{"id":15047,"date":"2026-04-15T09:41:08","date_gmt":"2026-04-15T01:41:08","guid":{"rendered":"https:\/\/www.novel086.top\/?p=15047"},"modified":"2026-04-17T14:13:27","modified_gmt":"2026-04-17T06:13:27","slug":"ollamaopencodegemma4","status":"publish","type":"post","link":"https:\/\/www.novel086.top\/index.php\/2026\/04\/15\/ollamaopencodegemma4\/","title":{"rendered":"Ollama+OpenCode+Gemma4\u672c\u5730\u5927\u6a21\u578b\u7f16\u7a0b\u73af\u5883\u642d\u5efa\u4e0e\u4f7f\u7528\u6307\u5357"},"content":{"rendered":"\n

\u4e00\u3001\u73af\u5883\u51c6\u5907<\/strong><\/a><\/p>\n\n\n\n

\u9879\u76ee<\/strong><\/td>\u6700\u4f4e\u8981\u6c42<\/strong><\/td>\u63a8\u8350\u914d\u7f6e<\/strong><\/td><\/tr><\/thead>
\u64cd\u4f5c\u7cfb\u7edf<\/td>Windows 10+\/macOS 12+\/Ubuntu 20.04+<\/td>Ubuntu 22.04 LTS \/ macOS Sonoma+<\/td><\/tr>
CPU<\/td>x86_64 \/ ARM64\uff08\u652f\u6301 AVX2\/NEON\uff09<\/td>8\u6838+\uff0c\u591a\u6838\u8c03\u5ea6\u4f18\u5316<\/td><\/tr>
\u5185\u5b58<\/td>16 GB<\/td>32 GB+\uff08\u8fd0\u884c 9B\/27B \u6a21\u578b\uff09<\/td><\/tr>
\u663e\u5361<\/td>\u65e0\uff08CPU \u53ef\u63a8\u7406\uff09<\/td>NVIDIA GPU 8GB+ VRAM\uff08RTX 3060\/4060+\uff09<\/td><\/tr>
\u78c1\u76d8<\/td>15 GB \u53ef\u7528\u7a7a\u95f4<\/td>50 GB SSD\uff08\u6a21\u578b\u7f13\u5b58+\u9879\u76ee\u6587\u4ef6\uff09<\/td><\/tr>
\u7f51\u7edc<\/td>\u9996\u6b21\u62c9\u53d6\u9700\u5916\u7f51<\/td>\u540e\u7eed\u53ef\u5b8c\u5168\u79bb\u7ebf\u8fd0\u884c<\/td><\/tr>
\u4f9d\u8d56\u73af\u5883<\/td>Python 3.9+ \u6216 Node.js 18+<\/td>pip \/ npm \u6700\u65b0\u7248<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\ud83d\udca1 \u63d0\u793a\uff1a\u65e0 GPU \u7528\u6237\u5efa\u8bae\u4f7f\u7528 q4_K_M \u91cf\u5316\u7248\u672c\uff0c\u54cd\u5e94\u901f\u5ea6\u53ef\u63d0\u5347 3~5 \u500d\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e8c\u3001\u8be6\u7ec6\u90e8\u7f72\u6b65\u9aa4<\/strong><\/p>\n\n\n\n

2.1 \u5b89\u88c5\u5e76\u542f\u52a8 Ollama<\/strong><\/p>\n\n\n\n

# Linux \/ macOS<\/p>\n\n\n\n

curl -fsSL https:\/\/ollama.com\/install.sh | sh<\/p>\n\n\n\n

# Windows<\/p>\n\n\n\n

\u8bbf\u95ee https:\/\/ollama.com\/download \u4e0b\u8f7d .exe \u5b89\u88c5\u5305\uff0c\u6309\u5411\u5bfc\u5b8c\u6210\u5b89\u88c5<\/p>\n\n\n\n

# \u542f\u52a8\u670d\u52a1\uff08\u9ed8\u8ba4\u76d1\u542c http:\/\/localhost:11434\uff09<\/p>\n\n\n\n

ollama serve &<\/p>\n\n\n\n

2.2 \u62c9\u53d6 Gemma 4\uff08\u6216\u66ff\u4ee3\u7248\u672c\uff09<\/strong><\/p>\n\n\n\n

# \u5c1d\u8bd5\u62c9\u53d6 gemma4\uff08\u82e5\u672a\u53d1\u5e03\u4f1a\u81ea\u52a8\u63d0\u793a\u53ef\u7528\u7248\u672c\uff09<\/p>\n\n\n\n

ollama pull gemma4:9b<\/p>\n\n\n\n

# \u5f53\u524d\u7a33\u5b9a\u66ff\u4ee3\u65b9\u6848<\/p>\n\n\n\n

# ollama pull gemma3:9b          # \u5e73\u8861\u6027\u80fd\u4e0e\u663e\u5b58<\/p>\n\n\n\n

# ollama pull gemma3:27b-q4_K_M  # \u9ad8\u914d\u8bbe\u5907\u63a8\u8350\u91cf\u5316\u7248<\/p>\n\n\n\n

# \u9a8c\u8bc1\u6a21\u578b\u53ef\u7528\u6027<\/p>\n\n\n\n

ollama list<\/p>\n\n\n\n

ollama run gemma4:9b “Hello, test local inference.”<\/p>\n\n\n\n

2.3 \u5b89\u88c5 OpenCode<\/strong><\/p>\n\n\n\n

# \u65b9\u5f0f 1\uff1apip \u5b89\u88c5\uff08Python \u751f\u6001\uff09<\/p>\n\n\n\n

pip install opencode-cli<\/p>\n\n\n\n

# \u65b9\u5f0f 2\uff1anpm \u5b89\u88c5\uff08Node.js \u751f\u6001\uff09<\/p>\n\n\n\n

npm install -g @opencode\/cli<\/p>\n\n\n\n

# \u9a8c\u8bc1\u5b89\u88c5<\/p>\n\n\n\n

opencode –version<\/p>\n\n\n\n

\ud83d\udccc \u6ce8\uff1a\u4e0d\u540c\u53d1\u884c\u7248\u7684 OpenCode \u5305\u540d\u53ef\u80fd\u7565\u6709\u5dee\u5f02\uff0c\u8bf7\u4ee5 GitHub \u5b98\u65b9\u4ed3\u5e93\u4e3a\u51c6\u3002\u672c\u6587\u4ee5\u6807\u51c6 CLI \u7248\u672c\u4e3a\u4f8b\u3002<\/p>\n\n\n\n

2.4 \u914d\u7f6e OpenCode \u5bf9\u63a5 Ollama<\/strong><\/p>\n\n\n\n

OpenCode \u9ed8\u8ba4\u652f\u6301 OpenAI \u517c\u5bb9\u534f\u8bae\uff0c\u53ea\u9700\u4fee\u6539 API \u7aef\u70b9\u4e0e\u6a21\u578b\u540d\u79f0\u5373\u53ef\u5bf9\u63a5\u672c\u5730 Ollama\u3002<\/p>\n\n\n\n

\ud83d\udd39 \u65b9\u6cd5 1\uff1a\u73af\u5883\u53d8\u91cf\uff08\u63a8\u8350\uff0c\u4e34\u65f6\/CI\u53cb\u597d\uff09<\/strong><\/p>\n\n\n\n

export OPENAI_API_BASE=http:\/\/localhost:11434\/v1<\/p>\n\n\n\n

export OPENAI_API_KEY=ollama<\/p>\n\n\n\n

export OPENCODE_MODEL=gemma4:9b<\/p>\n\n\n\n

\ud83d\udd39 \u65b9\u6cd5 2\uff1a\u914d\u7f6e\u6587\u4ef6\uff08\u6301\u4e45\u5316\uff09<\/strong><\/p>\n\n\n\n

\u521b\u5efa ~\/.opencode\/config.yaml\uff08Windows: %USERPROFILE%\\.opencode\\config.yaml\uff09\uff1a<\/p>\n\n\n\n

api:<\/p>\n\n\n\n

  base_url: http:\/\/localhost:11434\/v1<\/p>\n\n\n\n

  api_key: ollama<\/p>\n\n\n\n

model: gemma4:9b<\/p>\n\n\n\n

context_window: 8192<\/p>\n\n\n\n

temperature: 0.3<\/p>\n\n\n\n

max_tokens: 4096<\/p>\n\n\n\n

auto_commit: true<\/p>\n\n\n\n

theme: dark<\/p>\n\n\n\n

\ud83d\udd0d \u9a8c\u8bc1\u8fde\u901a\u6027<\/strong><\/p>\n\n\n\n

# \u6d4b\u8bd5 Ollama OpenAI \u517c\u5bb9\u63a5\u53e3<\/p>\n\n\n\n

curl -s http:\/\/localhost:11434\/v1\/chat\/completions \\<\/p>\n\n\n\n

  -H “Content-Type: application\/json” \\<\/p>\n\n\n\n

  -H “Authorization: Bearer ollama” \\<\/p>\n\n\n\n

  -d ‘{“model”:”gemma4:9b”,”messages”:[{“role”:”user”,”content”:”Return only: OK”}]}’ | grep -o ‘”content”:”[^”]*”‘<\/p>\n\n\n\n

# \u9884\u671f\u8f93\u51fa\uff1aOK<\/p>\n\n\n\n

\n\n\n\n

\u4e09\u3001\u64cd\u4f5c\u4e0e\u4f7f\u7528\u6307\u5357<\/strong><\/p>\n\n\n\n

3.1 \u542f\u52a8\u4e0e\u57fa\u7840\u4ea4\u4e92<\/strong><\/p>\n\n\n\n

# \u8fdb\u5165\u9879\u76ee\u6839\u76ee\u5f55<\/p>\n\n\n\n

cd \/path\/to\/your\/project<\/p>\n\n\n\n

# \u542f\u52a8 OpenCode\uff08\u81ea\u52a8\u52a0\u8f7d\u4e0a\u4e0b\u6587\u4e0e\u914d\u7f6e\uff09<\/p>\n\n\n\n

opencode<\/p>\n\n\n\n

# \u4ea4\u4e92\u793a\u4f8b<\/p>\n\n\n\n

> \/add src\/main.py tests\/test_core.py<\/p>\n\n\n\n

> \u4e3a extract_data \u51fd\u6570\u6dfb\u52a0\u7c7b\u578b\u6ce8\u89e3\u4e0e\u5f02\u5e38\u5904\u7406\u903b\u8f91<\/p>\n\n\n\n

> \u751f\u6210\u5bf9\u5e94\u7684\u5355\u5143\u6d4b\u8bd5\uff0c\u8986\u76d6\u8fb9\u754c\u60c5\u51b5<\/p>\n\n\n\n

> \/explain .\/config.yaml \u7b2c 12-18 \u884c<\/p>\n\n\n\n

> \/undo          # \u64a4\u9500\u6700\u8fd1\u4e00\u6b21\u4ee3\u7801\u4fee\u6539<\/p>\n\n\n\n

> \/commit        # \u81ea\u52a8\u751f\u6210 git commit \u5e76\u63d0\u4ea4<\/p>\n\n\n\n

> \/exit<\/p>\n\n\n\n

3.2 \u6838\u5fc3\u547d\u4ee4\u901f\u67e5<\/strong><\/p>\n\n\n\n

\u547d\u4ee4<\/strong><\/td>\u529f\u80fd\u8bf4\u660e<\/strong><\/td><\/tr><\/thead>
\/add <file><\/td>\u5c06\u6587\u4ef6\u52a0\u5165\u4e0a\u4e0b\u6587\uff08\u652f\u6301 *.py\u3001src\/**\/*.ts \u7b49\u901a\u914d\u7b26\uff09<\/td><\/tr>
\/drop <file><\/td>\u79fb\u9664\u6307\u5b9a\u6587\u4ef6\u4e0a\u4e0b\u6587<\/td><\/tr>
\/clear<\/td>\u6e05\u7a7a\u5bf9\u8bdd\u5386\u53f2\uff0c\u91ca\u653e\u5185\u5b58\u4e0e\u4e0a\u4e0b\u6587\u7a97\u53e3<\/td><\/tr>
\/ask<\/td>\u7eaf\u95ee\u7b54\u6a21\u5f0f\uff0c\u4e0d\u4fee\u6539\u672c\u5730\u6587\u4ef6<\/td><\/tr>
\/code<\/td>\u5f3a\u5236\u8fdb\u5165\u4ee3\u7801\u751f\u6210\/\u91cd\u6784\u6a21\u5f0f<\/td><\/tr>
\/diff<\/td>\u67e5\u770b\u5f53\u524d\u4f1a\u8bdd\u4ea7\u751f\u7684\u4ee3\u7801\u53d8\u66f4<\/td><\/tr>
\/commit<\/td>\u81ea\u52a8\u751f\u6210\u7b26\u5408 Conventional Commits \u89c4\u8303\u7684\u63d0\u4ea4<\/td><\/tr>
Ctrl+C<\/td>\u4e2d\u65ad\u5f53\u524d\u6d41\u5f0f\u751f\u6210<\/td><\/tr>
!!<\/td>\u91cd\u590d\u6267\u884c\u4e0a\u4e00\u6761\u6307\u4ee4<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

3.3 \u9ad8\u7ea7\u4f7f\u7528\u6280\u5de7<\/strong><\/p>\n\n\n\n

    \n
  1. \u52a8\u6001\u4e0a\u4e0b\u6587\u6ce8\u5165<\/strong>\uff1a\u914d\u5408 Git \u7cbe\u51c6\u63a7\u5236\u4e0a\u4e0b\u6587\u8303\u56f4<\/li>\n<\/ol>\n\n\n\n

    opencode $(git diff –name-only HEAD~1 | grep ‘\\.py$’)<\/p>\n\n\n\n

      \n
    1. \u7cfb\u7edf\u63d0\u793a\u8bcd\u5b9a\u5236<\/strong>\uff1a\u5728\u914d\u7f6e\u6587\u4ef6\u4e2d\u8ffd\u52a0 system_prompt \u5b57\u6bb5<\/li>\n<\/ol>\n\n\n\n

      system_prompt: |<\/p>\n\n\n\n

        \u4f60\u662f\u4e00\u540d\u8d44\u6df1\u540e\u7aef\u5de5\u7a0b\u5e08\u3002\u9075\u5faa SOLID \u539f\u5219\uff0c\u4f18\u5148\u4f7f\u7528\u7c7b\u578b\u5b89\u5168\u5199\u6cd5\uff0c\u7981\u6b62\u786c\u7f16\u7801\u5bc6\u94a5\uff0c\u6240\u6709\u5916\u90e8\u8f93\u5165\u5fc5\u987b\u6821\u9a8c\u3002<\/p>\n\n\n\n

        \n
      1. \u8c03\u6574\u4e0a\u4e0b\u6587\u7a97\u53e3<\/strong>\uff1aOllama \u9ed8\u8ba4 8K\uff0c\u53ef\u901a\u8fc7\u542f\u52a8\u53c2\u6570\u6216\u914d\u7f6e\u6587\u4ef6\u8c03\u6574<\/li>\n<\/ol>\n\n\n\n

        # \u4e34\u65f6\u6269\u5927\u81f3 16K\uff08\u9700\u8db3\u591f\u663e\u5b58\/\u5185\u5b58\uff09<\/p>\n\n\n\n

        ollama run gemma4:9b –num_ctx 16384<\/p>\n\n\n\n

          \n
        1. \u591a\u6587\u4ef6\u5e76\u884c\u5904\u7406<\/strong>\uff1a\u4f7f\u7528 \/add \u6279\u91cf\u52a0\u8f7d\u540e\uff0c\u7528 @refactor \u89e6\u53d1\u8de8\u6587\u4ef6\u91cd\u6784\uff08\u4f9d\u8d56 OpenCode \u7248\u672c\u652f\u6301\uff09\u3002<\/li>\n<\/ol>\n\n\n\n
          \n\n\n\n

          \u56db\u3001\u540c\u7c7b\u65b9\u6848\u5bf9\u6bd4<\/strong><\/p>\n\n\n\n

          \u65b9\u6848<\/strong><\/td>\u67b6\u6784<\/strong><\/td>\u6a21\u578b\u652f\u6301<\/strong><\/td>\u9690\u79c1\u6027<\/strong><\/td>\u6210\u672c<\/strong><\/td>\u90e8\u7f72\u96be\u5ea6<\/strong><\/td>\u9002\u7528\u573a\u666f<\/strong><\/td><\/tr><\/thead>
          Ollama + OpenCode + Gemma4<\/strong><\/td>\u7eaf\u672c\u5730<\/td>\u4efb\u610f Ollama \u6a21\u578b<\/td>\u2b50\u2b50\u2b50\u2b50\u2b50<\/td>\u96f6 API \u8d39<\/td>\u2b50\u2b50\u2606<\/td>\u654f\u611f\u4ee3\u7801\u3001\u79bb\u7ebf\u5f00\u53d1\u3001\u6df1\u5ea6\u5b9a\u5236\u3001\u6210\u672c\u654f\u611f<\/td><\/tr>
          Claude Code (\u5b98\u65b9)<\/strong><\/td>\u4e91\u7aef API<\/td>\u4ec5 Anthropic Claude<\/td>\u2b50\u2b50\u2606<\/td>$15~$100\/\u6708<\/td>\u2b50\u2606\u2606<\/td>\u5feb\u901f\u8fed\u4ee3\u3001Claude \u751f\u6001\u4f9d\u8d56\u3001\u4f01\u4e1a\u5408\u89c4\u5141\u8bb8\u4e91\u7aef<\/td><\/tr>
          GitHub Copilot<\/strong><\/td>\u4e91\u7aef<\/td>OpenAI\/Codex \u95ed\u6e90<\/td>\u2b50\u2606\u2606<\/td>$10\/\u6708<\/td>\u2b50\u2606\u2606<\/td>IDE \u65e0\u7f1d\u96c6\u6210\u3001\u4f01\u4e1a\u7edf\u4e00\u91c7\u8d2d\u3001\u975e\u6280\u672f\u573a\u666f<\/td><\/tr>
          LM Studio + Cursor<\/strong><\/td>\u672c\u5730+\u4e91\u7aef\u6df7\u5408<\/td>\u591a\u683c\u5f0f GGUF<\/td>\u2b50\u2b50\u2b50<\/td>\u6df7\u5408\u8ba1\u8d39<\/td>\u2b50\u2b50\u2606<\/td>\u53ef\u89c6\u5316\u504f\u597d\u3001\u8de8\u6a21\u578b\u5bf9\u6bd4\u3001\u6559\u5b66\u6f14\u793a<\/td><\/tr>
          vLLM + OpenCompass + IDE \u63d2\u4ef6<\/strong><\/td>\u672c\u5730\u96c6\u7fa4<\/td>\u5168\u91cf\u5f00\u6e90<\/td>\u2b50\u2b50\u2b50\u2b50\u2b50<\/td>\u786c\u4ef6\u6210\u672c\u9ad8<\/td>\u2b50\u2b50\u2b50\u2b50<\/td>\u7b97\u6cd5\u56e2\u961f\u3001\u538b\u6d4b\u57fa\u51c6\u3001\u9ad8\u5e76\u53d1\u670d\u52a1<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

          \ud83d\udd0d \u65b9\u6848\u9009\u62e9\u5efa\u8bae<\/strong><\/p>\n\n\n\n

            \n
          • \u2705 \u9009\u62e9\u672c\u65b9\u6848\u82e5\uff1a\u4ee3\u7801\u6d89\u5bc6\u3001\u7f51\u7edc\u4e0d\u7a33\u5b9a\u3001\u5e0c\u671b\u5b8c\u5168\u638c\u63a7\u63a8\u7406\u8fc7\u7a0b\u3001\u9884\u7b97\u6709\u9650\u4f46\u5177\u5907\u57fa\u7840\u786c\u4ef6\u3002<\/li>\n\n\n\n
          • \u274c \u4e0d\u9009\u672c\u65b9\u6848\u82e5\uff1a\u9700\u6700\u65b0\u95ed\u6e90\u6a21\u578b\u80fd\u529b\u3001\u8ffd\u6c42\u5f00\u7bb1\u5373\u7528 IDE \u4f53\u9a8c\u3001\u56e2\u961f\u65e0\u672c\u5730\u8fd0\u7ef4\u80fd\u529b\u3002<\/li>\n<\/ul>\n\n\n\n
            \n\n\n\n

            \u4e94\u3001\u5e38\u89c1\u95ee\u9898\u4e0e\u6027\u80fd\u4f18\u5316<\/strong><\/p>\n\n\n\n

            \u95ee\u9898<\/strong><\/td>\u539f\u56e0<\/strong><\/td>\u89e3\u51b3\u65b9\u6848<\/strong><\/td><\/tr><\/thead>
            Connection refused<\/td>Ollama \u670d\u52a1\u672a\u542f\u52a8\u6216\u7aef\u53e3\u88ab\u5360<\/td>lsof -i :11434 \u68c0\u67e5\uff0c\u6267\u884c ollama serve<\/td><\/tr>
            CUDA out of memory<\/td>\u6a21\u578b\u8d85\u51fa\u663e\u5b58<\/td>\u6362 q4_K_M \u91cf\u5316\u7248\uff0c\u6216\u52a0 –num_gpu 0 \u5f3a\u5236 CPU<\/td><\/tr>
            \u4ee3\u7801\u751f\u6210\u8d28\u91cf\u5dee<\/td>\u63d0\u793a\u8bcd\u6a21\u7cca\/\u4e0a\u4e0b\u6587\u4e0d\u8db3<\/td>\u660e\u786e\u8bed\u8a00\u3001\u6846\u67b6\u3001\u7ea6\u675f\u6761\u4ef6\uff1b\u7528 \/add \u6ce8\u5165\u4f9d\u8d56\u6587\u4ef6<\/td><\/tr>
            \u54cd\u5e94\u6781\u6162\uff08>10s\/\u5b57\uff09<\/td>\u65e0 GPU \u6216\u6a21\u578b\u8fc7\u5927<\/td>\u6362 3B \u6a21\u578b\uff0c\u6216\u542f\u7528 –threads 8 \u5e76\u884c CPU \u63a8\u7406<\/td><\/tr>
            OpenCode \u65e0\u6cd5\u8bc6\u522b\u6a21\u578b<\/td>API \u8def\u5f84\u6216\u53c2\u6570\u4e0d\u5339\u914d<\/td>\u786e\u8ba4 base_url \u542b \/v1\uff0capi_key \u975e\u7a7a\uff0c\u6a21\u578b\u540d\u4e0e ollama list \u4e00\u81f4<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

            \ud83d\udee0 \u6027\u80fd\u8c03\u4f18\u6e05\u5355<\/strong><\/p>\n\n\n\n

              \n
            1. GPU \u52a0\u901f<\/strong>\uff1aexport OLLAMA_NUM_GPU=99\uff08\u4f18\u5148\u4f7f\u7528\u5168\u90e8\u53ef\u7528\u663e\u5b58\uff09<\/li>\n\n\n\n
            2. \u91cf\u5316\u7b56\u7565<\/strong>\uff1a\u4f18\u5148 Q4_K_M \u6216 Q5_K_M\uff0c\u5e73\u8861\u901f\u5ea6\u4e0e\u8d28\u91cf<\/li>\n\n\n\n
            3. \u4e0a\u4e0b\u6587\u63a7\u5236<\/strong>\uff1a\u5355\u6b21 \/add \u4e0d\u8d85\u8fc7 15 \u4e2a\u6838\u5fc3\u6587\u4ef6\uff0c\u907f\u514d\u7a97\u53e3\u6ea2\u51fa<\/li>\n\n\n\n
            4. \u7f13\u5b58\u6e05\u7406<\/strong>\uff1a\u5b9a\u671f\u6267\u884c ollama rm <model> + rm -rf ~\/.ollama\/models\/blobs<\/li>\n\n\n\n
            5. \u670d\u52a1\u5b88\u62a4<\/strong>\uff1a\u4f7f\u7528 systemd\uff08Linux\uff09\u6216 launchd\uff08macOS\uff09\u8bbe\u7f6e Ollama \u5f00\u673a\u81ea\u542f<\/li>\n<\/ol>\n\n\n\n

              <\/p>\n","protected":false},"excerpt":{"rendered":"

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