{"id":112452,"date":"2026-10-03T18:40:52","date_gmt":"2026-10-03T10:40:52","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/112452.html"},"modified":"2026-10-03T18:40:52","modified_gmt":"2026-10-03T10:40:52","slug":"%e6%9c%ac%e5%9c%b0%e9%83%a8%e7%bd%b2%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%ae%9e%e6%88%98%ef%bc%9aollama%e3%80%81llama-cpp%e3%80%81vllm-%e6%80%8e%e4%b9%88%e9%80%89%ef%bc%88%e9%99%84%e5%ae%8c%e6%95%b4%e5%91%bd","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/112452.html","title":{"rendered":"\u672c\u5730\u90e8\u7f72\u5927\u6a21\u578b\u5b9e\u6218\uff1aOllama\u3001llama.cpp\u3001vLLM \u600e\u4e48\u9009\uff08\u9644\u5b8c\u6574\u547d\u4ee4\uff09"},"content":{"rendered":"

\u672c\u5730\u90e8\u7f72\u5927\u6a21\u578b\u5b9e\u6218：Ollama\u3001llama.cpp\u3001vLLM \u600e\u4e48\u9009（\u9644\u5b8c\u6574\u547d\u4ee4）<\/h2>\n

LLM \u7cfb\u5217\u53c8\u4e00\u7bc7\u3002\u4e4b\u524d\u8bb2\u8fc7\u6a21\u578b\u79d1\u666e（\u5f00\u6e90\u9635\u8425\u80fd\u81ea\u5df1\u90e8\u7f72）\u548c Jev（\u95ed\u6e90\u6258\u7ba1 API）\u2014\u2014\u8fd9\u7bc7\u8865\u4e0a\u53e6\u4e00\u534a：\u600e\u4e48\u628a\u5f00\u6e90\u6a21\u578b\u8dd1\u5728\u81ea\u5df1\u673a\u5668\u4e0a\u3002\u6700\u8fd1\u9605\u8bfb\u699c\u4e0a\u300c\u672c\u5730\u63a8\u7406\u300d\u300cAI Agent \u6258\u7ba1\u5bb6\u91cc\u7535\u8111\u300d\u8fd9\u7c7b\u4e3b\u9898\u4e00\u76f4\u5728\u6da8，\u8fd9\u7bc7\u628a\u5b8c\u6574\u8def\u7ebf\u8d70\u4e00\u904d\u3002<\/p>\n

\u4e00\u3001\u4ec0\u4e48\u65f6\u5019\u672c\u5730\u90e8\u7f72<\/h3>\n

\u5148\u8bf4\u672c\u5730\u90e8\u7f72\u4e0d\u662f\u514d\u8d39\u7684：\u4f60\u7684\u663e\u5b58\u5c31\u662f\u4f60\u7684\u6a21\u578b\u4e0a\u9650\u3002\u5b83\u6362\u6765\u7684\u4e09\u6837\u4e1c\u897f\u662f API \u7ed9\u4e0d\u4e86\u7684：<\/p>\n

  • \u6570\u636e\u4e0d\u51fa\u95e8：\u79c1\u6709\u6587\u6863\u3001\u5ba2\u6237\u6570\u636e\u3001\u5185\u90e8\u4ee3\u7801，\u4e0d\u7ecf\u8fc7\u4efb\u4f55\u7b2c\u4e09\u65b9<\/li>\n
  • \u79bb\u7ebf\u53ef\u7528：\u65ad\u7f51\u4e5f\u80fd\u8dd1，\u8fb9\u7f18\u8bbe\u5907\u548c\u5185\u7f51\u73af\u5883\u7684\u552f\u4e00\u9009\u9879<\/li>\n
  • \u8fb9\u9645\u6210\u672c\u4e3a\u96f6：\u8dd1\u591a\u5c11\u6b21\u90fd\u4e0d\u6309 token \u8ba1\u8d39（\u6210\u672c\u7bc7\u7684\u8d26，\u672c\u5730\u7248\u76f4\u63a5\u5f52\u96f6）<\/li>\n

    \u5224\u65ad\u53e3\u8bc0：\u6570\u636e\u654f\u611f\u6216\u9ad8\u9891\u8c03\u7528，\u672c\u5730；\u8981\u6700\u5f3a\u6548\u679c，API\u3002 \u4e24\u8005\u53ef\u4ee5\u6df7\u7740\u6765\u2014\u2014\u6210\u672c\u7bc7\u8bb2\u7684\u5206\u7ea7\u8def\u7531，\u672c\u5730\u5c0f\u6a21\u578b\u6b63\u597d\u5f53\u90a3\u4e2a\u300c\u4fbf\u5b9c\u7684\u5206\u8bca\u5c42\u300d\u3002<\/p>\n

    \u4e8c\u3001\u4e09\u6761\u8def\u7ebf\u600e\u4e48\u9009<\/h3>\n\n\u5de5\u5177\u5b9a\u4f4d\u9002\u5408<\/tr>\n\n\n\n\n
    Ollama<\/td>\n\u4e00\u884c\u547d\u4ee4\u8dd1\u6a21\u578b<\/td>\n\u5927\u591a\u6570\u4eba\u7684\u9ed8\u8ba4\u9009\u62e9，\u6700\u7701\u5fc3<\/td>\n<\/tr>\n
    llama.cpp<\/td>\n\u7eaf C++ \u63a8\u7406，\u8d44\u6e90\u5360\u7528\u6700\u5c0f<\/td>\n\u4f4e\u914d\u673a\u5668\u3001CPU \u63a8\u7406\u3001\u7aef\u4fa7\u8bbe\u5907<\/td>\n<\/tr>\n
    vLLM<\/td>\n\u751f\u4ea7\u7ea7\u63a8\u7406\u670d\u52a1，\u9ad8\u541e\u5410<\/td>\n\u5e76\u53d1\u573a\u666f\u3001\u670d\u52a1\u5668\u90e8\u7f72\u3001\u56e2\u961f\u5171\u4eab<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u4e00\u53e5\u8bdd：\u4e2a\u4eba\u73a9\u9009 Ollama，\u65e7\u7535\u8111\u9009 llama.cpp，\u771f\u8981\u670d\u52a1\u591a\u4eba\u9009 vLLM\u3002 \u672c\u6587\u7528 Ollama \u8d70\u5168\u6d41\u7a0b，\u53e6\u5916\u4e24\u4e2a\u601d\u8def\u5b8c\u5168\u4e00\u6837（\u62c9\u6a21\u578b \u2192 \u8d77\u670d\u52a1 \u2192 \u8c03 API）\u3002<\/p>\n

    \u4e09\u3001\u5148\u770b\u786c\u4ef6：\u663e\u5b58\u51b3\u5b9a\u4f60\u80fd\u8dd1\u591a\u5927<\/h3>\n

    \u9009\u6a21\u578b\u524d\u5148\u770b\u663e\u5b58，\u7c97\u7565\u5bf9\u7167（\u91cf\u5316\u540e）：<\/p>\n\n\u6a21\u578b\u89c4\u6a21Q4 \u91cf\u5316\u663e\u5b58\u4f53\u9a8c<\/tr>\n\n\n\n\n\n
    7B<\/td>\n~5GB<\/td>\n\u8f7b\u91cf\u4efb\u52a1：\u5206\u7c7b\u3001\u6458\u8981\u3001\u7b80\u5355\u4ee3\u7801<\/td>\n<\/tr>\n
    14B<\/td>\n~9GB<\/td>\n\u65e5\u5e38\u591f\u7528：\u5199\u4f5c\u3001\u4e2d\u7b49\u4ee3\u7801<\/td>\n<\/tr>\n
    32B<\/td>\n~20GB<\/td>\n\u63a5\u8fd1\u5c0f\u65d7\u8230<\/td>\n<\/tr>\n
    70B<\/td>\n~45GB<\/td>\n\u9700\u8981\u591a\u5361\u6216\u9ad8\u7aef\u5361<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u7ecf\u9a8c\u6cd5\u5219：\u663e\u5b58\u6bd4\u6a21\u578b\u53c2\u6570\u91cf\u7684\u91cf\u5316\u6587\u4ef6\u5927 1~2GB（\u7559\u7ed9\u4e0a\u4e0b\u6587）\u3002\u663e\u5361\u4e0d\u591f\u600e\u4e48\u529e：\u4e0a\u66f4\u72e0\u7684\u91cf\u5316（Q3\/Q2，\u8d28\u91cf\u6709\u635f）\u3001\u6216\u76f4\u63a5\u7528\u5c0f\u4e00\u6863\u7684\u6a21\u578b\u2014\u2014\u8dd1\u5f97\u52a8\u7684 14B \u597d\u8fc7\u786c\u6491\u7684 70B\u3002<\/p>\n

    \u91cf\u5316（GGUF \u683c\u5f0f\u7684 Q4\/Q8）\u4e00\u53e5\u8bdd\u7406\u89e3：\u628a\u6743\u91cd\u7684\u7cbe\u5ea6\u538b\u4f4e（16 \u4f4d\u6d6e\u70b9\u538b\u5230 4 \u4f4d\u6574\u6570），\u6587\u4ef6\u5c0f 4 \u500d\u3001\u901f\u5ea6\u5feb 2~3 \u500d，\u8d28\u91cf\u6389\u4e00\u70b9\u70b9\u2014\u2014\u672c\u5730\u90e8\u7f72 90% \u7684\u573a\u666f Q4 \u5c31\u591f\u3002<\/p>\n

    \u56db\u3001Ollama \u5168\u6d41\u7a0b<\/h3>\n

    1. \u5b89\u88c5<\/h4>\n

    # Windows \/ macOS：\u5b98\u7f51\u4e0b\u8f7d\u5b89\u88c5\u5305
    \n# Linux：\u4e00\u884c\u547d\u4ee4
    \ncurl -fsSL https:\/\/ollama.com\/install.sh | sh<\/p>\n

    # \u9a8c\u8bc1
    \nollama –version<\/p>\n

    2. \u62c9\u6a21\u578b\u3001\u8dd1\u8d77\u6765<\/h4>\n

    # \u62c9\u4e00\u4e2a 14B \u7684\u5f00\u6e90\u6a21\u578b（\u81ea\u52a8\u9009 Q4 \u91cf\u5316）
    \nollama pull qwen3:14b<\/p>\n

    # \u76f4\u63a5\u804a\u5929
    \nollama run qwen3:14b "\u7528\u4e00\u53e5\u8bdd\u89e3\u91ca KV Cache"<\/p>\n

    # \u770b\u672c\u5730\u5df2\u6709\u54ea\u4e9b\u6a21\u578b
    \nollama list<\/p>\n

    3. OpenAI \u517c\u5bb9 API：\u73b0\u6709\u4ee3\u7801\u96f6\u6539\u52a8<\/h4>\n

    Ollama \u8d77\u7740\u7684\u65f6\u5019\u81ea\u5e26 OpenAI \u517c\u5bb9\u7aef\u70b9（http:\/\/localhost:11434\/v1）\u2014\u2014\u7cfb\u5217\u524d\u9762\u6240\u6709\u4ee3\u7801\u6362\u4e2a base_url \u5c31\u80fd\u7528：<\/p>\n

    from openai import OpenAI<\/p>\n

    client = OpenAI(base_url="http:\/\/localhost:11434\/v1", api_key="ollama") # key \u968f\u4fbf\u586b<\/p>\n

    resp = client.chat.completions.create(
    \n model="qwen3:14b",
    \n messages=[{"role": "user", "content": "\u7528\u4e00\u53e5\u8bdd\u89e3\u91ca RAG"}],
    \n)
    \nprint(resp.choices[0].message.content)<\/p>\n

    \u8fd9\u4e00\u6b65\u7684\u610f\u4e49\u6bd4\u770b\u8d77\u6765\u5927：\u6210\u672c\u7bc7\u7684\u5206\u7ea7\u8def\u7531\u3001\u8bc4\u6d4b\u7bc7\u7684 runner\u3001\u7b2c\u4e00\u7bc7\u7684 60 \u884c Agent\u2014\u2014\u5168\u90e8\u539f\u6837\u6307\u5230\u672c\u5730\u6a21\u578b\u4e0a，\u96f6\u6539\u52a8\u3002<\/p>\n

    4. \u9a8c\u8bc1\u95ed\u73af<\/h4>\n

    \u88c5\u5b8c\u5148\u9a8c\u8bc1\u518d\u7ee7\u7eed（\u8001\u89c4\u77e9）：<\/p>\n

    # API \u5c42\u9a8c\u8bc1：curl \u6253\u4e00\u53d1，\u770b\u8fd4\u56de\u7ed3\u6784
    \ncurl -s http:\/\/localhost:11434\/v1\/chat\/completions \\\\
    \n -H "Content-Type: application\/json" \\\\
    \n -d '{"model":"qwen3:14b","messages":[{"role":"user","content":"\u8bf4 OK"}]}'<\/p>\n

    # \u8d28\u91cf\u5c42\u9a8c\u8bc1：\u95ee\u4e00\u4e2a\u4f60\u9886\u57df\u5185\u7684\u5177\u4f53\u95ee\u9898，\u4eba\u8089\u5224\u65ad\u5b83\u884c\u4e0d\u884c<\/p>\n

    \u9875\u9762\u80fd\u6253\u5f00\u3001curl \u6709\u8fd4\u56de\u3001\u56de\u7b54\u50cf\u4eba\u8bdd，\u4e09\u5173\u90fd\u8fc7\u624d\u7b97\u90e8\u7f72\u5b8c\u6210\u2014\u2014\u53ea\u9a8c\u8bc1\u7b2c\u4e00\u5173\u4e0d\u7b97\u3002<\/p>\n

    \u4e94\u3001\u8fdc\u7a0b\u8bbf\u95ee：\u5206\u6e05\u94fe\u8def，\u52a0\u597d\u6388\u6743<\/h3>\n

    \u672c\u5730\u8dd1\u901a\u540e\u60f3\u5728\u5916\u9762\u7528（\u624b\u673a\u3001\u516c\u53f8\u7535\u8111\u8fde\u5bb6\u91cc\u7684\u673a\u5668），\u94fe\u8def\u662f\u4e24\u5c42，\u522b\u6df7\u4e3a\u4e00\u8c08：<\/p>\n

    \u5916\u90e8\u8bbe\u5907 \u2192 \u5185\u7f51\u7a7f\u900f\u96a7\u9053 \u2192 \u5bb6\u91cc\u673a\u5668\u7684 11434 \u7aef\u53e3 \u2192 Ollama<\/p>\n

  • \u5148\u672c\u5730\u540e\u8fdc\u7a0b：\u672c\u5730 curl \u9a8c\u8bc1\u901a\u4e86\u518d\u914d\u96a7\u9053，\u51fa\u95ee\u9898\u624d\u80fd\u5206\u6e05\u662f\u670d\u52a1\u8fd8\u662f\u7f51\u7edc<\/li>\n
  • \u5185\u7f51\u7a7f\u900f：frp \/ cpolar \u8fd9\u7c7b\u5de5\u5177\u628a 11434 \u6620\u5c04\u51fa\u53bb，\u516c\u7f51\u5730\u5740\u7ea6 24 \u5c0f\u65f6\u53d8\u4e00\u6b21，\u957f\u671f\u7528\u8981\u9884\u7559\u56fa\u5b9a\u57df\u540d<\/li>\n
  • \u5fc5\u987b\u52a0\u6388\u6743：Ollama \u7684 API \u6ca1\u6709\u767b\u5f55\u673a\u5236，\u88f8\u9732\u5230\u516c\u7f51\u7b49\u4e8e\u628a\u7b97\u529b\u767d\u9001\u2014\u2014\u96a7\u9053\u5c42\u5f00 basic auth（\u7528\u6237\u540d\u5bc6\u7801），\u6216\u8005\u53ea\u7ed1\u56fa\u5b9a IP \u767d\u540d\u5355<\/li>\n

    \u8fd9\u4e00\u6b65\u7684\u63d0\u9192\u548c\u53c2\u8003\u539f\u6587\u91cc\u58f0\u97f3\u514b\u9686\u90a3\u7bc7\u4e00\u81f4：\u670d\u52a1\u80cc\u540e\u7684\u7b97\u529b\u548c\u6570\u636e\u90fd\u662f\u4f60\u7684，\u516c\u7f51\u5165\u53e3\u4e0d\u8bbe\u9632\u5c31\u662f\u88f8\u5954\u3002<\/p>\n

    \u516d\u3001\u8e29\u5751\u63d0\u9192<\/h3>\n
  • \u6a21\u578b\u6587\u4ef6\u522b\u653e\u542b\u4e2d\u6587\/\u7a7a\u683c\u7684\u8def\u5f84：\u542f\u52a8\u62a5\u9519\u5148\u67e5\u8def\u5f84，Ollama \u9ed8\u8ba4\u76ee\u5f55\u65e0\u6240\u8c13，\u624b\u52a8\u6307\u5b9a\u6a21\u578b\u8def\u5f84\u65f6\u5c24\u5176\u6ce8\u610f<\/li>\n
  • \u9996\u6b21\u62c9\u6a21\u578b\u8981\u7b49：\u51e0 GB \u7684\u6587\u4ef6，\u7f51\u7edc\u6162\u5c31\u5148\u62c9\u5c0f\u6a21\u578b（7B）\u8dd1\u901a\u5168\u6d41\u7a0b\u518d\u6362\u5927\u7684<\/li>\n
  • \u4e0a\u4e0b\u6587\u957f\u5ea6\u5403\u663e\u5b58：\u6a21\u578b\u80fd\u8dd1 \u2260 \u957f\u4e0a\u4e0b\u6587\u80fd\u8dd1，32k \u4e0a\u4e0b\u6587\u7684\u663e\u5b58\u5f00\u9500\u6bd4 4k \u5927\u5f97\u591a\u2014\u2014\u6309\u5b9e\u9645\u9700\u8981\u8bbe num_ctx<\/li>\n
  • \u522b\u62ff\u672c\u5730\u6a21\u578b\u76f4\u63a5\u4e0a\u751f\u4ea7：\u5148\u8fc7\u4e00\u904d\u8bc4\u6d4b\u7bc7\u7684\u8bc4\u6d4b\u96c6，\u672c\u5730\u90e8\u7f72\u7684\u6a21\u578b\u4e5f\u662f\u8981\u8bc4\u6d4b\u7684，\u8dd1\u5f97\u52a8\u548c\u7b54\u5f97\u597d\u662f\u4e24\u56de\u4e8b<\/li>\n

    \u603b\u7ed3<\/h3>\n\n\u6b65\u9aa4\u4e00\u53e5\u8bdd<\/tr>\n\n\n\n\n\n\n
    \u9009\u578b<\/td>\n\u4e2a\u4eba Ollama，\u4f4e\u914d llama.cpp，\u5e76\u53d1 vLLM<\/td>\n<\/tr>\n
    \u663e\u5b58<\/td>\n7B \u7ea6 5GB\u300114B \u7ea6 9GB，\u8dd1\u5f97\u52a8\u7684 14B \u4f18\u4e8e\u786c\u6491\u7684 70B<\/td>\n<\/tr>\n
    \u91cf\u5316<\/td>\nQ4 \u662f\u9ed8\u8ba4\u7b54\u6848：\u6587\u4ef6\u5c0f 4 \u500d，\u8d28\u91cf\u6389\u4e00\u70b9<\/td>\n<\/tr>\n
    API<\/td>\nOllama \u81ea\u5e26 OpenAI \u517c\u5bb9\u7aef\u70b9，\u7cfb\u5217\u4ee3\u7801\u96f6\u6539\u52a8\u63a5\u4e0a<\/td>\n<\/tr>\n
    \u8fdc\u7a0b<\/td>\n\u5148\u672c\u5730\u540e\u96a7\u9053，\u516c\u7f51\u5165\u53e3\u5fc5\u52a0\u6388\u6743<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u5230\u8fd9\u91cc\u6a21\u578b\u8fd9\u6761\u7ebf\u95ed\u73af\u4e86：\u600e\u4e48\u6765\u7684（\u6a21\u578b\u79d1\u666e）\u2192 \u600e\u4e48\u8c03（\u5fae\u8c03\u7bc7）\u2192 \u600e\u4e48\u9009（Jev \u7bc7\u7684\u95ed\u6e90 vs \u5f00\u6e90）\u2192 \u600e\u4e48\u81ea\u5df1\u8dd1（\u672c\u7bc7）\u3002\u6570\u636e\u654f\u611f\u7684\u573a\u666f，\u4ece\u6b64\u4e0d\u518d\u4f9d\u8d56\u4efb\u4f55\u7b2c\u4e09\u65b9 API\u3002\u89c9\u5f97\u6709\u7528\u70b9\u4e2a\u5173\u6ce8\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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