653f\u7b56\u53ef\u80fd\u9700\u8981\u63d0\u524d\u4e86\u89e3\u3002\\\\n\\\\n\u8fd8\u6709，\u662f\u5426\u6709\u76f4\u8fbe\u7684\u9ad8\u94c1？\u6bd4\u5982\u6df1\u5733\u5317\u7ad9\u5230\u5317\u4eac\u897f\u7ad9\u7684G\u5b57\u5934\u5217\u8f66，\u8fd9\u53ef\u80fd\u662f\u4e00\u4e2a\u5feb\u901f\u7684\u9009\u62e9\u3002\u5982\u679c\u7528\u6237\u5bf9\u9ad8\u94c1\u6bd4\u8f83\u719f\u6089，\u8fd9\u6837\u7684\u9009\u62e9\u4f1a\u5f88\u65b9\u4fbf\u3002\\\\n\\\\n\u6211\u8fd8\u9700\u8981\u63d0\u9192\u7528\u6237\u6ce8\u610f\u4e00\u4e9b\u7ec6\u8282，\u6bd4\u5982\u9ad8\u94c1\u9700\u8981\u63d0\u524d\u8ba2\u7968，\u5c24\u5176\u662f\u8282\u5047\u65e5，\u53ef\u80fd\u4f1a\u6709 seat changes \u7684\u9650\u5236\u3002\u98de\u673a\u65b9\u9762，\u63d0\u524d\u9884\u8ba2\u673a\u7968，\u9009\u62e9\u5408\u9002\u7684\u822a\u73ed，\u907f\u514d\u5ef6\u8bef\u3002\\\\n\\\\n\u53e6\u5916，\u5317\u4eac\u7684\u5929\u6c14\u53ef\u80fd\u5728\u51ac\u5b63\u8f83\u51b7，\u7528\u6237\u53ef\u80fd\u9700\u8981\u5e26\u4fdd\u6696\u8863\u7269，\u6216\u8005\u8003\u8651\u662f\u5426\u9700\u8981\u63d0\u524d\u9884\u8ba2\u4f4f\u5bbf\u3002\\\\n\\\\n\u7efc\u5408\u8003\u8651，\u6211\u5e94\u8be5\u63a8\u8350\u9ad8\u94c1\u4f5c\u4e3a\u9996\u9009，\u56e0\u4e3a\u65f6\u95f4\u5feb\u3001\u8212\u9002，\u7136\u540e\u98de\u673a\u4f5c\u4e3a\u66ff\u4ee3，\u63a5\u7740\u662f\u5927\u5df4，\u6700\u540e\u662f\u4e2d\u8f6c\u6216\u81ea\u9a7e\u3002\u8fd9\u6837\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u60c5\u51b5\u548c\u9884\u7b97\u505a\u51fa\u9009\u62e9\u3002\\\\n'<\/span>,<\/span> Answer:<\/span> '\\\\n\\\\n\u6df1\u5733\u5230\u5317\u4eac\u7684\u51fa\u884c\u65b9\u5f0f\u591a\u6837，\u60a8\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u65f6\u95f4\u548c\u9884\u7b97\u9009\u62e9\u6700\u9002\u5408\u7684\u65b9\u5f0f\u3002\u4ee5\u4e0b\u662f\u51e0\u79cd\u4e3b\u8981\u7684\u51fa\u884c\u65b9\u5f0f\u63a8\u8350：\\\\n\\\\n### 1. **\u9ad8\u94c1**\\\\n – **\u4f18\u70b9**：\u65f6\u95f4\u6700\u77ed，\u7ea64-5\u5c0f\u65f6，\u8212\u9002，\u76f4\u8fbe\u3002\\\\n – **\u7f3a\u70b9**：\u9700\u8981\u63d0\u524d\u9884\u8ba2，\u8282\u5047\u65e5\u53ef\u80fd\u9700\u8981\u63d0\u524d\u4e00\u5230\u4e24\u5468\u3002\\\\n – **\u63a8\u8350\u7406\u7531**：\u5982\u679c\u65f6\u95f4\u7d27\u5f20\u4e14\u559c\u6b22\u9ad8\u94c1\u7684\u8212\u9002\u6027，\u9ad8\u94c1\u662f\u6700\u4f73\u9009\u62e9\u3002\\\\n\\\\n### 2. **\u98de\u673a**\\\\n – **\u4f18\u70b9**：\u65f6\u95f4\u8f83\u77ed，\u7ea62-3\u5c0f\u65f6，\u76f4\u8fbe\u3002\\\\n – **\u7f3a\u70b9**：\u4ef7\u683c\u8f83\u9ad8，\u822a\u73ed\u53ef\u80fd\u7d27\u5f20，\u5c24\u5176\u662f\u8282\u5047\u65e5\u3002\\\\n – **\u63a8\u8350\u7406\u7531**：\u5982\u679c\u60a8\u559c\u6b22 direct flight，\u6216\u8005\u65f6\u95f4\u4e0d\u591f，\u98de\u673a\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002\\\\n\\\\n### 3. **\u5927\u5df4**\\\\n – **\u4f18\u70b9**：\u4ef7\u683c\u4fbf\u5b9c，\u65f6\u95f4\u8f83\u957f（\u7ea68-12\u5c0f\u65f6），\u9002\u5408\u9884\u7b97\u6709\u9650\u7684\u7528\u6237\u3002\\\\n – **\u7f3a\u70b9**：\u73ed\u6b21\u53ef\u80fd\u4e0d\u5982\u9ad8\u94c1\u9891\u7e41，\u4f53\u9a8c\u53ef\u80fd\u66f4\u50cf\u65c5\u884c\u3002\\\\n – **\u63a8\u8350\u7406\u7531**：\u5982\u679c\u9884\u7b97\u6709\u9650\u4e14\u65f6\u95f4\u5141\u8bb8，\u5927\u5df4\u662f\u4e00\u4e2a\u7ecf\u6d4e\u7684\u9009\u62e9\u3002\\\\n\\\\n### 4. **\u4e2d\u8f6c**\\\\n – \u6df1\u5733\u5230\u5317\u4eac\u7684\u9ad8\u94c1\u548c\u98de\u673a\u4e3b\u8981\u73ed\u6b21\u90fd\u4ece\u5317\u4eac\u897f\u7ad9\u6216\u9996\u90fd\u673a\u573a\u51fa\u53d1，\u60a8\u4e5f\u53ef\u4ee5\u9009\u62e9\u4e2d\u8f6c，\u4f8b\u5982：\\\\n – \u6df1\u5733\u98de\u4e0a\u6d77\u6216\u5929\u6d25，\u518d\u8f6c\u4e58\u9ad8\u94c1\u6216\u98de\u673a\u5230\u5317\u4eac\u3002\\\\n – \u6df1\u5733\u98de\u5929\u6d25\u6216\u4e0a\u6d77，\u518d\u8f6c\u4e58\u9ad8\u94c1\u5230\u5317\u4eac\u3002\\\\n – **\u4f18\u70b9**：\u4ef7\u683c\u53ef\u80fd\u66f4\u4f18\u60e0，\u9002\u5408\u9884\u7b97\u6709\u9650\u7684\u7528\u6237\u3002\\\\n – **\u7f3a\u70b9**：\u65f6\u95f4\u4f1a\u66f4\u957f，\u5efa\u8bae\u63d0\u524d\u89c4\u5212\u3002\\\\n\\\\n### 5. **\u81ea\u9a7e**\\\\n – **\u4f18\u70b9**：\u65f6\u95f4\u7075\u6d3b，\u53ef\u4ee5\u4f53\u9a8c\u6cbf\u9014\u98ce\u5149\u3002\\\\n – **\u7f3a\u70b9**：\u9700\u8981\u8003\u8651\u65f6\u95f4\u548c\u8def\u7ebf，\u6cb9\u8d39\u7b49\u989d\u5916\u8d39\u7528\u3002\\\\n – **\u63a8\u8350\u7406\u7531**：\u5982\u679c\u559c\u6b22\u81ea\u9a7e，\u53ef\u4ee5\u9009\u62e9\u4ece\u6df1\u5733\u51fa\u53d1，\u6cbf\u4eac\u6606\u9ad8\u901f\u3001\u4eac\u6caa\u9ad8\u901f\u7b49\u884c\u9a76\u5230\u5317\u4eac\u3002\\\\n\\\\n### 6. **\u5176\u4ed6\u65b9\u5f0f**\\\\n – **\u516c\u5171\u4ea4\u901a**：\u6df1\u5733\u6709\u5730\u94c1\u3001\u516c\u4ea4\u7b49，\u4f46\u76f4\u63a5\u5230\u5317\u4eac\u53ef\u80fd\u4e0d\u592a\u65b9\u4fbf\u3002\\\\n – **\u5171\u4eab\u51fa\u884c**：\u5982\u7f51\u7ea6\u8f66\u670d\u52a1（\u5982\u6ef4\u6ef4\u51fa\u884c\u3001\u51fa\u79df\u8f66\u7b49），\u65b9\u4fbf\u7075\u6d3b\u3002\\\\n\\\\n### \u5efa\u8bae：\\\\n- **\u65f6\u95f4\u7d27\u8feb\u4e14\u559c\u6b22\u9ad8\u94c1**：\u9ad8\u94c1\u662f\u6700\u4f73\u9009\u62e9\u3002\\\\n- **\u559c\u6b22 direct flight**：\u98de\u673a\u662f\u4e0d\u9519\u7684\u9009\u62e9\u3002\\\\n- **\u9884\u7b97\u6709\u9650**：\u5927\u5df4\u6216\u4e2d\u8f6c\u662f\u66f4\u597d\u7684\u9009\u62e9\u3002\\\\n\\\\n\u5e0c\u671b\u8fd9\u4e9b\u4fe1\u606f\u80fd\u5e2e\u52a9\u60a8\u9009\u62e9\u5408\u9002\u7684\u51fa\u884c\u65b9\u5f0f！\u5982\u679c\u9700\u8981\u66f4\u8be6\u7ec6\u7684\u884c\u7a0b\u89c4\u5212\u6216\u9884\u8ba2\u5efa\u8bae，\u53ef\u4ee5\u544a\u8bc9\u6211\u60a8\u7684\u504f\u597d，\u6211\u4f1a\u5c3d\u529b\u5e2e\u52a9\u60a8\u3002'<\/span><\/p>\n

              \u56db\u3001OpenAI API\u670d\u52a1\u90e8\u7f72\u6d4b\u8bd5<\/h2>\n

              DeepSeek-R1-Distill-Qwen \u662f\u4e00\u6b3e\u9ad8\u6027\u80fd\u7684\u84b8\u998f\u8bed\u8a00\u6a21\u578b，\u5b83\u517c\u5bb9 OpenAI API \u534f\u8bae，\u80fd\u591f\u901a\u8fc7 vLLM \u6846\u67b6\u5feb\u901f\u521b\u5efa\u4e00\u4e2a\u672c\u5730\u7684 OpenAI API \u670d\u52a1\u5668\u3002vLLM \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u9ad8\u6548\u63a8\u7406\u6846\u67b6，\u4e13\u4e3a\u5927\u8bed\u8a00\u6a21\u578b\u8bbe\u8ba1，\u652f\u6301\u591a\u79cd\u4f18\u5316\u6280\u672f，\u5982 PagedAttention \u7b97\u6cd5，\u80fd\u591f\u663e\u8457\u63d0\u5347\u63a8\u7406\u6548\u7387\u3002\u542f\u52a8\u7684\u670d\u52a1\u5668\u9ed8\u8ba4\u76d1\u542c http:\/\/localhost:8000，\u652f\u6301\u4ee5\u4e0b\u529f\u80fd：<\/p>\n

                \n
              • Completions API：\u7528\u4e8e\u57fa\u672c\u7684\u6587\u672c\u751f\u6210\u4efb\u52a1，\u5982\u751f\u6210\u6587\u7ae0\u3001\u6545\u4e8b\u6216\u90ae\u4ef6\u3002<\/li>\n
              • Chat Completions API：\u7528\u4e8e\u5bf9\u8bdd\u4efb\u52a1，\u5982\u6784\u5efa\u804a\u5929\u673a\u5668\u4eba\u3002<\/li>\n<\/ul>\n

                1\u3001\u53d1\u5e03OpenAI API\u670d\u52a1<\/h3>\n

                \u90e8\u7f72\u670d\u52a1\u5668\u65f6，\u53ef\u4ee5\u6307\u5b9a\u4ee5\u4e0b\u53c2\u6570： \u2013host \u548c –port：\u6307\u5b9a\u670d\u52a1\u5668\u5730\u5740\u548c\u7aef\u53e3\u3002 \u2013model：\u6307\u5b9a\u6a21\u578b\u8def\u5f84\u3002 \u2013chat-template：\u6307\u5b9a\u804a\u5929\u6a21\u677f\u3002 \u2013served-model-name：\u6307\u5b9a\u670d\u52a1\u6a21\u578b\u7684\u540d\u79f0\u3002 \u2013max-model-len：\u6307\u5b9a\u6a21\u578b\u7684\u6700\u5927\u4e0a\u4e0b\u6587\u957f\u5ea6\u3002 \u4ee5\u4e0b\u662f\u542f\u52a8\u547d\u4ee4：<\/p>\n

                python -m<\/span> vllm.entrypoints.openai.api_server \\\\<\/span>
                \n –model<\/span> \/root\/autodl-tmp\/deepseek-ai\/DeepSeek-R1-Distill-Qwen-7B \\\\<\/span>
                \n –served-model-name DeepSeek-R1-Distill-Qwen-7B \\\\<\/span>
                \n –max-model-len=<\/span>2048<\/span><\/p>\n

                \u670d\u52a1\u542f\u52a8\u5982\u4e0b： \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                \u6b64\u547d\u4ee4\u5c06\u542f\u52a8\u4e00\u4e2a\u672c\u5730\u670d\u52a1\u5668，\u76d1\u542c http:\/\/localhost:8000\u3002<\/p>\n

                2\u3001Completions API\u8c03\u7528<\/h3>\n

                from<\/span> openai import<\/span> OpenAI<\/p>\n

                client =<\/span> OpenAI(<\/span>base_url=<\/span>"http:\/\/localhost:8000\/v1"<\/span>,<\/span> api_key=<\/span>"sk-xxx"<\/span>)<\/span>
                \nresponse =<\/span> client.<\/span>completions.<\/span>create(<\/span>
                \n model=<\/span>"DeepSeek-R1-Distill-Qwen-7B"<\/span>,<\/span>
                \n prompt=<\/span>"\u7b80\u5355\u4ecb\u7ecd\u4e00\u4e0bdeepseek？<think>\\\\n"<\/span>,<\/span>
                \n max_tokens=<\/span>1024<\/span>
                \n)<\/span>
                \nprint<\/span>(<\/span>response.<\/span>choices[<\/span>0<\/span>]<\/span>.<\/span>text)<\/span><\/p>\n

                \u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d，\u4f7f\u7528openai\u5e93\u521b\u5efaOpenAI\u5ba2\u6237\u7aef\u5bf9\u8c61，\u6307\u5b9abase_url\u4e3a\u672c\u5730\u542f\u52a8\u7684vLLM\u670d\u52a1\u5730\u5740http:\/\/localhost:8000\/v1，api_key\u4e3a\u4efb\u610f\u503c（\u56e0\u4e3a\u5728\u672c\u5730\u6d4b\u8bd5，\u8fd9\u91cc\u4e3b\u8981\u7528\u4e8e\u6ee1\u8db3\u63a5\u53e3\u683c\u5f0f\u8981\u6c42）\u3002\u7136\u540e，\u8c03\u7528client.completions.create\u65b9\u6cd5，\u4f20\u5165\u6a21\u578b\u540d\u79f0\u3001\u63d0\u793a\u8bcd\u548c\u6700\u5927\u751f\u6210token\u6570，\u83b7\u53d6\u6a21\u578b\u7684\u63a8\u7406\u7ed3\u679c，\u5e76\u6253\u5370\u751f\u6210\u7684\u6587\u672c\u3002\u5982\u679c\u5728\u8c03\u7528\u8fc7\u7a0b\u4e2d\u51fa\u73b0\u9519\u8bef，\u53ef\u80fd\u662f\u56e0\u4e3a\u670d\u52a1\u672a\u542f\u52a8\u3001\u53c2\u6570\u8bbe\u7f6e\u9519\u8bef\u7b49\u539f\u56e0，\u9700\u8981\u4ed4\u7ec6\u6392\u67e5\u3002<\/p>\n

                \u6a21\u578b\u54cd\u5e94\u8f93\u51fa\u5982\u4e0b：<\/p>\n

                \u597d\u7684，\u6211\u73b0\u5728\u8981\u4ecb\u7ecd\u4e00\u4e0bDeepSeek\u3002\u9996\u5148，\u6211\u5f97\u5feb\u901f\u6d4f\u89c8\u4e00\u4e0b\u7528\u6237\u63d0\u4f9b\u7684\u5185\u5bb9，\u4e86\u89e3DeepSeek\u7684\u57fa\u672c\u4fe1\u606f\u3002DeepSeek\u662f\u4e00\u5bb6\u4e13\u6ce8\u5b9e\u73b0AGI\u7684\u4e2d\u56fd\u7684\u4eba\u5de5\u667a\u80fd\u516c\u53f8，\u7531\u6df1\u5ea6\u6c42\u7d22\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u6210\u7acb，\u81f4\u529b\u4e8eAGI\u7814\u7a76\u548c\u843d\u5730\u3002<\/p>\n

                \u6211\u77e5\u9053AGI\u6307\u7684\u662f\u901a\u7528\u4eba\u5de5\u667a\u80fd，\u5373\u5728\u667a\u529b\u4e0a\u8d85\u8d8a\u4eba\u7c7b\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf，\u5177\u6709\u81ea\u4e3b\u5b66\u4e60\u3001\u63a8\u7406\u3001\u89e3\u51b3\u95ee\u9898\u7b49\u80fd\u529b\u3002\u6240\u4ee5DeepSeek\u7684\u9879\u76ee\u76ee\u6807\u5c31\u662f\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u63a5\u4e0b\u6765，\u4ed6\u4eec\u7684\u7814\u7a76\u9886\u57df\u5305\u62ec\u8ba4\u77e5\u79d1\u5b66\u3001\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u91cf\u5b50\u8ba1\u7b97\u3001\u8111\u673a\u63a5\u53e3\u548c\u5143\u5b66\u4e60，\u8fd9\u4e9b\u90fd\u662fAGI\u7814\u7a76\u7684\u91cd\u8981\u65b9\u5411\u3002<\/p>\n

                \u7136\u540e\u770b\u4e86\u4e00\u4e0b\u4ed6\u4eec\u7684\u65b9\u5411，\u5305\u62ec\u8ba4\u77e5\u5efa\u6a21\u4e0e\u7406\u89e3\u3001\u81ea\u7531\u610f\u5fd7\u4e0e\u51b3\u7b56\u3001\u91cf\u5b50\u8ba1\u7b97\u4e0e\u7b97\u529b\u63d0\u5347\u3001\u8111\u673a\u4ea4\u4e92\u4e0e\u610f\u8bc6\u63d0\u5347\u3001\u5143\u5b66\u4e60\u4e0e\u81ea\u9002\u5e94\u5b66\u4e60\u3002\u8fd9\u4e9b\u542c\u8d77\u6765\u6bd4\u8f83\u5e7f\u6cdb，\u6db5\u76d6\u4e86\u591a\u4e2a\u6280\u672f\u9886\u57df\u3002\u6280\u672f\u80fd\u529b\u65b9\u9762\u63d0\u5230\u4e86\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u6570\u503c\u8ba1\u7b97\u7b49，\u8fd9\u4e9b\u90fd\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u6838\u5fc3\u9886\u57df，\u7279\u522b\u662f\u6df1\u5ea6\u5b66\u4e60\u5728\u8fd9\u4e9b\u65b9\u9762\u7684\u5e94\u7528\u3002<\/p>\n

                \u533b\u7597\u3001\u6559\u80b2\u3001 withdrawal\u8fd9\u4e9b\u5e94\u7528\u9886\u57df，\u5c24\u5176\u662f\u533b\u7597\u548c\u6559\u80b2，\u90fd\u662fAI\u5e94\u7528\u7684\u91cd\u8981\u65b9\u5411\u3002\u533b\u7597AI\u53ef\u4ee5\u5e2e\u52a9\u8bca\u65ad\u75be\u75c5，\u63d0\u9ad8\u6cbb\u7597\u6548\u679c；\u6559\u80b2AI\u53ef\u4ee5\u63d0\u4f9b\u4e2a\u6027\u5316\u5b66\u4e60\u4f53\u9a8c，\u63d0\u9ad8\u6559\u80b2\u6548\u7387\u3002<\/p>\n

                \u6700\u540e，\u4ed6\u4eec\u7684\u613f\u666f\u662f\u8ba9\u7528\u6237\u4e0eAI\u6210\u4e3a\u5b8c\u7f8e\u7684\u534f\u4f5c\u4f19\u4f34，\u8fd9\u53ef\u80fd\u610f\u5473\u7740DeepSeek\u5e0c\u671b\u901a\u8fc7\u5176\u6280\u672f\u5e2e\u52a9\u7528\u6237\u66f4\u9ad8\u6548\u5730\u89e3\u51b3\u5404\u79cd\u95ee\u9898，\u63d0\u5347\u751f\u6d3b\u8d28\u91cf\u548c\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n

                \u6574\u4f53\u6765\u770b，DeepSeek\u662f\u4e00\u5bb6\u81f4\u529b\u4e8e\u5b9e\u73b0AGI\u7684\u516c\u53f8，\u6d89\u53ca\u591a\u4e2a\u6280\u672f\u9886\u57df，\u5e76\u4e14\u6709\u660e\u786e\u7684\u5e94\u7528\u76ee\u6807，\u8fd9\u4f7f\u5f97\u4ed6\u4eec\u7684 work likely \u5728AI\u9886\u57df\u6709\u4e0d\u9519\u7684\u5f71\u54cd\u529b\u3002\u5982\u679c\u6709\u65f6\u95f4，\u6211\u60f3\u6df1\u5165\u4e86\u89e3\u5b83\u4eec\u7684\u7814\u7a76\u65b9\u6cd5\u3001\u53d6\u5f97\u7684\u6210\u679c\u4ee5\u53ca\u9762\u4e34\u7684\u6311\u6218\u3002<\/p>\n

                \u73b0\u5728，\u6211\u8981\u68c0\u67e5\u4e00\u4e0b\u662f\u5426\u7406\u89e3\u6b63\u786e，\u4ee5\u53ca\u4fe1\u606f\u662f\u5426\u6709\u9057\u6f0f\u3002\u6bd4\u5982，DeepSeek\u7684\u6210\u7acb\u80cc\u666f\u662f\u4ec0\u4e48？\u6211\u9700\u8981\u786e\u4fdd\u201c\u6df1\u5ea6\u6c42\u7d22\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u201d\u662f\u5176\u6210\u7acb\u7684\u80cc\u666f，\u800c\u975e\u5176\u4ed6\u3002\u6b64\u5916，AGI\u7684\u5b9a\u4e49\u662f\u5426\u6b63\u786e，\u662f\u5426\u6709\u5176\u4ed6\u516c\u53f8\u4e5f\u5728 chasing AGI？<\/p>\n

                \u53e6\u5916，DeepSeek\u7684\u5177\u4f53\u6280\u672f\u624b\u6bb5\u662f\u4ec0\u4e48？\u662f\u57fa\u4e8e\u7279\u5b9a\u6a21\u578b\u6216\u7b97\u6cd5\u7684\u521b\u65b0？\u63d0\u5230\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u7b49，\u8fd9\u4e9b\u5177\u4f53\u5982\u4f55\u5b9e\u73b0AGI\u7684\u76ee\u6807？<\/p>\n

                \u5728\u5e94\u7528\u65b9\u9762， withdraw\u7684\u5e94\u7528\u53ef\u80fd\u662f\u6307\u7528\u6237\u9000\u51fa\u6216\u5176\u4ed6\u529f\u80fd，\u53ef\u80fd\u9700\u8981\u66f4\u6b63\u3002\u6b64\u5916，\u6280\u672f\u80fd\u529b\u90e8\u5206\u53ef\u80fd\u9700\u8981\u66f4\u8be6\u7ec6\u5730\u89e3\u91ca\u6bcf\u4e2a\u6280\u672f\u5982\u4f55\u652f\u6301AGI\u3002<\/p>\n

                \u603b\u7ed3\u6765\u8bf4，\u6211\u9700\u8981\u786e\u4fdd\u5728\u4ecb\u7ecd\u4e2d\u51c6\u786e\u4f20\u8fbeDeepSeek\u7684\u6838\u5fc3\u76ee\u6807\u3001\u7814\u7a76\u9886\u57df\u3001\u6280\u672f\u80fd\u529b\u4ee5\u53ca\u5e94\u7528，\u540c\u65f6\u6ce8\u610f\u4f7f\u7528\u51c6\u786e\u7684\u4e13\u4e1a\u672f\u8bed，\u5e76\u4fdd\u6301\u903b\u8f91\u6e05\u6670\u3002
                \n<<\/span>\/<\/span>think><\/span><\/p>\n

                DeepSeek \u662f\u4e00\u5bb6\u4e13\u6ce8\u5b9e\u73b0\u901a\u7528\u4eba\u5de5\u667a\u80fd（AGI）\u7684\u4e2d\u56fd\u516c\u53f8，\u7531\u6df1\u5ea6\u6c42\u7d22\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u6210\u7acb\u4e8e2023<\/span>\u5e74\u3002\u5176\u76ee\u6807\u662f\u901a\u8fc7\u7814\u7a76\u548c\u5b9e\u73b0AGI，\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\u6280\u672f\u7684\u53d8\u9769\u6027\u53d1\u5c55\u3002\u4ee5\u4e0b\u662fDeepSeek\u7684\u8be6\u7ec6\u4ecb\u7ecd：<\/p>\n

                1.<\/span> **<\/span>\u80cc\u666f\u4e0e\u76ee\u6807**<\/span>
                \n –<\/span> **<\/span>\u6210\u7acb\u80cc\u666f**<\/span>：\u7531\u6df1\u5ea6\u6c42\u7d22\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u6210\u7acb，\u81f4\u529b\u4e8eAGI\u7814\u7a76\u548c\u843d\u5730\u3002
                \n –<\/span> **<\/span>\u6838\u5fc3\u76ee\u6807**<\/span>：\u5b9e\u73b0AGI，\u5373\u8d85\u8d8a\u4eba\u7c7b\u667a\u529b\u6c34\u5e73\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf，\u5177\u5907\u81ea\u4e3b\u5b66\u4e60\u3001\u63a8\u7406\u548c\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u3002<\/p>\n

                2.<\/span> **<\/span>\u7814\u7a76\u9886\u57df**<\/span>
                \n –<\/span> \u6db5\u76d6\u8ba4\u77e5\u79d1\u5b66\u3001\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u91cf\u5b50\u8ba1\u7b97\u3001\u8111\u673a\u63a5\u53e3\u548c\u5143\u5b66\u4e60，\u6db5\u76d6\u591a\u4e2a\u5173\u952e\u9886\u57df，\u5305\u62ec\u4f46\u4e0d\u4ec5\u9650\u4e8e\u8ba4\u77e5\u5efa\u6a21\u4e0e\u7406\u89e3\u3001\u81ea\u7531\u610f\u5fd7\u4e0e\u51b3\u7b56\u3001\u91cf\u5b50\u8ba1\u7b97\u4e0e\u7b97\u529b\u63d0\u5347\u3001\u8111\u673a\u4ea4\u4e92\u4e0e\u610f\u8bc6\u63d0\u5347\u4ee5\u53ca\u5143\u5b66\u4e60\u4e0e\u81ea\u9002\u5e94\u5b66\u4e60\u3002<\/p>\n

                3.<\/span> **<\/span>\u6280\u672f\u80fd\u529b**<\/span>
                \n –<\/span> \u5e94\u7528\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u6570\u503c\u8ba1\u7b97\u3001\u5143\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u7b49\u6280\u672f\u9886\u57df，\u63a8\u52a8\u65b0\u5174\u6280\u672f\u7684\u53d1\u5c55，\u7279\u522b\u662f\u6df1\u5ea6\u5b66\u4e60\u5728\u5404\u9886\u57df\u7684\u521b\u65b0\u5e94\u7528\u3002<\/p>\n

                4.<\/span> **<\/span>\u5e94\u7528\u9886\u57df**<\/span>
                \n –<\/span> **<\/span>\u533b\u7597**<\/span>：\u901a\u8fc7AI\u63d0\u9ad8\u8bca\u65ad\u51c6\u786e\u6027\u548c\u6cbb\u7597\u6548\u679c，\u4f18\u5316\u8d44\u6e90\u914d\u7f6e，\u63d0\u5347\u533b\u7597\u670d\u52a1\u3002
                \n –<\/span> **<\/span>\u6559\u80b2**<\/span>：\u63d0\u4f9b\u4e2a\u6027\u5316\u5b66\u4e60\u65b9\u6848，\u63d0\u5347\u5b66\u4e60\u4f53\u9a8c\u548c\u6559\u80b2\u6548\u7387\u3002
                \n –<\/span> **<\/span>\u5176\u4ed6**<\/span>：DeepSeek \u8fd8\u63a2\u7d22\u5728 withdrawals \u884c\u4e1a\u7684\u5e94\u7528，\u5982\u5b89\u5168\u76d1\u63a7\u548c\u5e94\u6025\u54cd\u5e94\u7b49\u9886\u57df\u3002<\/p>\n

                5.<\/span> **<\/span>\u613f\u666f**<\/span>
                \n –<\/span> \u8ba9\u7528\u6237\u4e0eAI\u6210\u4e3a\u5b8c\u7f8e\u7684\u534f\u4f5c\u4f19\u4f34，\u63d0\u5347\u751f\u6d3b\u8d28\u91cf\u548c\u5de5\u4f5c\u6548\u7387，\u5b9e\u73b0\u4eba\u673a\u5b8c\u7f8e\u7684\u534f\u4f5c\u3002<\/p>\n

                **<\/span>\u8865\u5145\u8bf4\u660e**<\/span>：
                \n–<\/span> **<\/span>\u6210\u7acb\u80cc\u666f**<\/span>：\u4f5c\u4e3a\u4e00\u5bb6\u65b0\u5174\u7684\u9ad8\u79d1\u6280\u516c\u53f8，DeepSeek\u53ef\u80fd\u5c1a\u672a\u83b7\u5f97\u5e7f\u6cdb\u7684\u5173\u6ce8，\u4f46\u5176\u4e13\u6ce8\u4e8eAGI\u7684\u7814\u7a76，\u53ef\u80fd\u5728\u91cf\u5b50\u8ba1\u7b97\u3001\u8111\u673a\u63a5\u53e3\u7b49\u9886\u57df\u5177\u5907\u5148\u53d1\u4f18\u52bf\u3002
                \n–<\/span> **<\/span>AGI\u6311\u6218**<\/span>：AGI\u7684\u5b9e\u73b0\u4ecd\u9762\u4e34\u5de8\u5927\u6311\u6218，\u5305\u62ec\u6280\u672f\u7a81\u7834\u3001\u4f26\u7406\u95ee\u9898\u548c\u5e94\u7528\u5b89\u5168\u7b49，DeepSeek\u7684\u8fdb\u5c55\u503c\u5f97\u6301\u7eed\u5173\u6ce8\u3002
                \n–<\/span> **<\/span>\u6280\u672f\u624b\u6bb5**<\/span>：\u5177\u4f53\u7684\u521b\u65b0\u53ef\u80fd\u5305\u62ec\u65b0\u578b\u7b97\u6cd5\u3001\u786c\u4ef6\u52a0\u901f\u6280\u672f\u6216\u8de8\u5b66\u79d1\u7684\u56fd\u9645\u5408\u4f5c，\u4ee5\u7a81\u7834\u73b0\u6709\u6280\u672f\u9650\u5236\u3002<\/p>\n

                DeepSeek\u7684\u6210\u7acb\u6807\u5fd7\u7740\u4e2d\u56fdAI\u751f\u6001\u4e2d\u7684\u53c8\u4e00\u91cd\u8981\u53c2\u4e0e\u8005，\u5176\u76ee\u6807\u4e0d\u4ec5\u662f\u6280\u672f\u7a81\u7834，\u66f4\u662f\u63a8\u52a8\u793e\u4f1a\u7684\u6574\u4f53\u53d1\u5c55\u3002<\/p>\n

                3\u3001Chat Completions API\u8c03\u7528<\/h3>\n

                chat_response =<\/span> client.<\/span>chat.<\/span>completions.<\/span>create(<\/span>
                \n model=<\/span>"DeepSeek-R1-Distill-Qwen-7B"<\/span>,<\/span>
                \n messages=<\/span>[<\/span>{<\/span>"role"<\/span>:<\/span> "user"<\/span>,<\/span> "content"<\/span>:<\/span> "\u6211\u4e70\u4e8610\u4e2a\u82f9\u679c，\u7ed9\u4e86\u4f603\u4e2a，\u81ea\u5df1\u5403\u4e861\u4e2a，\u8fd8\u5269\u51e0\u4e2a？"<\/span>}<\/span>]<\/span>
                \n)<\/span>
                \nprint<\/span>(<\/span>chat_response.<\/span>choices[<\/span>0<\/span>]<\/span>.<\/span>message.<\/span>content)<\/span><\/p>\n

                \u6b64\u4ee3\u7801\u7528\u4e8e\u8c03\u7528Chat Completions API，\u901a\u8fc7client.chat.completions.create\u65b9\u6cd5，\u4f20\u5165\u6a21\u578b\u540d\u79f0\u548c\u5305\u542b\u7528\u6237\u6d88\u606f\u7684\u5217\u8868，\u83b7\u53d6\u804a\u5929\u6a21\u5f0f\u4e0b\u7684\u63a8\u7406\u7ed3\u679c，\u5e76\u6253\u5370\u6a21\u578b\u751f\u6210\u7684\u56de\u7b54\u5185\u5bb9\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d，\u53ef\u4ee5\u6839\u636e\u7528\u6237\u9700\u6c42，\u4f18\u5316\u63d0\u793a\u8bcd\u548c\u6d88\u606f\u5217\u8868，\u4ee5\u83b7\u5f97\u66f4\u51c6\u786e\u3001\u66f4\u6709\u7528\u7684\u56de\u7b54\u3002<\/p>\n

                \u6a21\u578b\u54cd\u5e94\u8f93\u51fa\u5982\u4e0b：<\/p>\n

                \u4f60\u4e70\u4e86\u603b\u517110<\/span>\u4e2a\u82f9\u679c\u3002<\/p>\n

                \u7ed9\u4e86\u5bf9\u65b93<\/span>\u4e2a， yourself\u5269\u4e0b10<\/span>\u51cf\u53bb3<\/span>\u7b49\u4e8e7<\/span>\u4e2a\u82f9\u679c\u3002<\/p>\n

                \u63a5\u7740，\u81ea\u5df1\u53c8\u5403\u4e861<\/span>\u4e2a\u82f9\u679c，\u5269\u4e0b7<\/span>\u51cf\u53bb1<\/span>\u7b49\u4e8e6<\/span>\u4e2a\u82f9\u679c\u3002<\/p>\n

                \u6240\u4ee5，\u6700\u7ec8\u5269\u4e0b6<\/span>\u4e2a\u82f9\u679c\u3002
                \n<<\/span>\/<\/span>think><\/span><\/p>\n

                **<\/span>\u89e3\u7b54：**<\/span><\/p>\n

                1.<\/span> **<\/span>\u603b\u82f9\u679c\u6570**<\/span>：\u4f60\u6700\u521d\u670910<\/span>\u4e2a\u82f9\u679c\u3002<\/p>\n

                2.<\/span> **<\/span>\u7ed9\u5bf9\u65b93<\/span>\u4e2a**<\/span>：
                \n \\\\(<\/span> 10<\/span> –<\/span> 3<\/span> =<\/span> 7<\/span> \\\\)<\/span>
                \n \u4f60\u5269\u4e0b7<\/span>\u4e2a\u82f9\u679c\u3002<\/p>\n

                3.<\/span> **<\/span>\u81ea\u5df1\u5403\u4e861<\/span>\u4e2a**<\/span>：
                \n \\\\(<\/span> 7<\/span> –<\/span> 1<\/span> =<\/span> 6<\/span> \\\\)<\/span>
                \n \u6700\u7ec8\u5269\u4e0b6<\/span>\u4e2a\u82f9\u679c\u3002<\/p>\n

                **<\/span>\u7b54\u6848：\\\\boxed{<\/span>6<\/span>}<\/span>**<\/span><\/p>\n

                4\u3001\u547d\u4ee4\u884c\u8c03\u7528OpenAI API\u63a5\u53e3<\/h3>\n

                \u547d\u4ee4\u884c\u8c03\u7528\u793a\u4f8b\u5982\u4e0b：<\/p>\n

                curl<\/span> http:\/\/localhost:8000\/v1\/completions \\\\<\/span>
                \n -H<\/span> "Content-Type: application\/json"<\/span> \\\\<\/span>
                \n -d<\/span> '{
                \n "model": "DeepSeek-R1-Distill-Qwen-7B",
                \n "prompt": "\u6211\u4e70\u4e8610\u4e2a\u82f9\u679c，\u7ed9\u4e86\u4f603\u4e2a，\u81ea\u5df1\u5403\u4e861\u4e2a，\u8fd8\u5269\u51e0\u4e2a？<think>\\\\n",
                \n "max_tokens": 1024,
                \n "temperature": 0
                \n}'<\/span><\/p>\n

                \u6267\u884c\u7ed3\u679c\u5982\u4e0b： \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

                \u4e94\u3001\u6700\u4f73\u5b9e\u8df5\u5efa\u8bae<\/h2>\n

                1. \u663e\u5b58\u4f18\u5316<\/h3>\n

                \u5bf9\u4e8e\u914d\u590724G\u663e\u5b58\u76843090\u663e\u5361，\u5efa\u8bae\u8bbe\u7f6emax_model_len=2048\u3002\u56e0\u4e3a\u6a21\u578b\u957f\u5ea6\u4e0e\u663e\u5b58\u5360\u7528\u5bc6\u5207\u76f8\u5173，\u5408\u7406\u8bbe\u7f6emax_model_len，\u53ef\u4ee5\u907f\u514d\u56e0\u6a21\u578b\u957f\u5ea6\u8fc7\u5927\u5bfc\u81f4\u663e\u5b58\u4e0d\u8db3\u7684\u95ee\u9898，\u786e\u4fdd\u6a21\u578b\u80fd\u591f\u7a33\u5b9a\u8fd0\u884c\u3002\u5982\u679c\u9700\u8981\u5904\u7406\u66f4\u957f\u7684\u6587\u672c，\u53ef\u4ee5\u8003\u8651\u589e\u52a0\u663e\u5b58\u6216\u8005\u4f18\u5316\u6a21\u578b\u7ed3\u6784\u3002<\/p>\n

                2. \u6e29\u5ea6\u53c2\u6570<\/h3>\n

                \u5728\u4e0d\u540c\u7684\u4efb\u52a1\u573a\u666f\u4e0b，\u5408\u7406\u8c03\u6574\u6e29\u5ea6\u53c2\u6570（temperature）\u81f3\u5173\u91cd\u8981\u3002\u5bf9\u4e8e\u521b\u9020\u6027\u4efb\u52a1，\u5982\u6587\u672c\u521b\u4f5c\u3001\u6545\u4e8b\u751f\u6210\u7b49，\u5efa\u8bae\u5c06temperature\u8bbe\u7f6e\u4e3a0.7 – 0.9，\u8fd9\u6837\u53ef\u4ee5\u4f7f\u751f\u6210\u7684\u6587\u672c\u66f4\u52a0\u591a\u6837\u5316\u548c\u5bcc\u6709\u521b\u610f；\u5bf9\u4e8e\u903b\u8f91\u63a8\u7406\u4efb\u52a1，\u5982\u6570\u5b66\u8ba1\u7b97\u3001\u77e5\u8bc6\u95ee\u7b54\u7b49，\u5efa\u8bae\u5c06temperature\u8bbe\u7f6e\u4e3a0.3 – 0.5，\u4ee5\u786e\u4fdd\u751f\u6210\u7684\u6587\u672c\u66f4\u52a0\u51c6\u786e\u548c\u903b\u8f91\u4e25\u8c28\u3002<\/p>\n

                \u603b\u7ed3<\/h2>\n

                \u901a\u8fc7\u672c\u6587\u7684\u8be6\u7ec6\u4ecb\u7ecd，\u4f60\u5df2\u7ecf\u638c\u63e1\u4e86\u4f7f\u7528vLLM\u6846\u67b6\u90e8\u7f72DeepSeek-R1-Distill-Qwen\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5168\u6d41\u7a0b\u3002\u4ecevLLM\u6846\u67b6\u7684\u7279\u6027\u89e3\u6790，\u5230\u73af\u5883\u914d\u7f6e\u3001\u6a21\u578b\u90e8\u7f72\u3001API\u63a5\u53e3\u6d4b\u8bd5，\u518d\u5230\u6700\u4f73\u5b9e\u8df5\u5efa\u8bae，\u6bcf\u4e00\u6b65\u90fd\u4e3a\u4f60\u5728\u5927\u8bed\u8a00\u6a21\u578b\u90e8\u7f72\u7684\u9053\u8def\u4e0a\u63d0\u4f9b\u4e86\u575a\u5b9e\u7684\u6307\u5f15\u3002\u5e0c\u671b\u4f60\u5728\u5b9e\u9645\u5e94\u7528\u4e2d，\u80fd\u591f\u7075\u6d3b\u8fd0\u7528\u8fd9\u4e9b\u77e5\u8bc6，\u5145\u5206\u53d1\u6325vLLM\u548cDeepSeek-R1-Distill-Qwen\u6a21\u578b\u7684\u4f18\u52bf，\u5b9e\u73b0\u66f4\u591a\u521b\u65b0\u7684\u5e94\u7528\u3002<\/p>\n

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

                🎯🔖\u66f4\u591a\u4e13\u680f\u7cfb\u5217\u6587\u7ae0：AI\u5927\u6a21\u578b\u63d0\u793a\u5de5\u7a0b\u5b8c\u5168\u6307\u5357\u3001AI\u5927\u6a21\u578b\u63a2\u7d22\u4e4b\u8def（\u96f6\u57fa\u7840\u5165\u95e8）\u3001AI\u5927\u6a21\u578b\u9884\u8bad\u7ec3\u5fae\u8c03\u8fdb\u9636\u3001AI\u5927\u6a21\u578b\u5f00\u6e90\u7cbe\u9009\u5b9e\u8df5\u3001AI\u5927\u6a21\u578bRAG\u5e94\u7528\u63a2\u7d22\u5b9e\u8df5🔥🔥🔥 \u5176\u4ed6\u4e13\u680f\u53ef\u4ee5\u67e5\u770b\u535a\u5ba2\u4e3b\u9875📑<\/p>\n

                😎 \u4f5c\u8005\u4ecb\u7ecd：\u6211\u662f\u5bfb\u9053AI\u5c0f\u5175，\u8d44\u6df1\u7a0b\u5e8f\u8001\u733f，\u4ece\u4e1a10\u5e74+\u3001\u4e92\u8054\u7f51\u7cfb\u7edf\u67b6\u6784\u5e08，\u76ee\u524d\u4e13\u6ce8\u4e8eAIGC\u7684\u63a2\u7d22\u3002 📖 \u6280\u672f\u4ea4\u6d41：\u6b22\u8fce\u5173\u6ce8\u3010\u5c0f\u5175\u7684AI\u89c6\u754c\u3011\u516c\u4f17\u53f7\u6216\u626b\u63cf\u4e0b\u65b9👇\u4e8c\u7ef4\u7801，\u52a0\u5165\u6280\u672f\u4ea4\u6d41\u7fa4，\u5f00\u542f\u7f16\u7a0b\u63a2\u7d22\u4e4b\u65c5\u3002 💘\u7cbe\u5fc3\u51c6\u5907📚500\u672c\u7f16\u7a0b\u7ecf\u5178\u4e66\u7c4d\u3001💎AI\u4e13\u4e1a\u6559\u7a0b，\u4ee5\u53ca\u9ad8\u6548AI\u5de5\u5177\u3002\u7b49\u4f60\u52a0\u5165，\u4e0e\u6211\u4eec\u4e00\u540c\u6210\u957f，\u5171\u94f8\u8f89\u714c\u672a\u6765\u3002 \u5982\u679c\u6587\u7ae0\u5185\u5bb9\u5bf9\u60a8\u6709\u6240\u89e6\u52a8，\u522b\u5fd8\u4e86\u70b9\u8d5e\u3001\u2b50\u5173\u6ce8，\u6536\u85cf<\/font>！\u52a0\u5165\u6211，\u8ba9\u6211\u4eec\u643a\u624b\u540c\u884cAI\u7684\u63a2\u7d22\u4e4b\u65c5，\u4e00\u8d77\u5f00\u542f\u667a\u80fd\u65f6\u4ee3\u7684\u5927\u95e8！<\/p>\n","protected":false},"excerpt":{"rendered":"

                \u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb2.8k\u6b21\uff0c\u70b9\u8d5e94\u6b21\uff0c\u6536\u85cf94\u6b21\u3002\u5927\u8bed\u8a00\u6a21\u578b\u7684\u843d\u5730\u5e94\u7528\u79bb\u4e0d\u5f00\u9ad8\u6548\u63a8\u7406\u6846\u67b6\u7684\u652f\u6301\uff0cvLLM\u4ee5\u5176\u5353\u8d8a\u7684\u6027\u80fd\u5728\u4f17\u591a\u6846\u67b6\u4e2d\u8131\u9896\u800c\u51fa\u3002\u672c\u6587\u5c06\u5e26\u4f60\u6df1\u5165\u63a2\u7d22\u5982\u4f55\u4f7f\u7528vLLM\u6846\u67b6\u90e8\u7f72DeepSeek-R1-Distill-Qwen\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u65e0\u8bba\u662f\u6df1\u5ea6\u5b66\u4e60\u65b0\u624b\u8fd8\u662f\u6709\u7ecf\u9a8c\u7684\u5f00\u53d1\u8005\uff0c\u90fd\u80fd\u4ece\u4e2d\u83b7\u53d6\u5b9e\u7528\u7684\u77e5\u8bc6\u548c\u6280\u80fd\u3002# \u521b\u5efa\u91c7\u6837\u53c2\u6570\u3002temperature \u63a7\u5236\u751f\u6210\u6587\u672c\u7684\u591a\u6837\u6027\uff0ctop_p \u63a7\u5236\u6838\u5fc3\u91c7\u6837\u7684\u6982\u7387# \u521d\u59cb\u5316 vLLM \u63a8\u7406\u5f15\u64ce# \u521d\u59cb\u5316 vLLM \u63a8\u7406\u5f15\u64ce\u3002_vllm\u672c\u5730\u90e8\u7f72deepseek r1 7b \u6a21\u578b<\/p>\n","protected":false},"author":2,"featured_media":8111,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[49,52,53,50,51],"topic":[],"class_list":["post-8116","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-deepseek","tag-aigc","tag-ai","tag-50","tag-51"],"yoast_head":"\n\u3010DeepSeek\u90e8\u7f72\u5b9e\u6218\u3011DeepSeek-R1-Distill-Qwen-7B\uff1a\u57fa\u4e8evLLM \u642d\u5efa\u9ad8\u6027\u80fd\u63a8\u7406\u670d\u52a1\u5668 - 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