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\"9B\u7aef\u4fa7\u5f00\u6e90\u6a21\u578b\u8dd1\u901a\u767e\u4e07\u4e0a\u4e0b\u6587\uff0c\u9762\u58c1\u5168\u65b0\u7a00\u758f-\u7ebf\u6027\u6df7\u5408\u6ce8\u610f\u529b\u67b6\u6784SALA\u7acb\u529f\u4e86\uff01\"\/<\/div><\/figure>\n
\"9B\u7aef\u4fa7\u5f00\u6e90\u6a21\u578b\u8dd1\u901a\u767e\u4e07\u4e0a\u4e0b\u6587\uff0c\u9762\u58c1\u5168\u65b0\u7a00\u758f-\u7ebf\u6027\u6df7\u5408\u6ce8\u610f\u529b\u67b6\u6784SALA\u7acb\u529f\u4e86\uff01\"\/<\/div><\/figure>\n
\"9B\u7aef\u4fa7\u5f00\u6e90\u6a21\u578b\u8dd1\u901a\u767e\u4e07\u4e0a\u4e0b\u6587\uff0c\u9762\u58c1\u5168\u65b0\u7a00\u758f-\u7ebf\u6027\u6df7\u5408\u6ce8\u610f\u529b\u67b6\u6784SALA\u7acb\u529f\u4e86\uff01\"\/<\/div><\/figure>\n
\"9B\u7aef\u4fa7\u5f00\u6e90\u6a21\u578b\u8dd1\u901a\u767e\u4e07\u4e0a\u4e0b\u6587\uff0c\u9762\u58c1\u5168\u65b0\u7a00\u758f-\u7ebf\u6027\u6df7\u5408\u6ce8\u610f\u529b\u67b6\u6784SALA\u7acb\u529f\u4e86\uff01\"\/<\/div><\/figure>\n

henry \u53d1\u81ea \u51f9\u975e\u5bfa<\/p>\n

\u6700\u5f3a\u7684\u5927\u6a21\u578b\uff0c\u5df2\u7ecf\u628ascaling\u5377\u5230\u4e86\u4e00\u4e2a\u65b0\u7ef4\u5ea6\uff1a\u767e\u4e07\u7ea7\u4e0a\u4e0b\u6587\u3002<\/p>\n

\u51e0\u5929\u524d\uff0cClaude Opus 4.6\u53d1\u5e03\uff0c\u8ba9\u4eba\u7b2c\u4e00\u6b21\u771f\u5207\u611f\u53d7\u5230\u4e86\u767e\u4e07\u4e0a\u4e0b\u6587\u7684\u6d8c\u73b0\u80fd\u529b\u2014\u2014<\/p>\n

\u5355\u6b21\u5403\u8fdb50\u4e07\u5b57\u4e2d\u6587\u5185\u5bb9\u3001\u5b9e\u73b0\u8de8\u6587\u6863\u6cd5\u5f8b\u5206\u6790\u3001\u591a\u8f6eAgent\u89c4\u5212\u2026\u2026<\/p>\n

\u6b64\u60c5\u6b64\u666f\uff0c\u7528\u6237\u706b\u901f\u7528\u811a\u6295\u7968\uff0c\u534e\u5c14\u8857\u66f4\u662f\u76f4\u63a5\u7ed9\u51faK\u7ebf\u56de\u5e94\u3002<\/p>\n

\u800c\u8fd9\u80a1scaling\u7684\u98ce\uff0c\u4e5f\u5f88\u5feb\u5439\u5230\u4e86\u7aef\u4fa7\u3002<\/p>\n

\u521a\u521a\uff0c\u9762\u58c1\u667a\u80fd\u5e26\u7740\u9996\u6b21\u5927\u89c4\u6a21\u8bad\u7ec3\u7684\u7a00\u758f\u4e0e\u7ebf\u6027\u6df7\u5408\u6ce8\u610f\u529b\u6a21\u578b\uff0c\u5c0f\u5e74\u4ea4\u5377\u2014\u2014<\/p>\n

\u8fd9\u5957\u65b0\u6ce8\u610f\u529b\u67b6\u6784\uff0c\u4e0d\u4ec5\u89e3\u51b3\u4e86\u4f20\u7edfTransformer\u7684\u8ba1\u7b97\u5197\u4f59\uff0c\u8fd8\u7b2c\u4e00\u6b21\u5728\u6027\u80fd\u65e0\u635f\u7684\u524d\u63d0\u4e0b\uff0c\u8ba99B\u7aef\u4fa7\u6a21\u578b\u80fd\u591f\u57285090\u663e\u5361\u4e0a\u5904\u7406\u767e\u4e07\u957f\u6587\u672c\u3002<\/p>\n

\u4e0e\u6b64\u540c\u65f6\uff0c\u57fa\u4e8eSALA\u6ce8\u610f\u529b\u67b6\u6784\u7684\u6a21\u578bMiniCPM-SALA\u4e5f\u5c06\u4e00\u5e76\u5f00\u6e90\u3002<\/p>\n

\u9664\u6b64\u4e4b\u5916\uff0c\u9762\u58c1\u8fd8\u4ee5OpenBMB\u793e\u533a\u540d\u4e49\uff0c\u8054\u5408SGLang\u4e0eNVIDIA\u53d1\u8d772026\u7a00\u758f\u7b97\u5b50\u52a0\u901f\u5927\u5956\u8d5b\uff08SOAR\uff09\uff0c\u5c06\u8fd9\u5957scaling\u80fd\u529b\u76f4\u63a5\u4ea4\u5230\u5f00\u53d1\u8005\u624b\u4e2d\uff0c\u63a8\u52a8\u7aef\u4fa7Agent\u90e8\u7f72\u7684\u6027\u80fd\u7a81\u7834\u3002<\/p>\n

\u592a\u957f\u4e0d\u770b\uff0c\u54b1\u76f4\u63a5\u8bf4\u91cd\u70b9\u2014\u2014<\/p>\n

\u9762\u58c1\u8fd9\u6b21\u5168\u65b0\u7684\u7ebf\u6027\u4e0e\u7a00\u758f\u6ce8\u610f\u529b\u6df7\u5408\u67b6\u6784SALA\uff08Sparse Attention-Linear Attention\uff0cSALA\uff09\uff0c\u7a76\u7adf\u662f\u600e\u4e48\u4e2a\u6df7\u5408\u6cd5\u5462\uff1f<\/p>\n

\u7b80\u5355\u6765\u8bf4\uff0c\u8fd9\u5957\u67b6\u6784\u5c0675%\u7ebf\u6027\u6ce8\u610f\u529b\uff08Lightning Attention\uff09\u4e0e25%\u7a00\u758f\u6ce8\u610f\u529b\uff08InfLLM v2\uff09\u7ed3\u5408\uff0c\u5e76\u901a\u8fc7\u6df7\u5408\u4f4d\u7f6e\u7f16\u7801HyPE\uff08Hybrid Position Encoding\uff09\u5b9e\u73b0\u4e24\u8005\u7684\u9ad8\u6548\u534f\u540c\u4e0e\u8d85\u5f3a\u7684\u957f\u5ea6\u5916\u63a8\u3002<\/p>\n

\u5728\u7ebf\u6027\u6ce8\u610f\u529b\u6a21\u5757\uff0cLinear-Sparse\u9009\u7528Lightning Attention\u4f5c\u4e3a\u6838\u5fc3\u7b97\u5b50\uff0c\u8d1f\u8d23\u5feb\u901f\u3001\u7a33\u5b9a\u5730\u5efa\u6a21\u957f\u6587\u672c\u7684\u5168\u5c40\u4fe1\u606f\u3002<\/p>\n

Lightning Attention\u7684\u8ba1\u7b97\u65b9\u5f0f\u4e0e\u4f20\u7edf\u5168\u6ce8\u610f\u529b\u63a5\u8fd1\uff0c\u65b9\u4fbf\u73b0\u6709\u5168\u6ce8\u610f\u529b\u6a21\u578b\u76f4\u63a5\u8fc1\u79fb\u5230\u6df7\u5408\u67b6\u6784\uff0c\u65e0\u9700\u4ece\u96f6\u5f00\u59cb\u9884\u8bad\u7ec3\u3002<\/p>\n

\u540c\u65f6\uff0c\u501f\u52a9QK-normalization\u548c\u8f93\u51fa\u95e8\u63a7\u673a\u5236\uff0c\u4f7f\u7ebf\u6027\u5c42\u5728\u767e\u4e07\u7ea7\u4e0a\u4e0b\u6587\u8bad\u7ec3\u4e0b\u4fdd\u6301\u6570\u503c\u7a33\u5b9a\uff0c\u907f\u514d\u68af\u5ea6\u7206\u70b8\u6216\u4e0b\u6ea2\u3002<\/p>\n

\u5728\u7a00\u758f\u6ce8\u610f\u529b\u6a21\u5757\uff0cLinear-Sparse\u91c7\u7528InfLLMv2\u6765\u7cbe\u51c6\u6355\u6349\u957f\u5e8f\u5217\u4e2d\u7684\u5173\u952e\u5c40\u90e8\u4fe1\u606f\u3002<\/p>\n

InfLLM v2\u53ef\u6309\u9700\u9009\u62e9\u5173\u952eKV\uff0c\u8ba9\u6bcf\u4e2aQuery\u53ea\u8ba1\u7b97\u5fc5\u8981\u90e8\u5206\uff0c\u4ece\u800c\u5927\u5e45\u63d0\u9ad8\u957f\u6587\u672c\u5904\u7406\u6548\u7387\u3002<\/p>\n

\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cInfLLM v2\u8fd8\u80fd\u5728\u957f\u6587\u672c\u4e2d\u81ea\u52a8\u542f\u7528\u7a00\u758f\u6a21\u5f0f\uff0c\u5728\u6807\u51c6\u957f\u5ea6\u4e0b\u56de\u9000\u4e3a\u7a20\u5bc6\u8ba1\u7b97\uff0c\u5b9e\u73b0\u957f\u77ed\u6587\u672c\u7684\u65e0\u7f1d\u5207\u6362\u3002<\/p>\n

\u6700\u540e\uff0c\u6df7\u5408\u4f4d\u7f6e\u7f16\u7801HyPE\uff08Hybrid Position Encoding)\u7684\u5f15\u5165\uff0c\u5219\u4fdd\u8bc1\u4e86\u7ebf\u6027\u548c\u7a00\u758f\u4e24\u79cd\u6ce8\u610f\u529b\u673a\u5236\u7684\u5145\u5206\u534f\u540c\u3002<\/p>\n

\u4e00\u65b9\u9762\uff0c\u7ebf\u6027\u5c42\u4fdd\u7559RoPE\u4ee5\u7ef4\u6301\u4e0e\u539f\u5168\u6ce8\u610f\u529b\u6a21\u578b\u5728\u53c2\u6570\u5206\u5e03\u548c\u7279\u5f81\u7a7a\u95f4\u4e0a\u7684\u4e00\u81f4\u6027\uff0c\u4fdd\u8bc1\u4e2d\u77ed\u6587\u672c\u6027\u80fd\u7a33\u5065\u3002<\/p>\n

\u53e6\u4e00\u65b9\u9762\uff0c\u7a00\u758f\u5c42\u91c7\u7528NoPE\uff08\u65e0\u4f4d\u7f6e\u7f16\u7801\uff09\uff0c\u8ba9KV-Cache\u4e0e\u4f4d\u7f6e\u4fe1\u606f\u89e3\u8026\uff0c\u89c4\u907f\u957f\u8ddd\u79bb\u8870\u51cf\u95ee\u9898\uff0c\u4f7f\u6a21\u578b\u5728\u767e\u4e07\u957f\u5ea6\u4e0a\u4e0b\u6587\u4e2d\u4ecd\u80fd\u9ad8\u6548\u68c0\u7d22\u6781\u8fdc\u4fe1\u606f\u3002<\/p>\n

\u8bad\u7ec3\u4e0a\uff0cMiniCPM-SALA\u91c7\u7528Transformer-to-Hybrid\u4f4e\u6210\u672c\u6784\u5efa\u65b9\u6cd5\uff08HALO\uff09\u3002<\/p>\n

\u5177\u4f53\u800c\u8a00\uff0c\u6a21\u578b\u901a\u8fc7HALO\u65b9\u6cd5\u5c0675%\u7684\u5168\u6ce8\u610f\u529b\u5c42\u8f6c\u6362\u4e3a\u7ebf\u6027\u6ce8\u610f\u529b\u5c42\uff0c\u6574\u4e2a\u8fc7\u7a0b\u5305\u62ec\u53c2\u6570\u8f6c\u6362\u3001\u9690\u72b6\u6001\u5bf9\u9f50\u3001\u5c42\u9009\u62e9\u4ee5\u53ca\u77e5\u8bc6\u84b8\u998f\u56db\u4e2a\u6b65\u9aa4\u3002<\/p>\n

\u6700\u7ec8\uff0c\u8fd9\u5957Linear-Sparse\u8bbe\u8ba1\u8ba9MiniCPM-SALA\u5728\u7aef\u4fa7\u5904\u7406\u8d85\u957f\u6587\u672c\u65f6\uff0c\u4e0d\u4ec5\u663e\u5b58\u5360\u7528\u6781\u4f4e\u3001\u8ba1\u7b97\u9ad8\u6548\uff0c\u800c\u4e14\u8bed\u4e49\u7cbe\u5ea6\u4f9d\u7136\u4fdd\u6301\u9886\u5148\u6c34\u5e73\u3002<\/p>\n

\u8981\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\uff0c\u5f97\u5148\u56de\u5230\u4f20\u7edf\u7684Full Attention\u3002<\/p>\n

\u5728\u7ecf\u5178Transformer\u91cc\uff0c\u6bcf\u751f\u6210\u4e00\u4e2a\u65b0token\uff0c\u90fd\u8981\u548c\u4e4b\u524d\u6240\u6709token\u505a\u4e24\u4e24\u8ba1\u7b97\uff0c\u5176\u8ba1\u7b97\u590d\u6742\u5ea6\u662f\u5178\u578b\u7684O(N\u00b2)\u3002<\/p>\n

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\u968f\u7740\u4e0a\u4e0b\u6587\u957f\u5ea6\u589e\u52a0\uff0cKV Cache\u8fc5\u901f\u81a8\u80c0\uff0c\u5f88\u5feb\u5c31\u4f1a\u7206\u663e\u5b58\u3002<\/p>\n

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\u7b2c\u4e00\u7c7b\u662f\u7ebf\u6027\u6ce8\u610f\u529b\uff0c\u901a\u5e38\u4e3a\u7ebf\u6027\u548c\u5168\u6ce8\u610f\u529b\u7ed3\u5408\u7684\u6df7\u5408\u8bbe\u8ba1\u3002<\/p>\n

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\u7b2c\u4e8c\u7c7b\u662f\u539f\u751f\u7a00\u758f\u6ce8\u610f\u529b\u3002<\/p>\n

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