{"id":39813,"date":"2025-04-01T08:02:23","date_gmt":"2025-04-01T00:02:23","guid":{"rendered":"https:\/\/17aitech.com\/?p=39813"},"modified":"2025-04-01T08:02:23","modified_gmt":"2025-04-01T00:02:23","slug":"200%e7%be%8e%e9%87%91%ef%bc%8c%e4%ba%ba%e4%ba%ba%e5%8f%af%e6%89%8b%e6%90%93qwq%ef%bc%8c%e6%b8%85%e5%8d%8e%e3%80%81%e8%9a%82%e8%9a%81%e5%bc%80%e6%ba%90%e6%9e%81%e9%80%9frl%e6%a1%86%e6%9e%b6areal-boba","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=39813","title":{"rendered":"200\u7f8e\u91d1\uff0c\u4eba\u4eba\u53ef\u624b\u6413QwQ\uff0c\u6e05\u534e\u3001\u8682\u8681\u5f00\u6e90\u6781\u901fRL\u6846\u67b6AReaL-boba"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-03-31-2\" target=\"_blank\">200\u7f8e\u91d1\uff0c\u4eba\u4eba\u53ef\u624b\u6413QwQ\uff0c\u6e05\u534e\u3001\u8682\u8681\u5f00\u6e90\u6781\u901fRL\u6846\u67b6AReaL-boba<\/a><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-c8f096f62b268374b121b619d3a5eb67.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-c8f096f62b268374b121b619d3a5eb67.png\"><\/a><\/p>\n<p>\u7531\u4e8e DeepSeek R1 \u548c OpenAI o1 \u7b49\u63a8\u7406\u6a21\u578b\uff08LRM\uff0cLarge Reasoning Model\uff09\u5e26\u6765\u4e86\u65b0\u7684 post-training scaling law\uff0c\u5f3a\u5316\u5b66\u4e60\uff08RL\uff0cReinforcement Learning\uff09\u6210\u4e3a\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u80fd\u529b\u63d0\u5347\u7684\u65b0\u5f15\u64ce\u3002\u7136\u800c\uff0c\u9488\u5bf9\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5927\u89c4\u6a21\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u95e8\u69db\u4e00\u76f4\u5f88\u9ad8\uff1a<\/p>\n<ul>\n<li>\n<p>\u6d41\u7a0b\u590d\u6742\u3001\u6d89\u53ca\u6a21\u5757\u591a\uff08\u751f\u6210\u3001\u8bad\u7ec3\u3001\u5956\u52b1\u5224\u5b9a\u7b49\uff09\uff0c\u4e3a\u5b9e\u73b0\u9ad8\u6548\u7a33\u5b9a\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u5e26\u6765\u5f88\u591a\u6311\u6218\uff1b<\/p>\n<\/li>\n<li>\n<p>R1\/o1 \u7c7b\u63a8\u7406\u6a21\u578b\u7684\u8f93\u51fa\u957f\u5ea6\u5f88\u957f\uff08\u8d85\u8fc7 10K\uff09\uff0c\u5e76\u4e14\u968f\u7740\u8bad\u7ec3\u6301\u7eed\u53d8\u5316\uff0c\u5f88\u5bb9\u6613\u9020\u6210\u663e\u5b58\u548c\u6548\u7387\u74f6\u9888\uff1b<\/p>\n<\/li>\n<li>\n<p>\u5f00\u6e90\u793e\u533a\u7f3a\u4e4f\u9ad8\u8d28\u91cf\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u6570\u636e\uff0c\u4ee5\u53ca\u5b8c\u6574\u53ef\u590d\u73b0\u7684\u8bad\u7ec3\u6d41\u7a0b\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u672c\u5468\uff0c\u8682\u8681\u6280\u672f\u7814\u7a76\u9662\u548c\u6e05\u534e\u5927\u5b66\u4ea4\u53c9\u4fe1\u606f\u9662\u5434\u7ffc\u56e2\u961f\uff0c\u8054\u5408\u53d1\u5e03\u4e86\u8bad\u7ec3\u901f\u5ea6\u6700\u5feb\u6700\u7a33\u5b9a\u7684\u5f00\u6e90\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u6846\u67b6 AReaL\uff08Ant Reasoning RL\uff09\uff0c\u5e76\u516c\u5f00\u5168\u90e8\u6570\u636e\u548c\u5b8c\u6210\u53ef\u590d\u73b0\u7684\u8bad\u7ec3\u811a\u672c\u3002\u5728\u6700\u65b0\u7684 AReaL v0.2 \u7248\u672c AReaL-boba \u4e2d\uff0c\u5176 7B \u6a21\u578b\u6570\u5b66\u63a8\u7406\u5206\u6570\u5237\u65b0\u540c\u5c3a\u5bf8\u6a21\u578b AIME \u5206\u6570\u7eaa\u5f55\uff0c\u5e76\u4e14\u4ec5\u4ec5\u4f7f\u7528 200 \u6761\u6570\u636e\u590d\u523b QwQ-32B\uff0c\u4ee5\u4e0d\u5230 200 \u7f8e\u91d1\u6210\u672c\u5b9e\u73b0\u6700\u5f3a\u63a8\u7406\u8bad\u7ec3\u6548\u679c\u3002<\/p>\n<ul>\n<li>\n<section><span data-pm-slice='2 3 [\"list\",{\"type\":\"ul\",\"style\":\"margin-right: 8px;margin-left: 8px;width: 577.42px;letter-spacing: 0.578px;\",\"class\":\"list-paddingleft-1\"},\"listitem\",{\"style\":\"color: rgb(123, 12, 0);\"},\"para\",{\"tagName\":\"section\",\"attributes\":{\"style\":\"text-align: left;line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>\u9879\u76ee\u94fe\u63a5\uff1a<span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"text-align: justify; margin-left: 8px; margin-right: 8px; line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>https:\/\/github.com\/inclusionAI\/AReaL<\/span><\/span><\/section>\n<\/li>\n<li>\n<section>HuggingFace\u6570\u636e\u6a21\u578b\u5730\u5740\uff1ahttps:\/\/huggingface.co\/collections\/inclusionAI\/areal-boba-67e9f3fa5aeb74b76dcf5f0a<\/section>\n<\/li>\n<\/ul>\n<p><strong>\u5173\u4e8e AReaL-boba<\/strong><\/p>\n<p>AReaL \u6e90\u81ea\u5f00\u6e90\u9879\u76ee<strong>\u00a0ReaLHF<\/strong>\uff0c\u65e8\u5728\u8ba9\u6bcf\u4e2a\u4eba\u90fd\u80fd\u7528\u5f3a\u5316\u5b66\u4e60\u8f7b\u677e\u8bad\u7ec3\u81ea\u5df1\u7684\u63a8\u7406\u6a21\u578b\u548c\u667a\u80fd\u4f53\u3002AReaL \u627f\u8bfa<strong>\u5b8c\u5168\u5f00\u653e\u4e0e\u53ef\u590d\u73b0<\/strong>\uff0c\u56e2\u961f\u5c06\u6301\u7eed\u53d1\u5e03\u4e0e\u8bad\u7ec3 LRM \u76f8\u5173\u7684\u6240\u6709\u4ee3\u7801\u3001\u6570\u636e\u96c6\u548c\u8bad\u7ec3\u6d41\u7a0b\u3002\u6240\u6709\u6838\u5fc3\u7ec4\u4ef6\u5168\u90e8\u5f00\u6e90\uff0c\u5f00\u53d1\u8005\u53ef\u65e0\u963b\u788d\u5730\u4f7f\u7528\u3001\u9a8c\u8bc1\u548c\u6539\u8fdb AReaL\u3002<\/p>\n<p>\u672c\u6b21\u6700\u65b0\u7248\u672c<span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"text-align: justify;margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"},\"node\",{\"tagName\":\"span\",\"attributes\":{\"style\":\"font-size: 15px;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>\u300cboba<\/span><span data-pm-slice='1 1 [\"para\",{\"tagName\":\"p\",\"attributes\":{\"style\":\"text-align: justify;margin-left: 8px;margin-right: 8px;line-height: 1.75em;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"},\"node\",{\"tagName\":\"span\",\"attributes\":{\"style\":\"font-size: 15px;\"},\"namespaceURI\":\"http:\/\/www.w3.org\/1999\/xhtml\"}]'>\u300d\u7684\u547d\u540d\u4e00\u65b9\u9762\u6e90\u81ea\u56e2\u961f\u5bf9\u73cd\u73e0\u5976\u8336\u7684\u504f\u7231\uff0c\u53e6\u4e00\u9762\u4e5f\u662f\u5e0c\u671b\u5f3a\u5316\u5b66\u4e60\u6280\u672f\u80fd\u5982\u5976\u8336\u6210\u4e3a\u5927\u4f17\u996e\u54c1\u4e00\u822c\uff0c\u6e17\u900f\u81f3 AI \u5f00\u53d1\u7684\u6bcf\u4e2a\u65e5\u5e38\u573a\u666f\uff0c\u666e\u60e0\u6574\u4e2a\u793e\u533a\u3002<\/span><\/p>\n<p><strong>AReaL-boba \u53d1\u5e03\u4eae\u70b9<\/strong><\/p>\n<p><strong>\u8bad\u7ec3\u901f\u5ea6\u6700\u5feb\u7684\u5f00\u6e90\u6846\u67b6<\/strong><\/p>\n<p>AReaL-boba \u662f<strong>\u9996\u4e2a\u5168\u9762\u62e5\u62b1 xAI \u516c\u53f8\u6240\u91c7\u7528\u7684 SGLang \u63a8\u7406\u6846\u67b6\u7684\u5f00\u6e90\u8bad\u7ec3\u7cfb\u7edf<\/strong>\uff0c\u5bf9\u6bd4\u521d\u4ee3 AReaL \u8bad\u7ec3\u5927\u5e45\u5ea6\u63d0\u5347\u8bad\u7ec3\u541e\u5410\uff1a\u901a\u8fc7\u96c6\u6210 SGLang \u6846\u67b6\u53ca\u591a\u9879\u5de5\u7a0b\u4f18\u5316\uff0cAReaL-boba \u53ef\u4ee5\u65e0\u7f1d\u9002\u914d\u5404\u79cd\u8ba1\u7b97\u8d44\u6e90\u4e0b\u7684\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\uff0c\u5b9e\u73b0\u541e\u5410\u5728 1.5B \u6a21\u578b\u5c3a\u5bf8\u4e0a\u901f\u5ea6\u63d0\u5347 35%\uff0c\u5728 7B \u6a21\u578b\u901f\u5ea6\u63d0\u5347 60%\uff0c32B \u6a21\u578b\u901f\u5ea6\u63d0\u5347 73%\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-a0e7c8d24cec470461bb2d3fa9465f2f.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-a0e7c8d24cec470461bb2d3fa9465f2f.png\"><\/a><\/section>\n<p><sup>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u56fe 1\uff1aAreaL-boba \u5bf9\u6bd4\u521d\u4ee3 AReaL \u8bad\u7ec3\u5927\u5e45\u5ea6\u63d0\u5347\u8bad\u7ec3\u541e\u5410<\/sup><\/p>\n<p><strong>\u4f7f\u7528 AReaL-boba \u5373\u53ef\u4ee5 128 \u5f20 H800 \u89c4\u6a21\u5728 1 \u5929\u5185\u8bad\u7ec3\u5b8c\u6210 SOTA 1.5B \u63a8\u7406\u6a21\u578b\uff0c\u4ee5 256 \u5f20 H800 \u89c4\u6a21\u5728 2 \u5929\u5185\u5b8c\u6210 SOTA 7B \u63a8\u7406\u6a21\u578b\u8bad\u7ec3\u3002<\/strong><\/p>\n<p>AReaL \u5e0c\u671b\u8ba9\u6574\u4e2a\u793e\u533a\u4e0d\u8bba\u5355\u673a\u5668\uff0c\u8fd8\u662f\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u8bad\u7ec3\uff0c\u90fd\u53ef\u4ee5\u8f7b\u677e\u9ad8\u6548\u7387\u9a7e\u9a6d\u5f3a\u5316\u5b66\u4e60\u3002<\/p>\n<p><strong>7B \u6a21\u578b\u6570\u5b66\u63a8\u7406\u5206\u6570\u65ad\u5d16\u9886\u5148<\/strong><\/p>\n<p>AReaL \u56e2\u961f\u4ee5 Qwen-R1-Distill-7B \u6a21\u578b\u4e3a\u57fa\u7840\u6a21\u578b\uff0c\u901a\u8fc7\u5927\u89c4\u6a21\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\uff0c\u5373\u53ef\u5728 2 \u5929\u5185\u53d6\u5f97\u9886\u57df\u6700\u4f73\u7684\u6570\u5b66\u63a8\u7406\u80fd\u529b\uff0c\u5b9e\u73b0 AIME 2024 61.9 \u5206\u3001AIME 2025 48.3 \u5206\uff0c\u5237\u65b0\u5f00\u6e90\u793e\u533a\u8bb0\u5f55\uff0c\u4e5f\u5927\u5e45\u8d85\u8d8a\u4e86 OpenAI o1-preview\u3002\u76f8\u6bd4\u57fa\u7840\u6a21\u578b\uff0cAReaL-boba \u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u8ba9\u6a21\u578b\u80fd\u529b\u5b9e\u73b0\u8dc3\u5347 \u2014\u2014 \u5728 AIME 2024 \u4e0a\u63d0\u5347 6.9 \u5206\uff0c\u5728 AIME 2025 \u63d0\u5347 8.6 \u5206 \u2014\u2014 \u518d\u6b21\u8bc1\u660e\u4e86 RL Scaling \u7684\u4ef7\u503c\u3002<\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-d2c4796c008a024b412ecf6d10058fd3.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/03\/frc-d2c4796c008a024b412ecf6d10058fd3.png\"><\/a><\/section>\n<p><sup>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u8868 1: \u540c\u7c7b\u53c2\u6570\u6a21\u578b\u7684\u4e0d\u540c\u57fa\u51c6\u6d4b\u8bd5\u5206\u6570<\/sup><\/p>\n<p>\u540c\u65f6 AReaL-boba \u4e0d\u4ec5\u5f00\u6e90\u4e86\u63a8\u7406\u6a21\u578b\uff0c\u4e5f\u5f00\u6e90\u6240\u6709\u7684\u8bad\u7ec3\u6570\u636e <strong>AReaL-boba-106k<\/strong>\uff0c\u4ee5\u53ca\u5168\u90e8\u7684\u8bad\u7ec3\u811a\u672c\u548c\u8bc4\u4f30\u811a\u672c\uff0c\u786e\u4fdd\u4eba\u4eba\u53ef\u590d\u73b0\u3002\u5728<strong>\u9879\u76ee\u5b98\u65b9\u4ed3\u5e93<\/strong>\u4e0a\uff0cAReaL \u56e2\u961f\u4e5f\u653e\u51fa\u4e86\u6781\u5176\u8be6\u7ec6\u7684\u6280\u672f\u7b14\u8bb0\uff0c\u603b\u7ed3\u4e86\u5927\u91cf\u8bad\u7ec3\u4e2d\u7684\u5173\u952e\u70b9\uff0c\u5305\u62ec PPO 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