{"id":2600,"date":"2026-03-12T15:00:11","date_gmt":"2026-03-12T07:00:11","guid":{"rendered":"https:\/\/1ow.top\/index.php\/2026\/03\/12\/%e7%9c%9f%c2%b7%e5%85%bb%e8%99%be%ef%bc%813%e6%ad%a5%e8%ae%a9%e9%be%99%e8%99%be%e8%be%b9%e8%81%8a%e8%be%b9%e8%bf%9b%e5%8c%96%ef%bc%8c%e4%b8%8d%e7%94%a8gpu%e4%b8%8d%e7%94%a8%e6%95%b0%e6%8d%ae%e9%9b%86\/"},"modified":"2026-03-12T15:00:11","modified_gmt":"2026-03-12T07:00:11","slug":"%e7%9c%9f%c2%b7%e5%85%bb%e8%99%be%ef%bc%813%e6%ad%a5%e8%ae%a9%e9%be%99%e8%99%be%e8%be%b9%e8%81%8a%e8%be%b9%e8%bf%9b%e5%8c%96%ef%bc%8c%e4%b8%8d%e7%94%a8gpu%e4%b8%8d%e7%94%a8%e6%95%b0%e6%8d%ae%e9%9b%86","status":"publish","type":"post","link":"https:\/\/1ow.top\/index.php\/2026\/03\/12\/%e7%9c%9f%c2%b7%e5%85%bb%e8%99%be%ef%bc%813%e6%ad%a5%e8%ae%a9%e9%be%99%e8%99%be%e8%be%b9%e8%81%8a%e8%be%b9%e8%bf%9b%e5%8c%96%ef%bc%8c%e4%b8%8d%e7%94%a8gpu%e4%b8%8d%e7%94%a8%e6%95%b0%e6%8d%ae%e9%9b%86\/","title":{"rendered":"\u771f\u00b7\u517b\u867e\uff013\u6b65\u8ba9\u9f99\u867e\u8fb9\u804a\u8fb9\u8fdb\u5316\uff0c\u4e0d\u7528GPU\u4e0d\u7528\u6570\u636e\u96c6\u5c31\u80fd\u5f3a\u5316\u5b66\u4e60"},"content":{"rendered":"
\"\u771f\u00b7\u517b\u867e\uff013\u6b65\u8ba9\u9f99\u867e\u8fb9\u804a\u8fb9\u8fdb\u5316\uff0c\u4e0d\u7528GPU\u4e0d\u7528\u6570\u636e\u96c6\u5c31\u80fd\u5f3a\u5316\u5b66\u4e60\"\/<\/div><\/figure>\n
\"\u771f\u00b7\u517b\u867e\uff013\u6b65\u8ba9\u9f99\u867e\u8fb9\u804a\u8fb9\u8fdb\u5316\uff0c\u4e0d\u7528GPU\u4e0d\u7528\u6570\u636e\u96c6\u5c31\u80fd\u5f3a\u5316\u5b66\u4e60\"\/<\/div><\/figure>\n
\"\u771f\u00b7\u517b\u867e\uff013\u6b65\u8ba9\u9f99\u867e\u8fb9\u804a\u8fb9\u8fdb\u5316\uff0c\u4e0d\u7528GPU\u4e0d\u7528\u6570\u636e\u96c6\u5c31\u80fd\u5f3a\u5316\u5b66\u4e60\"\/<\/div><\/figure>\n
\"\u771f\u00b7\u517b\u867e\uff013\u6b65\u8ba9\u9f99\u867e\u8fb9\u804a\u8fb9\u8fdb\u5316\uff0c\u4e0d\u7528GPU\u4e0d\u7528\u6570\u636e\u96c6\u5c31\u80fd\u5f3a\u5316\u5b66\u4e60\"\/<\/div><\/figure>\n

\u95fb\u4e50 \u53d1\u81ea \u51f9\u975e\u5bfa<\/p>\n

\u8ba9OpenClaw\u5e2e\u5e72\u6d3b\u8fd8\u4e0d\u591f\uff0c\u73b0\u5728\uff0c\u7a0b\u5e8f\u5458\u4eec\u6b63\u60f3\u65b9\u8bbe\u6cd5\u8ba9\u9f99\u867e\u81ea\u5df1\u53d8\u5f3a\u3002<\/p>\n

\u6ce8\u610f\u6ce8\u610f\uff01\u8fd8\u4e0d\u662f\u67d0\u4e2a\u4efb\u52a1\u4e0a\u7684\u5355\u70b9\u63d0\u5347\uff0c\u8fd9\u6b21\u6709\u4eba\u76f4\u63a5\u7ed9\u6574\u4e2a\u667a\u80fd\u4f53\u5957\u4e00\u5c42\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60\u7cfb\u7edfMetaClaw\u2014\u2014<\/p>\n

\u4e0d\u7528\u81ea\u5df1\u7ef4\u62a4GPU\u96c6\u7fa4\u3001\u4e0d\u7528\u6570\u636e\u96c6\u4e5f\u65e0\u9700\u4eba\u5de5\u5fae\u8c03\uff0c\u8ba9AI\u8ddf\u4f60\u804a\u7740\u804a\u7740\u5c31\u80fd\u81ea\u5df1\u53d8\u806a\u660e\u3002<\/p>\n

\u8fd9\u79cd\u65b0\u7684\u5b66\u4e60\u6a21\u5f0f\u5c31\u662f\u628a\u7528\u6237\u548cAI\u7684\u65e5\u5e38\u5bf9\u8bdd\u76f4\u63a5\u53d8\u6210\u8bad\u7ec3\u6570\u636e\uff0c\u6574\u4e2a\u5b66\u4e60\u5faa\u73af\u5168\u5728\u540e\u53f0\u5b8c\u6210\uff0c\u4e5f\u4e0d\u803d\u8bef\u6b63\u5e38\u4f7f\u7528\u3002<\/p>\n

\u54b1\u5e73\u65f6\u8ddfAI\u8be5\u804a\u5565\u804a\u5565\uff0cMetaClaw\u4f1a\u9ed8\u9ed8\u62e6\u622aOpenClaw\u7684\u4ea4\u4e92\u8fc7\u7a0b\uff0c\u7ed9\u6bcf\u4e00\u8f6e\u5bf9\u8bdd\u6253\u5206\uff0c\u518d\u901a\u8fc7\u5728\u7ebf\u5fae\u8c03\u4f18\u5316AI\u7684\u51b3\u7b56\u7b56\u7565\u3002<\/p>\n

\u800c\u4e14\u5b83\u8fd8\u5403\u4e00\u5811\u957f\u4e00\u667a\uff0c\u8981\u662fAI\u54ea\u53e5\u8bdd\u7ffb\u8f66\u4e86\uff0cMetaClaw\u4f1a\u81ea\u52a8\u6252\u5b8c\u6574\u7684\u4ea4\u4e92\u8f68\u8ff9\uff0c\u5206\u6790\u95ee\u9898\u51fa\u5728\u54ea\uff0c\u7136\u540e\u81ea\u52a8\u751f\u6210\u4e00\u4e2a\u65b0\u6280\u80fd\u5b58\u8fdb\u6280\u80fd\u5e93\u3002<\/p>\n

\u4e0b\u6b21\u518d\u9047\u5230\u7c7b\u4f3c\u7684\u5751\uff0c\u76f8\u5173\u6280\u80fd\u4f1a\u88ab\u7cbe\u51c6\u641c\u7d22\u51fa\u6765\u6ce8\u5165\u7cfb\u7edf\u63d0\u793a\uff0c\u540c\u6b3e\u9519\u8bef\u76f4\u63a5\u62dc\u62dc\u3002<\/p>\n

\u6a21\u578b\u5e95\u5ea7\u57fa\u4e8eKimi-2.5\u6784\u5efa\uff0c\u540c\u65f6\u4e5f\u51c6\u5907\u4e86Qwen3-4B\u8fd9\u4e2a\u8f7b\u91cf\u7ea7\u66ff\u4ee3\u65b9\u6848\uff0c\u4f4e\u914d\u8bbe\u5907\u4e5f\u80fd\u8dd1\u3002<\/p>\n

\u6838\u5fc3\u673a\u5236\u662f\u81ea\u7814\u7684SkillRL\u6280\u80fd\u589e\u5f3a\u5f3a\u5316\u5b66\u4e60\u6846\u67b6\uff0c\u8bf4\u767d\u4e86\u5c31\u662f\u6280\u80fd\u6ce8\u5165+\u6280\u80fd\u8fdb\u5316\u7684\u7ec4\u5408\u62f3\u3002<\/p>\n

\u800c\u6700\u5438\u5f15\u4eba\u7684\uff0c\u662f\u4e0d\u4f9d\u8d56\u672c\u5730GPU\u96c6\u7fa4\uff0c\u4e0d\u7528\u81ea\u5df1\u7ef4\u62a4\u8fd9\u4e2a\u8bbe\u5b9a\u3002<\/p>\n

MetaClaw\u628a\u6240\u6709\u8bad\u7ec3\u4efb\u52a1\u5168\u7529\u7ed9\u4e86Tinker\u4e91\u5e73\u53f0\uff0c\u8bad\u7ec3\u548c\u90e8\u7f72\u5f7b\u5e95\u5206\u5bb6\u3002<\/p>\n

\u53ea\u8981\u4f60\u7684\u8bbe\u5907\u80fd\u8fde\u4e0a\u7f51\uff0c\u5c31\u80fd\u8dd1\u901a\u6574\u4e2a\u7cfb\u7edf\uff0c\u4e0d\u7528\u64cd\u5fc3\u7b97\u529b\uff0c\u4e5f\u4e0d\u7528\u4e13\u95e8\u7684\u5de5\u7a0b\u56e2\u961f\u76ef\u7740\u7ef4\u62a4\u3002<\/p>\n

\u8fd9\u6ce2\u76f4\u63a5\u628aAI\u6301\u7eed\u5b66\u4e60\u7684\u95e8\u69db\u5e72\u5230\u4e86\u5730\u677f\u7ea7\uff0c\u666e\u901a\u4eba\u4e5f\u80fd\u517b\u51fa\u4f1a\u8fdb\u5316\u7684\u9f99\u867e\u4e86\u3002<\/p>\n

\u9664\u6b64\u4e4b\u5916\uff0cMetaClaw\u7684\u7ec6\u8282\u8bbe\u8ba1\u4e5f\u5f88\u61c2\u5f00\u53d1\u8005\u7684\u75db\u70b9\u3002<\/p>\n

\u5f02\u6b65\u67b6\u6784+\u53cc\u5b66\u4e60\u6a21\u5f0f\uff0c\u628a\u670d\u52a1\u3001\u5956\u52b1\u5efa\u6a21\u548c\u8bad\u7ec3\u5f7b\u5e95\u89e3\u8026\uff0cAI\u4e00\u8fb9\u7ed9\u7528\u6237\u5b9e\u65f6\u54cd\u5e94\uff0c\u540e\u53f0\u4e00\u8fb9\u505a\u6253\u5206\u548c\u4f18\u5316\uff0c\u201c\u5de5\u4f5c\u5b66\u4e60\u201d\u4e24\u4e0d\u803d\u8bef\u3002<\/p>\n

\u5b66\u4e60\u6a21\u5f0f\u4e5f\u7ed9\u8db3\u4e86\u9009\u62e9\uff0c\u60f3\u8f7b\u91cf\u5316\u5c31\u7528\u5f3a\u5316\u5b66\u4e60\uff0c\u4ece\u7528\u6237\u9690\u5f0f\u53cd\u9988\u91cc\u4f18\u5316\uff1b\u60f3\u6df1\u5ea6\u63d0\u5347\u5c31\u7528\u5728\u7ebf\u7b56\u7565\u84b8\u998f\uff0c\u7ed3\u5408\u9ad8\u8d28\u91cf\u6587\u672c\u53cd\u9988\u8fdb\u9636\u3002<\/p>\n

\u4e3b\u6253\u4e00\u4e2a\u4f60\u60f3\u600e\u4e48\u8bad\u5c31\u600e\u4e48\u8bad\u3002<\/p>\n

\u7528\u8d77\u6765\u8fd8\u8d3c\u7b80\u5355\uff0c\u5c313\u6b65\u3002<\/p>\n

\u7b2c\u4e00\u6b65\u5148\u5b89\u88c5\u4f9d\u8d56\uff0c\u524d\u9762\u7684\u662f\u5e38\u89c4\u670d\u52a1\u548c\u5927\u6a21\u578b\u76f8\u5173\u5e93\uff0c\u8dd1API\u3001\u53d1\u8bf7\u6c42\u3001\u63a5\u5927\u6a21\u578b\u90fd\u7528\u5f97\u4e0a\u3002<\/p>\n

\u540e\u9762\u7684tinker\u548ctinker-cookbook\u662f\u5173\u952e\uff0c\u8fd9\u662f\u4e91\u7aefLoRA\u8bad\u7ec3\u7684SDK\u3002<\/p>\n

\u2013 pip install fastapi uvicorn httpx openai transformers\u2013 pip install tinker tinker-cookbook<\/p>\n

\u7b2c\u4e8c\u6b65\u8fd0\u884c\u914d\u7f6e\u811a\u672c\u5c06OpenClaw\u7f51\u5173\u6307\u5411MetaClaw\u7684\u4ee3\u7406\uff0c\u6bd4\u8f83\u63a8\u8350\u7684\u662fKimi2.5.<\/p>\n

\u2013 bash openclaw_model_kimi.sh<\/p>\n

\u7b2c\u4e09\u6b65\u662f\u8bbe\u7f6eTinker API\u5bc6\u94a5\uff0c\u76f4\u63a5\u8dd1\u8bad\u7ec3\u811a\u672c\u3002<\/p>\n

\u2013 export TINKER_API_KEY=\u201dxxx\u201d\u2013 cd \/path\/to\/metaclaw\u2013 python examples\/run_conversation_rl.py<\/p>\n

\u641e\u5b9a\uff0c\u4e4b\u540e\u4f60\u53ea\u9700\u8981\u50cf\u5e73\u5e38\u4e00\u6837\u548cAgent\u804a\u5929\uff0cMetaClaw\u4f1a\u81ea\u52a8\u6536\u96c6\u5bf9\u8bdd\u8f6e\u6b21\u3001\u8bc4\u5206\u3001\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n

\u6bcf\u6512\u591f\u4e00\u6279\u6837\u672c\u5c31\u70ed\u66ff\u6362\u4e00\u6b21\u6743\u91cd\uff0c\u5168\u7a0b\u65e0\u9700\u4eba\u5de5\u5e72\u9884\u3002<\/p>\n

\u5982\u679c\u60f3\u542f\u7528\u6280\u80fd\u6ce8\u5165\uff0c\u53ea\u9700\u5728\u914d\u7f6e\u4e2d\u8bbe\u7f6e\uff1a<\/p>\n

\u2013 config = MetaClawConfig(use_skills=True)<\/p>\n

\u60f3\u5f00\u59cb\u6280\u80fd\u8fdb\u5316\uff0c\u53ef\u4ee5\u8bbe\u7f6e\uff08\u4ee5GPT5.2\u4e3a\u4f8b\uff09\uff1a<\/p>\n

\u2013 config = MetaClawConfig(use_skills=True,enable_skill_evolution=True,azure_openai_deployment=\u201dgpt-5.2\u201d,)<\/p>\n

\u7136\u540e\u914d\u597d\u5bc6\u94a5\uff1a<\/p>\n

\u2013 export AZURE_OPENAI_API_KEY=\u201dxxx\u201d\u2013 export AZURE_OPENAI_ENDPOINT=\u201dhttps:\/\/your-endpoint.openai.azure.com\/\u201c<\/p>\n

\u6240\u6709\u914d\u7f6e\u9879\u90fd\u96c6\u4e2d\u5728MetaClawConfig\u4e2d\uff0c\u5305\u62ec\u6a21\u578b\u9009\u62e9\u3001LoRA\u53c2\u6570\u3001\u6279\u6b21\u5927\u5c0f\u3001\u8bad\u7ec3\u6b65\u6570\u3001\u635f\u5931\u51fd\u6570\u7c7b\u578b\u7b49\uff0c\u4e00\u76ee\u4e86\u7136\u3002<\/p>\n

\u597d\u597d\u597d\uff0c\u8fd9\u4e0b\u53d8\u6210\u771f\u00b7\u517b\u867e\u4e86\uff08doge\uff09\u3002<\/p>\n

MetaClaw\u8fd9\u9879\u5de5\u4f5c\u7531\u59da\u9a85\u4fee\u9886\u5bfc\uff0c\u4ed6\u662f\u7535\u5b50\u79d1\u6280\u5927\u5b66\u6821\u53cb\uff0c\u73b0\u4efbUNC\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u7684\u52a9\u7406\u6559\u6388\uff0c\u66fe\u5728Stanford AI Lab\u505a\u535a\u58eb\u540e\uff0c\u4e13\u6ce8\u4e8eAgent\u548c\u5177\u8eabAI\u3002<\/p>\n

\u9879\u76ee\u5730\u5740\uff1ahttps:\/\/github.com\/aiming-lab\/MetaClaw<\/p>\n

\u53c2\u8003\u94fe\u63a5\uff1a[1]https:\/\/x.com\/BoWang87\/status\/2031094971630235941[2]https:\/\/x.com\/HuaxiuYaoML\/status\/2031069599651729905<\/p>\n

\u2014 \u5b8c \u2014<\/p>\n

\n

\u7248\u6743\u58f0\u660e\uff1a<\/strong><\/p>\n

\u672c\u535a\u5ba2\u90e8\u5206\u5185\u5bb9\u4e3a\u8f6c\u8f7d\u6587\u7ae0\uff0c\u65e8\u5728\u5206\u4eab\u6709\u4ef7\u503c\u7684\u4fe1\u606f\uff0c\u7248\u6743\u5f52\u539f\u4f5c\u8005\u6240\u6709\u3002<\/p>\n

\u8f6c\u8f7d\u4ec5\u4e3a\u4e2a\u4eba\u5b66\u4e60\u4e0e\u4ea4\u6d41\u76ee\u7684\uff0c\u4e0d\u5bf9\u6587\u7ae0\u89c2\u70b9\u8d1f\u8d23\uff0c\u4ea6\u4e0d\u7528\u4e8e\u4efb\u4f55\u5546\u4e1a\u7528\u9014\u3002<\/p>\n

\u5982\u6d89\u53ca\u7248\u6743\u95ee\u9898\uff0c\u8bf7\u8054\u7cfb\u672c\u4eba\u5220\u9664\u3002<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"

\u95fb\u4e50 \u53d1\u81ea \u51f9\u975e\u5bfa<\/p>\n

\u8ba9OpenClaw\u5e2e\u5e72\u6d3b\u8fd8\u4e0d\u591f\uff0c\u73b0\u5728\uff0c\u7a0b\u5e8f\u5458\u4eec\u6b63\u60f3\u65b9\u8bbe\u6cd5\u8ba9\u9f99\u867e\u81ea\u5df1\u53d8\u5f3a\u3002<\/p>\n

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