{"id":53298,"date":"2025-08-12T08:04:23","date_gmt":"2025-08-12T00:04:23","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/53298.html"},"modified":"2025-08-12T08:04:23","modified_gmt":"2025-08-12T00:04:23","slug":"ollama-v0-11-4-%e9%87%8d%e7%a3%85%e6%9b%b4%e6%96%b0%ef%bc%9a%e5%b7%a5%e5%85%b7%e8%b0%83%e7%94%a8%e4%b8%8e%e6%8e%a8%e7%90%86%e8%83%bd%e5%8a%9b%e5%85%a8%e9%9d%a2%e5%8d%87%e7%ba%a7%e7%9a%84%e6%8a%80","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/53298.html","title":{"rendered":"ollama v0.11.4 \u91cd\u78c5\u66f4\u65b0\uff1a\u5de5\u5177\u8c03\u7528\u4e0e\u63a8\u7406\u80fd\u529b\u5168\u9762\u5347\u7ea7\u7684\u6280\u672f\u89e3\u6790"},"content":{"rendered":"

\"#<\/p>\n

\u5f15\u8a00<\/h3>\n

Ollama\u4f5c\u4e3a\u5f53\u524d\u6700\u53d7\u6b22\u8fce\u7684\u672c\u5730\u5316\u5927\u578b\u8bed\u8a00\u6a21\u578b(LLM)\u8fd0\u884c\u5de5\u5177，\u57282025\u5e748\u67087\u65e5\u53d1\u5e03\u4e86v0.11.4\u7248\u672c\u66f4\u65b0\u3002\u672c\u6b21\u66f4\u65b0\u867d\u7136\u770b\u4f3c\u7248\u672c\u53f7\u8fed\u4ee3\u4e0d\u5927，\u4f46\u5728\u5de5\u5177\u8c03\u7528(Tool Calling)\u548c\u6a21\u578b\u63a8\u7406\u80fd\u529b\u65b9\u9762\u5e26\u6765\u4e86\u591a\u9879\u91cd\u8981\u6539\u8fdb，\u8fdb\u4e00\u6b65\u5f3a\u5316\u4e86Ollama\u4f5c\u4e3a\u4f01\u4e1a\u7ea7LLM\u90e8\u7f72\u5e73\u53f0\u7684\u6838\u5fc3\u7ade\u4e89\u529b\u3002\u672c\u6587\u5c06\u6df1\u5165\u89e3\u6790v0.11.4\u7248\u672c\u7684\u6280\u672f\u7ec6\u8282，\u5e2e\u52a9\u5f00\u53d1\u8005\u5168\u9762\u4e86\u89e3\u65b0\u7279\u6027\u5e76\u638c\u63e1\u6700\u4f73\u5b9e\u8df5\u3002<\/p>\n

\u6838\u5fc3\u66f4\u65b0\u6982\u89c8<\/h3>\n

v0.11.4\u7248\u672c\u4e3b\u8981\u56f4\u7ed5\u4e09\u5927\u6838\u5fc3\u65b9\u5411\u8fdb\u884c\u4e86\u4f18\u5316：<\/p>\n

  • \u5de5\u5177\u8c03\u7528\u529f\u80fd\u589e\u5f3a：\u5141\u8bb8\u5728\u6d88\u606f\u4e2d\u540c\u65f6\u5305\u542b\u5185\u5bb9\u548c\u5de5\u5177\u8c03\u7528，\u5e76\u6539\u8fdb\u5de5\u5177\u540d\u79f0\u4f20\u64ad\u673a\u5236<\/li>\n
  • \u63a8\u7406\u8fc7\u7a0b\u4f18\u5316：\u786e\u4fdd\u6a21\u578b\u59cb\u7ec8\u63d0\u4f9b\u63a8\u7406\u8fc7\u7a0b(reasoning)，\u589e\u5f3a\u51b3\u7b56\u900f\u660e\u5ea6<\/li>\n
  • GPU\u8d44\u6e90\u7ba1\u7406：\u9488\u5bf9gpt-oss\u6a21\u578b\u7684VRAM\u4f7f\u7528\u8fdb\u884c\u4f18\u5316，\u63d0\u5347\u8d44\u6e90\u5229\u7528\u7387<\/li>\n

    \u8fd9\u4e9b\u6539\u8fdb\u4f7f\u5f97Ollama\u5728\u590d\u6742\u4efb\u52a1\u5904\u7406\u3001\u591a\u6b65\u9aa4\u63a8\u7406\u548c\u8d44\u6e90\u53d7\u9650\u73af\u5883\u4e0b\u7684\u8868\u73b0\u66f4\u52a0\u51fa\u8272，\u4e3a\u5f00\u53d1\u8005\u6784\u5efa\u57fa\u4e8eLLM\u7684\u5e94\u7528\u7a0b\u5e8f\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u57fa\u7840\u652f\u6491\u3002<\/p>\n

    \u5de5\u5177\u8c03\u7528\u529f\u80fd\u7684\u6df1\u5ea6\u89e3\u6790<\/h3>\n

    \u6d88\u606f\u5185\u5bb9\u4e0e\u5de5\u5177\u8c03\u7528\u7684\u534f\u540c\u5904\u7406<\/h4>\n

    \u5728v0.11.4\u4e4b\u524d，Ollama\u5904\u7406\u5de5\u5177\u8c03\u7528\u65f6\u5b58\u5728\u4e00\u4e2a\u9650\u5236：\u5f53\u6a21\u578b\u51b3\u5b9a\u8c03\u7528\u5de5\u5177\u65f6，\u5176\u54cd\u5e94\u6d88\u606f\u8981\u4e48\u53ea\u5305\u542b\u5de5\u5177\u8c03\u7528\u6307\u4ee4，\u8981\u4e48\u53ea\u5305\u542b\u6587\u672c\u5185\u5bb9，\u65e0\u6cd5\u540c\u65f6\u5305\u542b\u4e24\u8005\u3002\u8fd9\u79cd\u9650\u5236\u5728\u67d0\u4e9b\u9700\u8981\u4e0a\u4e0b\u6587\u8fde\u8d2f\u6027\u7684\u573a\u666f\u4e2d\u4f1a\u9020\u6210\u4f53\u9a8c\u4e0a\u7684\u5272\u88c2\u3002<\/p>\n

    \u65b0\u7248\u672c\u901a\u8fc7\u91cd\u6784openai\u517c\u5bb9\u5c42\u7684\u6d88\u606f\u5904\u7406\u903b\u8f91，\u5b9e\u73b0\u4e86\u5185\u5bb9\u4e0e\u5de5\u5177\u8c03\u7528\u7684\u65e0\u7f1d\u7ed3\u5408\u3002\u5177\u4f53\u8868\u73b0\u4e3a：<\/p>\n

    type<\/span> Message struct<\/span> {<\/span>
    \n Role string<\/span> `json:"role"`<\/span>
    \n Content any `json:"content"`<\/span>
    \n Reasoning string<\/span> `json:"reasoning,omitempty"`<\/span>
    \n ToolCalls [<\/span>]<\/span>ToolCall `json:"tool_calls,omitempty"`<\/span>
    \n Name string<\/span> `json:"name,omitempty"`<\/span>
    \n ToolCallID string<\/span> `json:"tool_call_id,omitempty"`<\/span>
    \n}<\/span><\/p>\n

    \u8fd9\u79cd\u6539\u8fdb\u4f7f\u5f97\u6a21\u578b\u53ef\u4ee5\u5728\u751f\u6210\u81ea\u7136\u8bed\u8a00\u54cd\u5e94\u7684\u540c\u65f6\u53d1\u8d77\u5de5\u5177\u8c03\u7528，\u4f8b\u5982：<\/p>\n

    {<\/span>
    \n "role"<\/span>:<\/span> "assistant"<\/span>,<\/span>
    \n "content"<\/span>:<\/span> "\u6211\u5c06\u4e3a\u60a8\u67e5\u8be2\u5df4\u9ece\u7684\u5929\u6c14\u60c5\u51b5"<\/span>,<\/span>
    \n "tool_calls"<\/span>:<\/span> [<\/span>
    \n {<\/span>
    \n "id"<\/span>:<\/span> "call_123"<\/span>,<\/span>
    \n "type"<\/span>:<\/span> "function"<\/span>,<\/span>
    \n "function"<\/span>:<\/span> {<\/span>
    \n "name"<\/span>:<\/span> "get_current_weather"<\/span>,<\/span>
    \n "arguments"<\/span>:<\/span> "{\\\\"location\\\\":\\\\"Paris\\\\",\\\\"unit\\\\":\\\\"celsius\\\\"}"<\/span>
    \n }<\/span>
    \n }<\/span>
    \n ]<\/span>
    \n}<\/span><\/p>\n

    \u8fd9\u79cd\u534f\u540c\u5904\u7406\u80fd\u529b\u5bf9\u4e8e\u6784\u5efa\u6d41\u7545\u7684\u5bf9\u8bdd\u4f53\u9a8c\u81f3\u5173\u91cd\u8981，\u7279\u522b\u662f\u5728\u9700\u8981\u591a\u8f6e\u4ea4\u4e92\u7684\u590d\u6742\u573a\u666f\u4e2d\u3002<\/p>\n

    \u5de5\u5177\u540d\u79f0\u4f20\u64ad\u673a\u5236\u7684\u6539\u8fdb<\/h4>\n

    v0.11.4\u7248\u672c\u8fd8\u4f18\u5316\u4e86\u5de5\u5177\u8c03\u7528\u4e2d\u540d\u79f0\u4fe1\u606f\u7684\u4f20\u64ad\u673a\u5236\u3002\u5f53\u6a21\u578b\u8fd4\u56de\u5de5\u5177\u8c03\u7528\u7ed3\u679c\u65f6，\u7cfb\u7edf\u73b0\u5728\u80fd\u591f\u66f4\u51c6\u786e\u5730\u8ffd\u8e2a\u548c\u4f20\u64ad\u5de5\u5177\u540d\u79f0\u4fe1\u606f\u3002\u8fd9\u901a\u8fc7\u4e24\u79cd\u65b9\u5f0f\u5b9e\u73b0：<\/p>\n

  • \u901a\u8fc7tool_call_id\u56de\u6eaf：\u5f53\u5de5\u5177\u54cd\u5e94\u6d88\u606f\u4e2d\u53ea\u5305\u542btool_call_id\u65f6，\u7cfb\u7edf\u4f1a\u4ece\u5bf9\u8bdd\u5386\u53f2\u4e2d\u67e5\u627e\u5bf9\u5e94\u7684\u5de5\u5177\u8c03\u7528\u8bb0\u5f55，\u81ea\u52a8\u586b\u5145\u5de5\u5177\u540d\u79f0<\/li>\n
  • \u76f4\u63a5\u540d\u79f0\u6307\u5b9a：\u5de5\u5177\u54cd\u5e94\u6d88\u606f\u53ef\u4ee5\u76f4\u63a5\u5305\u542bname\u5b57\u6bb5，\u663e\u5f0f\u6307\u5b9a\u5de5\u5177\u540d\u79f0<\/li>\n

    \u5bf9\u5e94\u7684Go\u5b9e\u73b0\u903b\u8f91\u5982\u4e0b：<\/p>\n

    func<\/span> nameFromToolCallID<\/span>(<\/span>messages [<\/span>]<\/span>Message,<\/span> toolCallID string<\/span>)<\/span> string<\/span> {<\/span>
    \n for<\/span> i :=<\/span> len<\/span>(<\/span>messages)<\/span> –<\/span> 1<\/span>;<\/span> i >=<\/span> 0<\/span>;<\/span> i—<\/span> {<\/span>
    \n msg :=<\/span> messages[<\/span>i]<\/span>
    \n for<\/span> _<\/span>,<\/span> tc :=<\/span> range<\/span> msg.<\/span>ToolCalls {<\/span>
    \n if<\/span> tc.<\/span>ID ==<\/span> toolCallID {<\/span>
    \n return<\/span> tc.<\/span>Function.<\/span>Name
    \n }<\/span>
    \n }<\/span>
    \n }<\/span>
    \n return<\/span> ""<\/span>
    \n}<\/span><\/p>\n

    \u8fd9\u79cd\u6539\u8fdb\u786e\u4fdd\u4e86\u5de5\u5177\u8c03\u7528\u94fe\u8def\u7684\u5b8c\u6574\u6027\u548c\u4e00\u81f4\u6027，\u4e3a\u6784\u5efa\u590d\u6742\u7684\u5de5\u5177\u8c03\u7528\u5de5\u4f5c\u6d41\u5960\u5b9a\u4e86\u57fa\u7840\u3002<\/p>\n

    \u63a8\u7406\u8fc7\u7a0b\u900f\u660e\u5316\u7684\u6280\u672f\u5b9e\u73b0<\/h3>\n

    \u5f3a\u5236\u63a8\u7406\u8f93\u51fa\u7684\u8bbe\u8ba1\u8003\u91cf<\/h4>\n

    v0.11.4\u7248\u672c\u5f15\u5165\u4e86\u4e00\u9879\u91cd\u8981\u53d8\u66f4：\u6a21\u578b\u73b0\u5728\u4f1a\u59cb\u7ec8\u63d0\u4f9b\u63a8\u7406\u8fc7\u7a0b(reasoning)，\u65e0\u8bba\u662f\u5426\u542f\u7528\u4e86\u601d\u8003(thinking)\u529f\u80fd\u3002\u8fd9\u4e00\u6539\u53d8\u6e90\u4e8e\u5b9e\u9645\u5e94\u7528\u4e2d\u53d1\u73b0\u7684\u5173\u952e\u95ee\u9898：\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b，\u5373\u4f7f\u7981\u7528\u4e86\u601d\u8003\u529f\u80fd，\u4e86\u89e3\u6a21\u578b\u7684\u63a8\u7406\u8fc7\u7a0b\u5bf9\u4e8e\u8c03\u8bd5\u548c\u4f18\u5316\u7cfb\u7edf\u884c\u4e3a\u4ecd\u7136\u975e\u5e38\u6709\u4ef7\u503c\u3002<\/p>\n

    \u6280\u672f\u5b9e\u73b0\u4e0a，\u8fd9\u6d89\u53ca\u5bf9OpenAI\u517c\u5bb9API\u5c42\u7684\u4fee\u6539：<\/p>\n

    func<\/span> fromChatRequest<\/span>(<\/span>r ChatCompletionRequest)<\/span> (<\/span>*<\/span>api.<\/span>ChatRequest,<\/span> error<\/span>)<\/span> {<\/span>
    \n \/\/ …\u5176\u4ed6\u5904\u7406\u903b\u8f91…<\/span>
    \n messages =<\/span> append<\/span>(<\/span>messages,<\/span> api.<\/span>Message{<\/span>
    \n Role:<\/span> msg.<\/span>Role,<\/span>
    \n Content:<\/span> content,<\/span>
    \n Thinking:<\/span> msg.<\/span>Reasoning,<\/span> \/\/ \u59cb\u7ec8\u4fdd\u7559\u63a8\u7406\u8fc7\u7a0b<\/span>
    \n ToolCalls:<\/span> toolCalls,<\/span>
    \n }<\/span>)<\/span>
    \n \/\/ …<\/span>
    \n}<\/span><\/p>\n

    \u601d\u8003\u529f\u80fd\u7684\u5e94\u7528\u573a\u666f<\/h4>\n

    Ollama\u5728\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u5df2\u7ecf\u5f15\u5165\u4e86"\u601d\u8003"(Thinking)\u529f\u80fd，\u5141\u8bb8\u7528\u6237\u9009\u62e9\u662f\u5426\u67e5\u770b\u6a21\u578b\u7684\u4e2d\u95f4\u63a8\u7406\u8fc7\u7a0b\u3002v0.11.4\u7248\u672c\u8fdb\u4e00\u6b65\u5f3a\u5316\u4e86\u8fd9\u4e00\u529f\u80fd\u7684\u5e94\u7528\u573a\u666f：<\/p>\n

  • \u8c03\u8bd5\u4e0e\u4f18\u5316：\u5f00\u53d1\u8005\u53ef\u4ee5\u901a\u8fc7\u63a8\u7406\u8fc7\u7a0b\u5206\u6790\u6a21\u578b\u7684\u884c\u4e3a\u903b\u8f91，\u8bc6\u522b\u6f5c\u5728\u95ee\u9898<\/li>\n
  • \u6559\u80b2\u5e94\u7528：\u5728\u6559\u5b66\u573a\u666f\u4e2d\u5c55\u793aAI\u7684\u601d\u8003\u8fc7\u7a0b，\u5e2e\u52a9\u5b66\u4e60\u8005\u7406\u89e3AI\u51b3\u7b56\u673a\u5236<\/li>\n
  • \u590d\u6742\u4efb\u52a1\u5206\u89e3：\u5bf9\u4e8e\u9700\u8981\u591a\u6b65\u9aa4\u89e3\u51b3\u7684\u4efb\u52a1，\u601d\u8003\u8fc7\u7a0b\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u7406\u89e3\u4efb\u52a1\u5206\u89e3\u903b\u8f91<\/li>\n

    \u5bf9\u5e94\u7684API\u8c03\u7528\u793a\u4f8b：<\/p>\n

    # \u542f\u7528\u601d\u8003\u529f\u80fd<\/span>
    \nollama run model-name –think<\/span><\/p>\n

    # \u7981\u7528\u601d\u8003\u529f\u80fd<\/span>
    \nollama run model-name –think<\/span>=<\/span>false<\/p>\n

    GPU\u8d44\u6e90\u7ba1\u7406\u7684\u4f18\u5316\u7b56\u7565<\/h3>\n

    gpt-oss\u6a21\u578b\u7684VRAM\u4f18\u5316<\/h4>\n

    v0.11.4\u7248\u672c\u9488\u5bf9gpt-oss\u6a21\u578b\u7684VRAM\u4f7f\u7528\u8fdb\u884c\u4e86\u4e13\u95e8\u4f18\u5316，\u89e3\u51b3\u4e86\u5728GPU\u548cCPU\u4e4b\u95f4\u6216\u8de8\u591a\u4e2aGPU\u5206\u5272\u6a21\u578b\u65f6\u7684\u5185\u5b58\u7ba1\u7406\u95ee\u9898\u3002\u8fd9\u4e00\u6539\u8fdb\u7279\u522b\u91cd\u8981，\u56e0\u4e3a：<\/p>\n

  • \u8d44\u6e90\u5229\u7528\u7387\u63d0\u5347：\u66f4\u9ad8\u6548\u7684VRAM\u4f7f\u7528\u5141\u8bb8\u5728\u76f8\u540c\u786c\u4ef6\u4e0a\u8fd0\u884c\u66f4\u5927\u7684\u6a21\u578b\u6216\u5904\u7406\u66f4\u957f\u7684\u4e0a\u4e0b\u6587<\/li>\n
  • \u6210\u672c\u6548\u76ca：\u4f01\u4e1a\u7528\u6237\u53ef\u4ee5\u5728\u73b0\u6709\u786c\u4ef6\u57fa\u7840\u8bbe\u65bd\u4e0a\u5b9e\u73b0\u66f4\u9ad8\u7684\u6027\u80fd\u4ea7\u51fa\u6bd4<\/li>\n
  • \u7a33\u5b9a\u6027\u589e\u5f3a：\u51cf\u5c11\u4e86\u56e0\u5185\u5b58\u4e0d\u8db3\u5bfc\u81f4\u7684\u4e2d\u65ad\u98ce\u9669<\/li>\n

    \u6280\u672f\u5b9e\u73b0\u4e0a，Ollama\u56e2\u961f\u5f15\u5165\u4e86\u66f4\u7cbe\u7ec6\u7684\u5185\u5b58\u7ba1\u7406\u7b56\u7565：<\/p>\n

    \/\/ Low VRAM\u6a21\u5f0f\u57fa\u4e8e\u603bVRAM(\u975e\u7a7a\u95f2)\u89e6\u53d1\u67d0\u4e9b\u6a21\u578b\u7684\u4e0a\u4e0b\u6587\u957f\u5ea6\u51cf\u5c11<\/span>
    \nvar<\/span> lowVRAMThreshold uint64<\/span> =<\/span> 20<\/span> *<\/span> format.<\/span>GibiByte<\/p>\n

    \/\/ \u5728\u670d\u52a1\u5668\u521d\u59cb\u5316\u65f6\u68c0\u6d4bVRAM\u60c5\u51b5<\/span>
    \nvar<\/span> totalVRAM uint64<\/span>
    \nfor<\/span> _<\/span>,<\/span> gpu :=<\/span> range<\/span> gpus {<\/span>
    \n totalVRAM +=<\/span> gpu.<\/span>TotalMemory –<\/span> envconfig.<\/span>GpuOverhead<\/span>(<\/span>)<\/span>
    \n}<\/span>
    \nif<\/span> totalVRAM <<\/span> lowVRAMThreshold {<\/span>
    \n s.<\/span>lowVRAM =<\/span> true<\/span>
    \n slog.<\/span>Info<\/span>(<\/span>"entering low vram mode"<\/span>,<\/span>
    \n "total vram"<\/span>,<\/span> format.<\/span>HumanBytes2<\/span>(<\/span>totalVRAM)<\/span>,<\/span>
    \n "threshold"<\/span>,<\/span> format.<\/span>HumanBytes2<\/span>(<\/span>lowVRAMThreshold)<\/span>)<\/span>
    \n}<\/span><\/p>\n

    \u4e0a\u4e0b\u6587\u957f\u5ea6\u7684\u667a\u80fd\u8c03\u6574<\/h4>\n

    \u9488\u5bf9\u4e0d\u540c\u786c\u4ef6\u914d\u7f6e，v0.11.4\u7248\u672c\u5b9e\u73b0\u4e86\u4e0a\u4e0b\u6587\u957f\u5ea6\u7684\u52a8\u6001\u8c03\u6574：<\/p>\n

    \/\/ \u9664\u975e\u5bf9\u6027\u80fd\u5f71\u54cd\u592a\u5927，\u5426\u5219\u4e3agptoss\u6a21\u578b\u8bbe\u7f6e\u66f4\u5927\u7684\u4e0a\u4e0b\u6587<\/span>
    \nif<\/span> !<\/span>s.<\/span>lowVRAM &&<\/span> slices.<\/span>Contains<\/span>(<\/span>model.<\/span>Config.<\/span>ModelFamilies,<\/span> "gptoss"<\/span>)<\/span> {<\/span>
    \n opts.<\/span>NumCtx =<\/span> max<\/span>(<\/span>opts.<\/span>NumCtx,<\/span> 8192<\/span>)<\/span>
    \n}<\/span><\/p>\n

    \u8fd9\u79cd\u667a\u80fd\u8c03\u6574\u786e\u4fdd\u4e86\u6a21\u578b\u5728\u5404\u79cd\u786c\u4ef6\u73af\u5883\u4e0b\u90fd\u80fd\u53d1\u6325\u6700\u4f73\u6027\u80fd\u3002<\/p>\n

    \u4f01\u4e1a\u7ea7\u90e8\u7f72\u7684\u6700\u4f73\u5b9e\u8df5<\/h3>\n

    \u6027\u80fd\u8c03\u4f18\u914d\u7f6e<\/h4>\n

    \u57fa\u4e8ev0.11.4\u7248\u672c\u7684\u7279\u6027，\u63a8\u8350\u4ee5\u4e0b\u6027\u80fd\u8c03\u4f18\u914d\u7f6e：<\/p>\n

  • \u73af\u5883\u53d8\u91cf\u4f18\u5316：<\/li>\n

    export<\/span> OLLAMA_NUM_PARALLEL<\/span>=<\/span>4<\/span> # \u6839\u636eCPU\u6838\u5fc3\u6570\u8c03\u6574<\/span>
    \nexport<\/span> OLLAMA_GPU_LAYERS<\/span>=<\/span>40<\/span> # \u6839\u636eGPU\u80fd\u529b\u8c03\u6574<\/span>
    \nexport<\/span> OLLAMA_KEEP_ALIVE<\/span>=<\/span>5m # \u6a21\u578b\u5185\u5b58\u7f13\u5b58\u65f6\u95f4<\/span><\/p>\n

  • \u5185\u5b58\u7ba1\u7406：<\/li>\n

    # \u9501\u5b9a\u5185\u5b58\u9632\u6b62\u4ea4\u6362<\/span>
    \nsudo<\/span> sysctl<\/span> -w<\/span> vm.swappiness<\/span>=<\/span>0<\/span>
    \n# \u8fd0\u884c\u524d\u6e05\u7406\u5185\u5b58<\/span>
    \nsync<\/span> &&<\/span> echo<\/span> 3<\/span> |<\/span> sudo<\/span> tee<\/span> \/proc\/sys\/vm\/drop_caches<\/p>\n

  • \u6279\u5904\u7406\u53c2\u6570\u8c03\u6574：<\/li>\n

    ollama serve –num_ctx<\/span> 2048<\/span> –num_batch<\/span> 256<\/span><\/p>\n

    \u5b89\u5168\u589e\u5f3a\u63aa\u65bd<\/h4>\n

    v0.11.4\u7248\u672c\u867d\u7136\u6ca1\u6709\u76f4\u63a5\u4fee\u6539\u5b89\u5168\u76f8\u5173\u4ee3\u7801，\u4f46\u57fa\u4e8e\u5176\u5de5\u5177\u8c03\u7528\u80fd\u529b\u7684\u589e\u5f3a，\u5efa\u8bae\u4f01\u4e1a\u7528\u6237\u91c7\u53d6\u4ee5\u4e0b\u5b89\u5168\u63aa\u65bd：<\/p>\n

  • API\u8bbf\u95ee\u63a7\u5236：<\/li>\n

    export<\/span> OLLAMA_HOST<\/span>=<\/span>127.0<\/span>.0.1:11434 # \u9650\u5236\u76d1\u542cIP<\/span>
    \nexport<\/span> OLLAMA_ORIGINS<\/span>=<\/span>"http:\/\/localhost:*"<\/span> # \u9650\u5236\u8de8\u57df\u8bf7\u6c42<\/span><\/p>\n

  • \u8d44\u6e90\u9694\u79bb：<\/li>\n

    export<\/span> OLLAMA_RUNAS_USER<\/span>=<\/span>ollama-user # \u4f7f\u7528\u975eroot\u7528\u6237\u8fd0\u884c<\/span>
    \nexport<\/span> OLLAMA_TMPDIR<\/span>=<\/span>\/tmp\/ollama # \u6307\u5b9a\u4e34\u65f6\u76ee\u5f55<\/span><\/p>\n

  • \u65e5\u5fd7\u5ba1\u8ba1：<\/li>\n

    export<\/span> OLLAMA_DEBUG<\/span>=<\/span>true # \u542f\u7528\u8be6\u7ec6\u65e5\u5fd7<\/span>
    \nexport<\/span> OLLAMA_LOG_DIR<\/span>=<\/span>\/var\/log\/ollama # \u96c6\u4e2d\u7ba1\u7406\u65e5\u5fd7<\/span><\/p>\n

    \u591a\u6a21\u6001\u652f\u6301\u7684\u672a\u6765\u5c55\u671b<\/h3>\n

    \u867d\u7136v0.11.4\u7248\u672c\u4e3b\u8981\u805a\u7126\u4e8e\u5de5\u5177\u8c03\u7528\u548c\u63a8\u7406\u4f18\u5316，\u4f46\u503c\u5f97\u6ce8\u610f\u7684\u662f，Ollama\u56e2\u961f\u5728\u8fd1\u671f\u5df2\u7ecf\u53d1\u5e03\u4e86\u5168\u65b0\u7684\u591a\u6a21\u6001\u5f15\u64ce\u3002\u8fd9\u4e00\u5f15\u64ce\u7684\u6280\u672f\u7279\u70b9\u5305\u62ec：<\/p>\n

  • \u6a21\u5757\u5316\u8bbe\u8ba1：\u6bcf\u4e2a\u6a21\u578b\u72ec\u7acb\u5c01\u88c5\u89c6\u89c9\u7f16\u7801\u5668\u4e0e\u6587\u672c\u89e3\u7801\u5668，\u9519\u8bef\u9694\u79bb\u7387\u63d0\u5347\u81f399.5%<\/li>\n
  • \u56fe\u50cf\u5904\u7406\u4f18\u5316：\u5f15\u5165\u56fe\u50cf\u5143\u6570\u636e\u6807\u7b7e\u4e0e2D\u65cb\u8f6c\u5d4c\u5165\u6280\u672f，\u4f4d\u7f6e\u7f16\u7801\u8bef\u5dee\u4ece12%\u964d\u81f30.8%<\/li>\n
  • \u5185\u5b58\u7ba1\u7406：\u52a8\u6001\u56fe\u50cf\u7f13\u5b58\u529f\u80fd\u4f7f\u8fde\u7eed\u63a8\u7406\u4efb\u52a1\u7684\u5185\u5b58\u5360\u7528\u51cf\u5c1140%<\/li>\n

    \u53ef\u4ee5\u9884\u89c1，\u672a\u6765\u7684Ollama\u7248\u672c\u5c06\u8fdb\u4e00\u6b65\u6574\u5408\u8fd9\u4e9b\u591a\u6a21\u6001\u80fd\u529b，\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u66f4\u5168\u9762\u7684\u672c\u5730\u5316AI\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n

    \u7ed3\u8bba\u4e0e\u5347\u7ea7\u5efa\u8bae<\/h3>\n

    Ollama v0.11.4\u7248\u672c\u867d\u7136\u5728\u8868\u9762\u4e0a\u662f\u5e38\u89c4\u8fed\u4ee3\u66f4\u65b0，\u4f46\u5176\u5728\u5de5\u5177\u8c03\u7528\u3001\u63a8\u7406\u900f\u660e\u5ea6\u548c\u8d44\u6e90\u7ba1\u7406\u65b9\u9762\u7684\u6539\u8fdb，\u663e\u8457\u63d0\u5347\u4e86\u5e73\u53f0\u7684\u5b9e\u7528\u6027\u548c\u53ef\u9760\u6027\u3002\u7279\u522b\u662f\u5bf9\u4e8e\u9700\u8981\u6784\u5efa\u590d\u6742AI\u5de5\u4f5c\u6d41\u7684\u4f01\u4e1a\u7528\u6237，\u8fd9\u4e9b\u6539\u8fdb\u610f\u5473\u7740\u66f4\u9ad8\u7684\u5f00\u53d1\u6548\u7387\u548c\u66f4\u7a33\u5b9a\u7684\u8fd0\u884c\u8868\u73b0\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb31\u6b21\u3002Ollama v0.11.4\u7248\u672c\u867d\u7136\u5728\u8868\u9762\u4e0a\u662f\u5e38\u89c4\u8fed\u4ee3\u66f4\u65b0\uff0c\u4f46\u5176\u5728\u5de5\u5177\u8c03\u7528\u3001\u63a8\u7406\u900f\u660e\u5ea6\u548c\u8d44\u6e90\u7ba1\u7406\u65b9\u9762\u7684\u6539\u8fdb\uff0c\u663e\u8457\u63d0\u5347\u4e86\u5e73\u53f0\u7684\u5b9e\u7528\u6027\u548c\u53ef\u9760\u6027\u3002\u5728v0.11.4\u4e4b\u524d\uff0cOllama\u5904\u7406\u5de5\u5177\u8c03\u7528\u65f6\u5b58\u5728\u4e00\u4e2a\u9650\u5236\uff1a\u5f53\u6a21\u578b\u51b3\u5b9a\u8c03\u7528\u5de5\u5177\u65f6\uff0c\u5176\u54cd\u5e94\u6d88\u606f\u8981\u4e48\u53ea\u5305\u542b\u5de5\u5177\u8c03\u7528\u6307\u4ee4\uff0c\u8981\u4e48\u53ea\u5305\u542b\u6587\u672c\u5185\u5bb9\uff0c\u65e0\u6cd5\u540c\u65f6\u5305\u542b\u4e24\u8005\u3002\u867d\u7136v0.11.4\u7248\u672c\u4e3b\u8981\u805a\u7126\u4e8e\u5de5\u5177\u8c03\u7528\u548c\u63a8\u7406\u4f18\u5316\uff0c\u4f46\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cOllama\u56e2\u961f\u5728\u8fd1\u671f\u5df2\u7ecf\u53d1\u5e03\u4e86\u5168\u65b0\u7684\u591a\u6a21\u6001\u5f15\u64ce\u3002\u8fd9\u79cd\u6539\u8fdb\u786e\u4fdd\u4e86\u5de5\u5177\u8c03\u7528\u94fe\u8def\u7684\u5b8c\u6574\u6027\u548c\u4e00\u81f4\u6027\uff0c\u4e3a\u6784\u5efa\u590d\u6742\u7684\u5de5\u5177\u8c03\u7528\u5de5\u4f5c\u6d41\u5960\u5b9a\u4e86\u57fa\u7840\u3002<\/p>\n","protected":false},"author":2,"featured_media":53297,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[92,50,87,4084],"topic":[],"class_list":["post-53298","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-github","tag-50","tag-87","tag-vschatgpt"],"yoast_head":"\nollama v0.11.4 \u91cd\u78c5\u66f4\u65b0\uff1a\u5de5\u5177\u8c03\u7528\u4e0e\u63a8\u7406\u80fd\u529b\u5168\u9762\u5347\u7ea7\u7684\u6280\u672f\u89e3\u6790 - 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