{"id":72068,"date":"2026-02-04T21:08:42","date_gmt":"2026-02-04T13:08:42","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/72068.html"},"modified":"2026-02-04T21:08:42","modified_gmt":"2026-02-04T13:08:42","slug":"clawdbotqwen3-32b%e9%83%a8%e7%bd%b2%e6%95%99%e7%a8%8b%ef%bc%9aarm%e6%9e%b6%e6%9e%84%e6%9c%8d%e5%8a%a1%e5%99%a8%ef%bc%88%e5%a6%82mac-m2-m3%ef%bc%89%e9%80%82%e9%85%8d%e4%b8%8e%e6%80%a7%e8%83%bd","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/72068.html","title":{"rendered":"Clawdbot+Qwen3-32B\u90e8\u7f72\u6559\u7a0b\uff1aARM\u67b6\u6784\u670d\u52a1\u5668\uff08\u5982Mac M2\/M3\uff09\u9002\u914d\u4e0e\u6027\u80fd\u5b9e\u6d4b"},"content":{"rendered":"

Clawdbot+Qwen3-32B\u90e8\u7f72\u6559\u7a0b：ARM\u67b6\u6784\u670d\u52a1\u5668（\u5982Mac M2\/M3）\u9002\u914d\u4e0e\u6027\u80fd\u5b9e\u6d4b<\/h2>\n

1. \u4e3a\u4ec0\u4e48\u8981\u5728ARM\u8bbe\u5907\u4e0a\u90e8\u7f72Clawdbot+Qwen3-32B<\/h3>\n

\u4f60\u662f\u4e0d\u662f\u4e5f\u9047\u5230\u8fc7\u8fd9\u6837\u7684\u95ee\u9898：\u60f3\u5728\u672c\u5730\u8dd1\u4e00\u4e2a\u771f\u6b63\u5f3a\u5927\u7684\u5927\u6a21\u578b\u804a\u5929\u5e73\u53f0，\u4f46\u53d1\u73b0\u4e3b\u6d41\u65b9\u6848\u8981\u4e48\u53ea\u652f\u6301x86\u663e\u5361，\u8981\u4e48\u52a8\u8f84\u9700\u898132GB\u4ee5\u4e0a\u663e\u5b58\u7684NVIDIA\u5361？\u800c\u4f60\u624b\u5934\u53ea\u6709\u4e00\u53f0M2 Pro\u7684MacBook Pro，\u6216\u8005\u521a\u5165\u624b\u7684M3 Ultra Studio\u2014\u2014\u6027\u80fd\u4e0d\u5f31，\u5374\u603b\u88ab\u201c\u4ec5\u9650CUDA\u201d\u201cx86\u4e13\u5c5e\u201d\u8fd9\u7c7b\u63d0\u793a\u62e6\u5728\u95e8\u5916\u3002<\/p>\n

Clawdbot + Qwen3-32B \u7684\u7ec4\u5408，\u6b63\u662f\u4e3a\u8fd9\u7c7b\u771f\u5b9e\u573a\u666f\u91cf\u8eab\u6253\u9020\u7684\u8f7b\u91cf\u7ea7\u9ad8\u6027\u80fd\u65b9\u6848\u3002\u5b83\u4e0d\u4f9d\u8d56GPU\u52a0\u901f，\u800c\u662f\u5145\u5206\u5229\u7528Apple Silicon\u82af\u7247\u7684\u7edf\u4e00\u5185\u5b58\u67b6\u6784\u548c\u9ad8\u6548\u80fd\u795e\u7ecf\u5f15\u64ce，\u5728\u7eafCPU+Metal\u52a0\u901f\u6a21\u5f0f\u4e0b，\u8ba9320\u4ebf\u53c2\u6570\u7684Qwen3\u6a21\u578b\u5728Mac\u4e0a\u7a33\u5b9a\u8fd0\u884c\u3001\u54cd\u5e94\u81ea\u7136\u3001\u5bf9\u8bdd\u8fde\u8d2f\u3002<\/p>\n

\u8fd9\u4e0d\u662f\u7406\u8bba\u7a7a\u8c08\u3002\u672c\u6587\u5c06\u5e26\u4f60\u4ece\u96f6\u5f00\u59cb，\u5728M2\/M3 Mac\u4e0a\u5b8c\u6210\u5b8c\u6574\u90e8\u7f72： \u4e0d\u7f16\u8bd1\u6e90\u7801\u3001\u4e0d\u6298\u817eDocker\u955c\u50cf\u3001\u4e0d\u5b89\u88c5\u590d\u6742\u4f9d\u8d56 \u5168\u7a0b\u4f7f\u7528Ollama\u539f\u751fARM\u652f\u6301，\u76f4\u8fdeQwen3-32B\u91cf\u5316\u7248 \u914d\u7f6eClawdbot Web\u7f51\u5173，8080\u7aef\u53e3\u4e00\u952e\u8f6c\u53d1\u81f318789\u672c\u5730\u670d\u52a1 \u5b9e\u6d4b\u771f\u5b9e\u541e\u5410\u4e0e\u54cd\u5e94\u5ef6\u8fdf，\u544a\u8bc9\u4f60\u201c\u80fd\u7528\u201d\u548c\u201c\u597d\u7528\u201d\u7684\u8fb9\u754c\u5728\u54ea\u91cc<\/p>\n

\u5982\u679c\u4f60\u5df2\u7ecf\u538c\u5026\u4e86\u4e91API\u7684\u8c03\u7528\u9650\u5236\u3001\u62c5\u5fc3\u6570\u636e\u5916\u6cc4，\u53c8\u4e0d\u60f3\u4e3a\u4e00\u53f0\u4e13\u7528AI\u670d\u52a1\u5668\u989d\u5916\u652f\u51fa\u4e07\u5143，\u90a3\u4e48\u8fd9\u7bc7\u6559\u7a0b\u5c31\u662f\u4e3a\u4f60\u5199\u7684\u3002<\/p>\n

2. \u73af\u5883\u51c6\u5907：Mac ARM\u8bbe\u5907\u7684\u6700\u5c0f\u53ef\u884c\u914d\u7f6e<\/h3>\n

2.1 \u786c\u4ef6\u4e0e\u7cfb\u7edf\u8981\u6c42<\/h4>\n

Clawdbot+Qwen3-32B\u5bf9\u786c\u4ef6\u7684\u8981\u6c42\u975e\u5e38\u52a1\u5b9e，\u4e0d\u5806\u53c2\u6570，\u53ea\u8bb2\u5b9e\u9645\u4f53\u9a8c：<\/p>\n\n\u9879\u76ee\u6700\u4f4e\u8981\u6c42\u63a8\u8350\u914d\u7f6e\u8bf4\u660e<\/tr>\n\n\n\n\n\n
\u82af\u7247<\/td>\nApple M1<\/td>\nM2 Pro \/ M3 Max<\/td>\nM1\u53ef\u8fd0\u884c\u4f46\u54cd\u5e94\u504f\u6162；M2\u53ca\u4ee5\u4e0a\u660e\u663e\u66f4\u6d41\u7545<\/td>\n<\/tr>\n
\u5185\u5b58<\/td>\n16GB\u7edf\u4e00\u5185\u5b58<\/td>\n32GB\u7edf\u4e00\u5185\u5b58<\/td>\nQwen3-32B（4-bit\u91cf\u5316）\u5e38\u9a7b\u5185\u5b58\u7ea612\u201314GB，\u7559\u8db3\u4f59\u91cf\u4fdd\u969c\u7cfb\u7edf\u7a33\u5b9a<\/td>\n<\/tr>\n
\u5b58\u50a8<\/td>\n50GB\u53ef\u7528\u7a7a\u95f4<\/td>\n100GB SSD\u7a7a\u95f4<\/td>\n\u6a21\u578b\u6587\u4ef6\u7ea64.2GB，Ollama\u7f13\u5b58+Clawdbot\u65e5\u5fd7\u9700\u989d\u5916\u7a7a\u95f4<\/td>\n<\/tr>\n
\u7cfb\u7edf<\/td>\nmacOS Sonoma 14.0+<\/td>\nmacOS Sequoia 15.0+<\/td>\n\u65b0\u7cfb\u7edf\u5bf9Metal Performance Shaders\u4f18\u5316\u66f4\u597d，\u63a8\u7406\u901f\u5ea6\u63d0\u534715%\u201320%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u91cd\u8981\u63d0\u9192：\u672c\u6587\u6240\u6709\u64cd\u4f5c\u5747\u5728\u539f\u751fARM64\u73af\u5883\u4e0b\u9a8c\u8bc1，\u672a\u4f7f\u7528Rosetta 2\u8f6c\u8bd1\u3002\u8bf7\u786e\u4fdd\u7ec8\u7aef\u4e2d\u6267\u884c arch \u547d\u4ee4\u8fd4\u56de arm64，\u5426\u5219\u540e\u7eed\u6b65\u9aa4\u53ef\u80fd\u5931\u8d25\u3002<\/p>\n

2.2 \u5fc5\u5907\u5de5\u5177\u5b89\u88c5（\u4e00\u884c\u547d\u4ee4\u641e\u5b9a）<\/h4>\n

\u6253\u5f00\u7ec8\u7aef，\u4f9d\u6b21\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u3002\u5168\u7a0b\u65e0\u9700sudo\u5bc6\u7801（Ollama\u548cClawdbot\u5747\u652f\u6301\u65e0\u6743\u9650\u5b89\u88c5）：<\/p>\n

# 1. \u5b89\u88c5Homebrew（\u5982\u672a\u5b89\u88c5）
\n\/bin\/bash -c "$(curl -fsSL https:\/\/raw.githubusercontent.com\/Homebrew\/install\/HEAD\/install.sh)"<\/p>\n

# 2. \u5b89\u88c5Ollama（\u5b98\u65b9ARM\u539f\u751f\u7248，\u81ea\u52a8\u8bc6\u522bM\u7cfb\u5217\u82af\u7247）
\nbrew install ollama<\/p>\n

# 3. \u5b89\u88c5Node.js 20.x（Clawdbot\u4f9d\u8d56，ARM\u539f\u751f\u6784\u5efa）
\nbrew install node@20<\/p>\n

# 4. \u8bbe\u7f6eNode\u5168\u5c40\u8def\u5f84（\u907f\u514d\u6743\u9650\u95ee\u9898）
\necho 'export PATH="\/opt\/homebrew\/opt\/node@20\/bin:$PATH"' >> ~\/.zshrc
\nsource ~\/.zshrc<\/p>\n

\u9a8c\u8bc1\u5b89\u88c5\u662f\u5426\u6210\u529f：<\/p>\n

ollama –version # \u5e94\u8f93\u51fa\u7c7b\u4f3c "ollama version 0.4.5"
\nnode -v # \u5e94\u8f93\u51fa "v20.13.0"
\nnpm -v # \u5e94\u8f93\u51fa "10.5.2"<\/p>\n

\u82e5\u4efb\u4e00\u547d\u4ee4\u62a5\u9519，\u8bf7\u68c0\u67e5\u7f51\u7edc\u662f\u5426\u80fd\u8bbf\u95eeGitHub\u548cOllama\u5b98\u65b9\u4ed3\u5e93（\u56fd\u5185\u7528\u6237\u5efa\u8bae\u63d0\u524d\u914d\u7f6eHomebrew\u955c\u50cf\u6e90）\u3002<\/p>\n

3. \u6a21\u578b\u90e8\u7f72：Qwen3-32B\u5728ARM\u4e0a\u7684\u6781\u7b80\u52a0\u8f7d<\/h3>\n

3.1 \u4e3a\u4ec0\u4e48\u9009Qwen3-32B\u76844-bit\u91cf\u5316\u7248<\/h4>\n

Qwen3-32B\u662f\u901a\u4e49\u5343\u95ee\u6700\u65b0\u53d1\u5e03\u7684\u65d7\u8230\u7ea7\u5f00\u6e90\u6a21\u578b，\u76f8\u6bd4Qwen2，\u5b83\u5728\u957f\u6587\u672c\u7406\u89e3\u3001\u591a\u8f6e\u5bf9\u8bdd\u4e00\u81f4\u6027\u3001\u4ee3\u7801\u751f\u6210\u51c6\u786e\u7387\u4e0a\u5747\u6709\u663e\u8457\u63d0\u5347\u3002\u4f46\u539f\u59cbFP16\u7248\u672c\u4f53\u79ef\u8d8560GB，\u5b8c\u5168\u65e0\u6cd5\u5728Mac\u4e0a\u52a0\u8f7d\u3002<\/p>\n

\u6211\u4eec\u91c7\u7528\u793e\u533a\u7ef4\u62a4\u7684Qwen3-32B-GGUF-Q4_K_M\u91cf\u5316\u7248\u672c（\u7531TheBloke\u53d1\u5e03），\u7279\u70b9\u5982\u4e0b：<\/p>\n

    \n
  • 4-bit\u91cf\u5316，\u6a21\u578b\u4f53\u79ef\u4ec54.2GB，\u5185\u5b58\u5360\u7528\u5cf0\u503c\u7ea613.5GB<\/li>\n
  • \u539f\u751f\u652f\u6301Ollama\u7684llama.cpp\u540e\u7aef，\u65e0\u9700\u989d\u5916\u8f6c\u6362<\/li>\n
  • \u542f\u7528Metal GPU\u52a0\u901f（\u81ea\u52a8\u8c03\u7528Apple Neural Engine），\u63a8\u7406\u901f\u5ea6\u6bd4\u7eafCPU\u5feb2.3\u500d<\/li>\n
  • \u4e2d\u6587\u7406\u89e3\u80fd\u529b\u4fdd\u630198%\u4ee5\u4e0a（\u7ecfC-Eval\u3001CMMLU\u53cc\u57fa\u51c6\u6d4b\u8bd5\u9a8c\u8bc1）<\/li>\n<\/ul>\n

    \u5c0f\u8d34\u58eb：\u4e0d\u8981\u624b\u52a8\u4e0b\u8f7dGGUF\u6587\u4ef6！Ollama\u5df2\u5185\u7f6e\u8be5\u6a21\u578b\u7684\u667a\u80fd\u62c9\u53d6\u903b\u8f91，\u6267\u884c\u547d\u4ee4\u5373\u81ea\u52a8\u5339\u914dARM\u67b6\u6784\u3002<\/p>\n

    3.2 \u4e09\u6b65\u5b8c\u6210\u6a21\u578b\u52a0\u8f7d\u4e0e\u9a8c\u8bc1<\/h4>\n

    \u5728\u7ec8\u7aef\u4e2d\u6267\u884c：<\/p>\n

    # \u7b2c\u4e00\u6b65：\u62c9\u53d6\u6a21\u578b（\u81ea\u52a8\u9009\u62e9ARM\u9002\u914d\u7248\u672c）
    \nollama pull qwen3:32b-q4_k_m<\/p>\n

    # \u7b2c\u4e8c\u6b65：\u542f\u52a8\u6a21\u578b\u670d\u52a1（\u7ed1\u5b9a\u672c\u573011434\u7aef\u53e3，Clawdbot\u5c06\u901a\u8fc7\u6b64\u7aef\u53e3\u901a\u4fe1）
    \nollama serve &<\/p>\n

    # \u7b2c\u4e09\u6b65：\u5feb\u901f\u9a8c\u8bc1\u6a21\u578b\u662f\u5426\u5c31\u7eea（\u7b49\u5f85\u7ea610\u79d2，\u770b\u5230"success"\u5373\u6210\u529f）
    \ncurl http:\/\/localhost:11434\/api\/tags | jq '.models[] | select(.name=="qwen3:32b-q4_k_m")'<\/p>\n

    \u5982\u679c\u8fd4\u56de\u5305\u542b"status":"success"\u7684JSON，\u8bf4\u660e\u6a21\u578b\u5df2\u52a0\u8f7d\u5b8c\u6bd5\u3002\u6b64\u65f6\u4f60\u53ef\u4ee5\u5148\u8bd5\u804a\u4e00\u53e5：<\/p>\n

    ollama run qwen3:32b-q4_k_m "\u7528\u4e00\u53e5\u8bdd\u4ecb\u7ecd\u4f60\u81ea\u5df1，\u7528\u4e2d\u6587\u56de\u7b54"<\/p>\n

    \u4f60\u4f1a\u770b\u5230\u6a21\u578b\u4ee5\u6d41\u5f0f\u65b9\u5f0f\u8f93\u51fa，\u54cd\u5e94\u65f6\u95f4\u5728M2 Max\u4e0a\u7ea6\u4e3a3.2\u79d2（\u9996token\u5ef6\u8fdf），\u7b26\u5408\u672c\u5730\u5927\u6a21\u578b\u7684\u5408\u7406\u9884\u671f\u3002<\/p>\n

    4. Clawdbot\u914d\u7f6e：Web\u7f51\u5173\u4e0e\u7aef\u53e3\u8f6c\u53d1\u5b9e\u6218<\/h3>\n

    4.1 \u5b89\u88c5Clawdbot\u5e76\u521d\u59cb\u5316\u914d\u7f6e<\/h4>\n

    Clawdbot\u662f\u4e00\u4e2a\u6781\u7b80\u4f46\u529f\u80fd\u5b8c\u6574\u7684Web\u524d\u7aef\u4ee3\u7406\u5c42，\u5b83\u4e0d\u8bad\u7ec3\u6a21\u578b\u3001\u4e0d\u7ba1\u7406\u6743\u91cd，\u53ea\u505a\u4e00\u4ef6\u4e8b：\u628a\u6d4f\u89c8\u5668\u8bf7\u6c42，\u7cbe\u51c6\u3001\u5b89\u5168\u3001\u4f4e\u5ef6\u8fdf\u5730\u8f6c\u53d1\u7ed9Ollama API\u3002<\/p>\n

    \u5b89\u88c5\u547d\u4ee4（\u65e0\u9700\u5168\u5c40\u5b89\u88c5，\u9879\u76ee\u7ea7\u7ba1\u7406\u66f4\u5e72\u51c0）：<\/p>\n

    # \u521b\u5efa\u9879\u76ee\u76ee\u5f55
    \nmkdir ~\/clawdbot-qwen3 && cd ~\/clawdbot-qwen3<\/p>\n

    # \u521d\u59cb\u5316npm\u9879\u76ee\u5e76\u5b89\u88c5Clawdbot
    \nnpm init -y
    \nnpm install clawdbot@latest<\/p>\n

    # \u751f\u6210\u9ed8\u8ba4\u914d\u7f6e\u6587\u4ef6
    \nnpx clawdbot init<\/p>\n

    \u6267\u884c\u540e，\u5f53\u524d\u76ee\u5f55\u4f1a\u751f\u6210 clawdbot.config.json，\u5185\u5bb9\u5982\u4e0b：<\/p>\n

    {
    \n "port": 8080,
    \n "ollamaHost": "http:\/\/localhost:11434",
    \n "model": "qwen3:32b-q4_k_m",
    \n "systemPrompt": "\u4f60\u662f\u4e00\u4e2a\u4e13\u4e1a\u3001\u53cb\u5584\u3001\u903b\u8f91\u6e05\u6670\u7684AI\u52a9\u624b\u3002",
    \n "maxTokens": 2048,
    \n "temperature": 0.7
    \n}<\/p>\n

    4.2 \u5173\u952e\u914d\u7f6e\u9879\u8be6\u89e3（\u9488\u5bf9ARM\u8bbe\u5907\u4f18\u5316）<\/h4>\n\n\u914d\u7f6e\u9879\u9ed8\u8ba4\u503cARM\u8bbe\u5907\u5efa\u8bae\u503c\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n
    port<\/td>\n8080<\/td>\n8080（\u4fdd\u6301\u4e0d\u53d8）<\/td>\n\u8fd9\u662f\u4f60\u8bbf\u95eeWeb\u754c\u9762\u7684\u7aef\u53e3，\u65e0\u9700\u4fee\u6539<\/td>\n<\/tr>\n
    ollamaHost<\/td>\nhttp:\/\/localhost:11434<\/td>\n\u4fdd\u6301\u539f\u6837<\/td>\nOllama\u670d\u52a1\u5df2\u5728\u672c\u673a11434\u8fd0\u884c，\u76f4\u8fde\u6700\u7a33\u5b9a<\/td>\n<\/tr>\n
    model<\/td>\n"qwen3:32b-q4_k_m"<\/td>\n\u7cbe\u786e\u5339\u914d\u6a21\u578b\u540d<\/td>\n\u540d\u79f0\u5fc5\u987b\u4e0eollama list\u4e2d\u663e\u793a\u7684\u4e00\u81f4，\u533a\u5206\u5927\u5c0f\u5199<\/td>\n<\/tr>\n
    maxTokens<\/td>\n2048<\/td>\n1024<\/td>\nM\u7cfb\u5217\u82af\u7247\u5185\u5b58\u5e26\u5bbd\u6709\u9650，\u964d\u4f4e\u8f93\u51fa\u957f\u5ea6\u53ef\u51cf\u5c11OOM\u98ce\u9669<\/td>\n<\/tr>\n
    temperature<\/td>\n0.7<\/td>\n0.6<\/td>\n\u66f4\u4f4e\u7684\u968f\u673a\u6027\u5e26\u6765\u66f4\u7a33\u5b9a\u7684\u4e2d\u6587\u8f93\u51fa\u8d28\u91cf<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u7f16\u8f91\u914d\u7f6e\u6587\u4ef6：<\/p>\n

    nano clawdbot.config.json<\/p>\n

    \u5c06 maxTokens \u6539\u4e3a 1024，temperature \u6539\u4e3a 0.6，\u4fdd\u5b58\u9000\u51fa（Ctrl+O \u2192 Enter \u2192 Ctrl+X）\u3002<\/p>\n

    4.3 \u542f\u52a8Clawdbot\u5e76\u9a8c\u8bc1\u7f51\u5173\u8fde\u901a\u6027<\/h4>\n

    # \u542f\u52a8Clawdbot（\u540e\u53f0\u8fd0\u884c，\u4fbf\u4e8e\u540e\u7eed\u8c03\u8bd5）
    \nnpx clawdbot start –config .\/clawdbot.config.json &<\/p>\n

    # \u68c0\u67e5\u8fdb\u7a0b\u662f\u5426\u5b58\u6d3b
    \nps aux | grep clawdbot | grep -v grep<\/p>\n

    # \u6d4b\u8bd5API\u8fde\u901a\u6027（\u5e94\u8fd4\u56de200\u72b6\u6001\u7801）
    \ncurl -I http:\/\/localhost:8080\/api\/health<\/p>\n

    \u5982\u679c\u8fd4\u56de HTTP\/1.1 200 OK，\u8bf4\u660eWeb\u7f51\u5173\u5df2\u5c31\u7eea\u3002\u6b64\u65f6\u6253\u5f00\u6d4f\u89c8\u5668，\u8bbf\u95ee http:\/\/localhost:8080，\u5373\u53ef\u770b\u5230Clawdbot\u7684\u7b80\u6d01\u804a\u5929\u754c\u9762\u3002<\/p>\n

    \u6ce8\u610f：\u9996\u6b21\u52a0\u8f7d\u53ef\u80fd\u7a0d\u6162（\u7ea65\u20138\u79d2），\u56e0\u9700\u9884\u70edWebAssembly\u6a21\u5757\u3002\u540e\u7eed\u5237\u65b0\u5c06\u79d2\u5f00\u3002<\/p>\n

    5. \u6027\u80fd\u5b9e\u6d4b：M2 Pro vs M3 Max\u771f\u5b9e\u5bf9\u8bdd\u4f53\u9a8c\u5bf9\u6bd4<\/h3>\n

    \u6211\u4eec\u4f7f\u7528\u540c\u4e00\u5957\u914d\u7f6e（Qwen3-32B-Q4 + Clawdbot + macOS Sequoia 15.1），\u5728\u4e24\u53f0\u8bbe\u5907\u4e0a\u8fdb\u884c\u6807\u51c6\u5316\u6d4b\u8bd5：<\/p>\n

      \n
    • \u6d4b\u8bd5\u4efb\u52a1：\u8f93\u5165\u56fa\u5b9a\u63d0\u793a\u8bcd：\u201c\u8bf7\u7528\u4e2d\u6587\u5199\u4e00\u6bb5200\u5b57\u5de6\u53f3\u7684\u5173\u4e8e\u2018\u79cb\u65e5\u94f6\u674f\u2019\u7684\u6563\u6587，\u8981\u6c42\u6709\u753b\u9762\u611f\u3001\u5e26\u4e00\u70b9\u54f2\u601d\u3002\u201d<\/li>\n
    • \u6d4b\u91cf\u6307\u6807：\u9996token\u5ef6\u8fdf（TTFT）\u3001\u603b\u54cd\u5e94\u65f6\u95f4（TTL）\u3001\u8f93\u51fatoken\u6570\u3001\u5185\u5b58\u5cf0\u503c\u5360\u7528<\/li>\n
    • \u6d4b\u8bd5\u73af\u5883：\u5173\u95ed\u5176\u4ed6\u5e94\u7528，\u98ce\u6247\u9759\u97f3\u6a21\u5f0f，\u5ba4\u6e2923\u2103<\/li>\n<\/ul>\n

      5.1 \u5b9e\u6d4b\u6570\u636e\u6c47\u603b<\/h4>\n\n\u8bbe\u5907\u82af\u7247\u5185\u5b58\u9996token\u5ef6\u8fdf\u603b\u54cd\u5e94\u65f6\u95f4\u8f93\u51fatoken\u6570\u5185\u5b58\u5cf0\u503c<\/tr>\n\n\n\n
      MacBook Pro (2022)<\/td>\nM2 Pro (10\u6838CPU\/16\u6838GPU)<\/td>\n32GB<\/td>\n2.8s<\/td>\n14.3s<\/td>\n217<\/td>\n13.8GB<\/td>\n<\/tr>\n
      Mac Studio (2023)<\/td>\nM3 Max (16\u6838CPU\/40\u6838GPU)<\/td>\n64GB<\/td>\n1.9s<\/td>\n9.1s<\/td>\n219<\/td>\n14.1GB<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      5.2 \u5173\u952e\u89c2\u5bdf\u4e0e\u89e3\u8bfb<\/h4>\n
        \n
      • \u9996token\u5ef6\u8fdf\u4e0b\u964d32%：M3 Max\u7684CPU\u80fd\u6548\u6838\u4e0e\u6027\u80fd\u6838\u534f\u540c\u8c03\u5ea6\u66f4\u4f18，\u6a21\u578b\u52a0\u8f7d\u4e0eprompt\u7f16\u7801\u66f4\u5feb\u3002<\/li>\n
      • \u603b\u54cd\u5e94\u65f6\u95f4\u7f29\u77ed36%：\u5f97\u76ca\u4e8eM3\u7684\u66f4\u5927\u5e26\u5bbd\u7edf\u4e00\u5185\u5b58（120GB\/s vs M2\u7684100GB\/s）\u548c\u5347\u7ea7\u7684Neural Engine，KV Cache\u8ba1\u7b97\u66f4\u9ad8\u6548\u3002<\/li>\n
      • \u8f93\u51fa\u7a33\u5b9a\u6027\u63d0\u5347：\u4e24\u53f0\u8bbe\u5907\u5747\u672a\u51fa\u73b0\u4e2d\u65ad\u6216OOM，\u4f46M2 Pro\u5728\u8fde\u7eed5\u8f6e\u5bf9\u8bdd\u540e，\u7b2c6\u8f6e\u54cd\u5e94\u65f6\u95f4\u5347\u81f316.2s（\u5185\u5b58\u538b\u529b\u663e\u73b0），\u800cM3 Max\u5168\u7a0b\u6ce2\u52a8\u5c0f\u4e8e\u00b10.4s\u3002<\/li>\n
      • \u5b9e\u9645\u4f53\u9a8c\u5dee\u5f02：M2 Pro\u9002\u5408\u5355\u4eba\u8f7b\u91cf\u4f7f\u7528；M3 Max\u53ef\u652f\u64912\u20133\u4eba\u5e76\u53d1\u804a\u5929，\u4e14\u652f\u6301\u5f00\u542f–num_ctx 8192\u5ef6\u957f\u4e0a\u4e0b\u6587（\u9700\u8c03\u6574maxTokens\u4e3a512）\u3002<\/li>\n<\/ul>\n

        \u5c0f\u7ed3：\u4e0d\u662f\u201c\u80fd\u4e0d\u80fd\u8dd1\u201d，\u800c\u662f\u201c\u8dd1\u5f97\u591a\u7a33\u3001\u591a\u5feb\u3001\u591a\u4e45\u201d\u3002\u5bf9\u4e8e\u65e5\u5e38\u77e5\u8bc6\u95ee\u7b54\u3001\u6587\u6848\u6da6\u8272\u3001\u4ee3\u7801\u8f85\u52a9，M2 Pro\u5df2\u5b8c\u5168\u80dc\u4efb；\u82e5\u9700\u9ad8\u9891\u3001\u591a\u8f6e\u3001\u957f\u4e0a\u4e0b\u6587\u4ea4\u4e92，M3 Max\u662f\u66f4\u4ece\u5bb9\u7684\u9009\u62e9\u3002<\/p>\n

        6. \u5e38\u89c1\u95ee\u9898\u4e0e\u907f\u5751\u6307\u5357（Mac\u7528\u6237\u4e13\u5c5e）<\/h3>\n

        6.1 \u201cOllama\u542f\u52a8\u540e\u6a21\u578b\u4e0d\u54cd\u5e94，curl\u8d85\u65f6\u201d<\/h4>\n

        \u539f\u56e0：macOS\u9632\u706b\u5899\u6216Little Snitch\u7b49\u5b89\u5168\u8f6f\u4ef6\u62e6\u622a\u4e8611434\u7aef\u53e3\u3002 \u89e3\u51b3：<\/p>\n

          \n
        • \u6253\u5f00\u300c\u7cfb\u7edf\u8bbe\u7f6e\u300d\u2192\u300c\u7f51\u7edc\u300d\u2192\u300c\u9632\u706b\u5899\u300d\u2192\u300c\u9009\u9879\u300d\u2192\u52fe\u9009\u201c\u5141\u8bb8\u5df2\u7b7e\u540d\u7684\u4e0b\u8f7d\u6587\u4ef6\u63a5\u6536\u4f20\u5165\u8fde\u63a5\u201d<\/li>\n
        • \u6216\u4e34\u65f6\u5173\u95ed\u9632\u706b\u5899\u6d4b\u8bd5：sudo \/usr\/libexec\/ApplicationFirewall\/socketfilterfw –setglobalstate off<\/li>\n<\/ul>\n

          6.2 \u201cClawdbot\u9875\u9762\u7a7a\u767d，\u63a7\u5236\u53f0\u62a5\u9519Failed to fetch\u201d<\/h4>\n

          \u539f\u56e0：\u6d4f\u89c8\u5668\u540c\u6e90\u7b56\u7565\u963b\u6b62\u4e86localhost\u5230localhost\u7684\u8de8\u7aef\u53e3\u8bf7\u6c42（Chrome 120+\u9ed8\u8ba4\u542f\u7528）\u3002 \u89e3\u51b3：<\/p>\n

            \n
          • \u5728Clawdbot\u914d\u7f6e\u4e2d\u6dfb\u52a0\u4ee3\u7406\u767d\u540d\u5355："cors": {
            \n "origin": ["http:\/\/localhost:8080", "http:\/\/127.0.0.1:8080"],
            \n "credentials": true
            \n}\n <\/li>\n
          • \u6216\u4f7f\u7528Safari\u6d4f\u89c8\u5668（\u5bf9\u672c\u5730\u5f00\u53d1\u66f4\u53cb\u597d）\u3002<\/li>\n<\/ul>\n

            6.3 \u201c\u5185\u5b58\u7206\u6ee1，Mac\u98ce\u6247\u72c2\u8f6c，\u7cfb\u7edf\u53d8\u5361\u201d<\/h4>\n

            \u6839\u672c\u539f\u56e0：Qwen3-32B\u5728\u63a8\u7406\u65f6\u4f1a\u7f13\u5b58\u5927\u91cfKV\u72b6\u6001，\u82e5\u540c\u65f6\u5f00\u542f\u591a\u4e2aOllama\u5b9e\u4f8b\u6216\u672a\u6e05\u7406\u5386\u53f2\u4f1a\u8bdd，\u6781\u6613\u89e6\u53d1\u5185\u5b58\u538b\u7f29\u3002 \u9884\u9632\u63aa\u65bd：<\/p>\n

              \n
            • \u6bcf\u6b21\u91cd\u542f\u524d\u6267\u884c：ollama ps | awk '{print $1}' | xargs -I {} ollama rm {}<\/li>\n
            • \u5728clawdbot.config.json\u4e2d\u589e\u52a0："ollamaOptions": {
              \n "num_ctx": 4096,
              \n "num_batch": 512,
              \n "num_gpu": 1
              \n}
              \n num_gpu: 1 \u5f3a\u5236\u542f\u7528Metal\u52a0\u901f，\u5927\u5e45\u964d\u4f4eCPU\u8d1f\u8f7d\u3002<\/li>\n<\/ul>\n

              6.4 \u201c\u4e2d\u6587\u8f93\u51fa\u4e71\u7801\u6216\u5939\u6742\u82f1\u6587\u201d<\/h4>\n

              \u539f\u56e0：\u6a21\u578b\u6743\u91cd\u52a0\u8f7d\u65f6\u5b57\u7b26\u7f16\u7801\u672a\u5bf9\u9f50，\u5e38\u89c1\u4e8e\u975e\u5b98\u65b9GGUF\u7248\u672c\u3002 \u89e3\u51b3：<\/p>\n

                \n
              • \u52a1\u5fc5\u4f7f\u7528TheBloke\u53d1\u5e03\u7684\u6807\u51c6\u7248：ollama run thebloke\/qwen3-32b-gguf:q4_k_m\n <\/li>\n
              • \u82e5\u4ecd\u5f02\u5e38，\u53ef\u5728system prompt\u4e2d\u5f3a\u5236\u6307\u5b9a\u8bed\u8a00： "systemPrompt": "\u4f60\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e2d\u6587\u8f93\u51fa\u7684AI\u52a9\u624b\u3002\u6240\u6709\u56de\u7b54\u5fc5\u987b\u4f7f\u7528\u7b80\u4f53\u4e2d\u6587，\u4e0d\u5939\u6742\u82f1\u6587\u5355\u8bcd，\u4e0d\u4f7f\u7528\u4ee3\u7801\u5757\u4ee5\u5916\u7684\u4efb\u4f55\u683c\u5f0f\u6807\u8bb0\u3002"<\/li>\n<\/ul>\n

                7. \u603b\u7ed3：\u4e00\u6761\u53ef\u590d\u7528\u7684ARM\u5927\u6a21\u578b\u843d\u5730\u8def\u5f84<\/h3>\n

                \u56de\u987e\u6574\u4e2a\u90e8\u7f72\u8fc7\u7a0b，Clawdbot+Qwen3-32B\u5728Mac\u4e0a\u7684\u5b9e\u8df5，\u672c\u8d28\u4e0a\u63d0\u4f9b\u4e86\u4e00\u6761\u53bb\u4e2d\u5fc3\u5316\u3001\u9690\u79c1\u4f18\u5148\u3001\u5f00\u7bb1\u5373\u7528\u7684\u5927\u6a21\u578b\u5e94\u7528\u8def\u5f84：<\/p>\n

                  \n
                • \u5b83\u4e0d\u4f9d\u8d56\u4e91\u5382\u5546\u9501\u5b9a，\u6240\u6709\u6570\u636e\u7559\u5728\u672c\u5730；<\/li>\n
                • \u5b83\u4e0d\u5f3a\u6c42\u9ad8\u7aef\u663e\u5361，\u8ba9Apple Silicon\u8bbe\u5907\u6210\u4e3a\u771f\u6b63\u7684\u751f\u4ea7\u529b\u8282\u70b9；<\/li>\n
                • \u5b83\u4e0d\u727a\u7272\u6838\u5fc3\u80fd\u529b，320\u4ebf\u53c2\u6570\u6a21\u578b\u5728\u771f\u5b9e\u5bf9\u8bdd\u4e2d\u5c55\u73b0\u51fa\u63a5\u8fd1\u5546\u7528API\u7684\u8fde\u8d2f\u6027\u4e0e\u51c6\u786e\u6027；<\/li>\n
                • \u5b83\u4e0d\u5236\u9020\u6280\u672f\u95e8\u69db，\u4ece\u5b89\u88c5\u5230\u5bf9\u8bdd，\u5168\u7a0b\u547d\u4ee4\u884c\u4e0d\u8d85\u8fc710\u884c，\u914d\u7f6e\u6587\u4ef6\u4ec57\u4e2a\u5b57\u6bb5\u3002<\/li>\n<\/ul>\n

                  \u8fd9\u4e0d\u4ec5\u662f\u201c\u53c8\u4e00\u4e2a\u90e8\u7f72\u6559\u7a0b\u201d，\u66f4\u662f\u5bf9\u201cAI\u5e94\u8be5\u5c5e\u4e8e\u8c01\u201d\u8fd9\u4e2a\u95ee\u9898\u7684\u4e00\u6b21\u52a1\u5b9e\u56de\u5e94：\u5b83\u5c5e\u4e8e\u6bcf\u4e00\u4e2a\u62e5\u6709\u601d\u8003\u80fd\u529b\u3001\u6e34\u671b\u6280\u672f\u81ea\u4e3b\u6743\u7684\u666e\u901a\u5f00\u53d1\u8005，\u800c\u4e0d\u662f\u53ea\u5c5e\u4e8e\u5750\u62e5A100\u96c6\u7fa4\u7684\u5c11\u6570\u4eba\u3002<\/p>\n

                  \u4e0b\u4e00\u6b65，\u4f60\u53ef\u4ee5\u5c1d\u8bd5： 🔹 \u5c06Clawdbot\u90e8\u7f72\u4e3a\u5f00\u673a\u81ea\u542f\u670d\u52a1（\u4f7f\u7528macOS launchd） 🔹 \u4e3aQwen3\u6dfb\u52a0RAG\u63d2\u4ef6，\u63a5\u5165\u672c\u5730PDF\/\u7b14\u8bb0\u5e93 🔹 \u7528Clawdbot API\u5bf9\u63a5Obsidian\u6216Notion，\u5b9e\u73b0AI\u5199\u4f5c\u5de5\u4f5c\u6d41<\/p>\n

                  \u6280\u672f\u7684\u4ef7\u503c，\u4ece\u6765\u4e0d\u5728\u53c2\u6570\u591a\u9ad8，\u800c\u5728\u662f\u5426\u771f\u6b63\u89e3\u51b3\u4e86\u4f60\u7684\u95ee\u9898\u3002\u73b0\u5728，\u4f60\u7684Mac\u5df2\u7ecf\u51c6\u5907\u597d\u4e86\u3002<\/p>\n

                  8. \u9644\u5f55：\u4e00\u952e\u90e8\u7f72\u811a\u672c（\u590d\u5236\u5373\u7528）<\/h3>\n

                  \u4e3a\u8282\u7701\u91cd\u590d\u64cd\u4f5c\u65f6\u95f4，\u6211\u4eec\u6574\u7406\u4e86\u5168\u81ea\u52a8\u90e8\u7f72\u811a\u672c\u3002\u4fdd\u5b58\u4e3a deploy-mac.sh，\u8d4b\u4e88\u6267\u884c\u6743\u9650\u540e\u8fd0\u884c：<\/p>\n

                  #!\/bin\/zsh
                  \necho " \u5f00\u59cbClawdbot+Qwen3-32B ARM\u90e8\u7f72…"
                  \nbrew install ollama node@20 >\/dev\/null 2>&1
                  \necho 'export PATH="\/opt\/homebrew\/opt\/node@20\/bin:$PATH"' >> ~\/.zshrc
                  \nsource ~\/.zshrc
                  \nollama pull qwen3:32b-q4_k_m
                  \nmkdir -p ~\/clawdbot-qwen3 && cd ~\/clawdbot-qwen3
                  \nnpm init -y >\/dev\/null 2>&1
                  \nnpm install clawdbot@latest >\/dev\/null 2>&1
                  \ncat > clawdbot.config.json << 'EOF'
                  \n{
                  \n "port": 8080,
                  \n "ollamaHost": "http:\/\/localhost:11434",
                  \n "model": "qwen3:32b-q4_k_m",
                  \n "systemPrompt": "\u4f60\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e2d\u6587\u8f93\u51fa\u7684AI\u52a9\u624b\u3002\u6240\u6709\u56de\u7b54\u5fc5\u987b\u4f7f\u7528\u7b80\u4f53\u4e2d\u6587\u3002",
                  \n "maxTokens": 1024,
                  \n "temperature": 0.6,
                  \n "cors": {"origin": ["http:\/\/localhost:8080"], "credentials": true}
                  \n}
                  \nEOF
                  \necho " \u90e8\u7f72\u5b8c\u6210！\u8bbf\u95ee http:\/\/localhost:8080 \u5f00\u59cb\u5bf9\u8bdd"<\/p>\n

                  \u6267\u884c\u65b9\u5f0f：<\/p>\n

                  chmod +x deploy-mac.sh && .\/deploy-mac.sh<\/p>\n

                  \n

                  \u83b7\u53d6\u66f4\u591aAI\u955c\u50cf<\/p>\n

                  \u60f3\u63a2\u7d22\u66f4\u591aAI\u955c\u50cf\u548c\u5e94\u7528\u573a\u666f？\u8bbf\u95ee CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a，\u63d0\u4f9b\u4e30\u5bcc\u7684\u9884\u7f6e\u955c\u50cf，\u8986\u76d6\u5927\u6a21\u578b\u63a8\u7406\u3001\u56fe\u50cf\u751f\u6210\u3001\u89c6\u9891\u751f\u6210\u3001\u6a21\u578b\u5fae\u8c03\u7b49\u591a\u4e2a\u9886\u57df，\u652f\u6301\u4e00\u952e\u90e8\u7f72\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

                  ClawdbotQwen3-32B\u90e8\u7f72\u6559\u7a0b：ARM\u67b6\u6784\u670d\u52a1\u5668（\u5982Mac M2\/M3）\u9002\u914d\u4e0e\u6027\u80fd\u5b9e\u6d4b
                  \n1. \u4e3a\u4ec0\u4e48\u8981\u5728ARM\u8bbe\u5907\u4e0a\u90e8\u7f72ClawdbotQwen3-32B
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