{"id":26469,"date":"2025-02-23T12:55:36","date_gmt":"2025-02-23T04:55:36","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=26469"},"modified":"2025-02-23T12:55:36","modified_gmt":"2025-02-23T04:55:36","slug":"open-reasoner-zero","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/open-reasoner-zero\/","title":{"rendered":"Open-Reasoner-Zero\uff1a\u5f00\u6e90\u5927\u89c4\u6a21\u63a8\u7406\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u5e73\u53f0"},"content":{"rendered":"<p>Open-Reasoner-Zero \u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u7814\u7a76\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u7531 GitHub \u4e0a\u7684 Open-Reasoner-Zero \u56e2\u961f\u5f00\u53d1\u3002\u5b83\u65e8\u5728\u901a\u8fc7\u63d0\u4f9b\u9ad8\u6548\u3001\u53ef\u6269\u5c55\u4e14\u6613\u7528\u7684\u8bad\u7ec3\u6846\u67b6\uff0c\u52a0\u901f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u7814\u7a76\u8fdb\u7a0b\uff0c\u7279\u522b\u662f\u5411\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff08AGI\uff09\u7684\u63a2\u7d22\u3002\u8be5\u9879\u76ee\u57fa\u4e8e Qwen2.5 \u6a21\u578b\uff087B \u548c 32B \u53c2\u6570\u7248\u672c\uff09\uff0c\u7ed3\u5408 OpenRLHF\u3001vLLM\u3001DeepSpeed \u548c Ray \u7b49\u6280\u672f\uff0c\u63d0\u4f9b\u5b8c\u6574\u7684\u6e90\u4ee3\u7801\u3001\u8bad\u7ec3\u6570\u636e\u548c\u6a21\u578b\u6743\u91cd\u3002\u5b83\u7684\u663e\u8457\u7279\u70b9\u662f\u7528\u4e0d\u5230 DeepSeek-R1-Zero 1\/30 \u7684\u8bad\u7ec3\u6b65\u9aa4\uff0c\u5c31\u8fbe\u5230\u4e86\u76f8\u4f3c\u7684\u6027\u80fd\u6c34\u5e73\uff0c\u5c55\u73b0\u4e86\u5176\u5728\u8d44\u6e90\u5229\u7528\u4e0a\u7684\u9ad8\u6548\u6027\u3002\u9879\u76ee\u91c7\u7528 MIT \u8bb8\u53ef\u8bc1\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u7531\u4f7f\u7528\u548c\u4fee\u6539\uff0c\u975e\u5e38\u9002\u5408\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u53c2\u4e0e\u534f\u4f5c\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-26470\" title=\"Open-Reasoner-Zero\uff1a\u5f00\u6e90\u5927\u89c4\u6a21\u63a8\u7406\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u5e73\u53f0-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/39233515b38a3d1.png\" alt=\"Open-Reasoner-Zero\uff1a\u5f00\u6e90\u5927\u89c4\u6a21\u63a8\u7406\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u5e73\u53f0-1\" width=\"850\" height=\"404\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/39233515b38a3d1.png 850w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/39233515b38a3d1-768x365.png 768w\" sizes=\"auto, (max-width: 850px) 100vw, 850px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u9ad8\u6548\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3<\/strong>\uff1a\u652f\u6301\u5728\u5355\u63a7\u5236\u5668\u4e0a\u5b9e\u73b0\u8bad\u7ec3\u548c\u751f\u6210\uff0c\u6700\u5927\u5316 GPU \u5229\u7528\u7387\u3002<\/li>\n<li><strong>\u5b8c\u6574\u5f00\u6e90\u8d44\u6e90<\/strong>\uff1a\u63d0\u4f9b 57k \u6761\u9ad8\u8d28\u91cf\u8bad\u7ec3\u6570\u636e\u3001\u6e90\u4ee3\u7801\u3001\u53c2\u6570\u8bbe\u7f6e\u548c\u6a21\u578b\u6743\u91cd\u3002<\/li>\n<li><strong>\u9ad8\u6027\u80fd\u6a21\u578b\u652f\u6301<\/strong>\uff1a\u57fa\u4e8e Qwen2.5-7B \u548c Qwen2.5-32B\uff0c\u63d0\u4f9b\u4f18\u5f02\u7684\u63a8\u7406\u6027\u80fd\u3002<\/li>\n<li><strong>\u7075\u6d3b\u7684\u7814\u7a76\u6846\u67b6<\/strong>\uff1a\u91c7\u7528\u6a21\u5757\u5316\u8bbe\u8ba1\uff0c\u4fbf\u4e8e\u7814\u7a76\u4eba\u5458\u8c03\u6574\u548c\u6269\u5c55\u5b9e\u9a8c\u3002<\/li>\n<li><strong>Docker \u652f\u6301<\/strong>\uff1a\u63d0\u4f9b Dockerfile\uff0c\u786e\u4fdd\u8bad\u7ec3\u73af\u5883\u7684\u53ef\u590d\u5236\u6027\u3002<\/li>\n<li><strong>\u6027\u80fd\u8bc4\u4f30\u5de5\u5177<\/strong>\uff1a\u5305\u542b\u57fa\u51c6\u6d4b\u8bd5\u6570\u636e\u548c\u8bc4\u4f30\u7ed3\u679c\u5c55\u793a\uff0c\u5982 GPQA Diamond \u7684\u6027\u80fd\u5bf9\u6bd4\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>Open-Reasoner-Zero \u7684\u4f7f\u7528\u9700\u8981\u4e00\u5b9a\u7684\u6280\u672f\u57fa\u7840\uff0c\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u548c\u64cd\u4f5c\u6307\u5357\uff0c\u9002\u5408\u5728 Linux \u6216\u7c7b Unix \u7cfb\u7edf\u4e0a\u8fd0\u884c\u3002<\/p>\n<h4>\u73af\u5883\u51c6\u5907<\/h4>\n<ol>\n<li><strong>\u5b89\u88c5\u57fa\u7840\u4f9d\u8d56<\/strong>\uff1a\n<ul>\n<li>\u786e\u4fdd\u7cfb\u7edf\u5df2\u5b89\u88c5 Git\u3001Python 3.8+ \u548c NVIDIA GPU \u9a71\u52a8\uff08\u9700\u652f\u6301 CUDA\uff09\u3002<\/li>\n<li>\u5b89\u88c5 Docker\uff08\u63a8\u8350\u7248\u672c 20.10 \u6216\u66f4\u9ad8\uff09\uff0c\u7528\u4e8e\u5feb\u901f\u90e8\u7f72\u8bad\u7ec3\u73af\u5883\u3002<\/li>\n<\/ul>\n<pre><code>sudo apt update\r\nsudo apt install git python3-pip docker.io<\/code><\/pre>\n<\/li>\n<\/ol>\n<ol start=\"2\">\n<li><strong>\u514b\u9686\u9879\u76ee\u4ed3\u5e93<\/strong>\uff1a\n<ul>\n<li>\u5728\u7ec8\u7aef\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u5c06\u9879\u76ee\u4e0b\u8f7d\u5230\u672c\u5730\uff1a<\/li>\n<\/ul>\n<pre><code>git clone https:\/\/github.com\/Open-Reasoner-Zero\/Open-Reasoner-Zero.git\r\ncd Open-Reasoner-Zero\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4f7f\u7528 Docker \u914d\u7f6e\u73af\u5883<\/strong>\uff1a\n<ul>\n<li>\u9879\u76ee\u63d0\u4f9b\u4e86\u4e00\u4e2a Dockerfile\uff0c\u65b9\u4fbf\u6784\u5efa\u8bad\u7ec3\u73af\u5883\u3002<\/li>\n<li>\u5728\u9879\u76ee\u6839\u76ee\u5f55\u4e0b\u8fd0\u884c\uff1a<\/li>\n<\/ul>\n<pre><code>docker build -t open-reasoner-zero -f docker\/Dockerfile .\r\n<\/code><\/pre>\n<ul>\n<li>\u6784\u5efa\u5b8c\u6210\u540e\uff0c\u542f\u52a8\u5bb9\u5668\uff1a<\/li>\n<\/ul>\n<pre><code>docker run -it --gpus all open-reasoner-zero bash\r\n<\/code><\/pre>\n<ul>\n<li>\u8fd9\u5c06\u8fdb\u5165\u4e00\u4e2a\u5e26\u6709 GPU \u652f\u6301\u7684\u5bb9\u5668\u73af\u5883\uff0c\u9884\u88c5\u4e86\u5fc5\u8981\u7684\u4f9d\u8d56\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u624b\u52a8\u5b89\u88c5\u4f9d\u8d56\uff08\u53ef\u9009\uff09<\/strong>\uff1a\n<ul>\n<li>\u5982\u679c\u4e0d\u4f7f\u7528 Docker\uff0c\u53ef\u4ee5\u624b\u52a8\u5b89\u88c5\u4f9d\u8d56\uff1a<\/li>\n<\/ul>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<ul>\n<li>\u786e\u4fdd\u5b89\u88c5 OpenRLHF\u3001vLLM\u3001DeepSpeed \u548c Ray\uff0c\u5177\u4f53\u7248\u672c\u53c2\u8003\u9879\u76ee\u6587\u6863\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h4>\u529f\u80fd\u64cd\u4f5c\u6d41\u7a0b<\/h4>\n<h5>1. \u8bad\u7ec3\u6a21\u578b<\/h5>\n<ul>\n<li><strong>\u51c6\u5907\u8bad\u7ec3\u6570\u636e<\/strong>\uff1a\n<ul>\n<li>\u9879\u76ee\u81ea\u5e26 57k \u6761\u9ad8\u8d28\u91cf\u8bad\u7ec3\u6570\u636e\uff0c\u4f4d\u4e8e\u00a0<code>data<\/code>\u00a0\u6587\u4ef6\u5939\u4e2d\u3002<\/li>\n<li>\u5982\u679c\u9700\u8981\u81ea\u5b9a\u4e49\u6570\u636e\uff0c\u6309\u6587\u6863\u8bf4\u660e\u6574\u7406\u683c\u5f0f\u5e76\u66ff\u6362\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u542f\u52a8\u8bad\u7ec3<\/strong>\uff1a\n<ul>\n<li>\u5728\u5bb9\u5668\u6216\u672c\u5730\u73af\u5883\u4e2d\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/li>\n<\/ul>\n<pre><code>python train.py --model Qwen2.5-7B --data-path .\/data\r\n<\/code><\/pre>\n<ul>\n<li>\u53c2\u6570\u8bf4\u660e\uff1a\n<ul>\n<li><code>--model<\/code>\uff1a\u9009\u62e9\u6a21\u578b\uff08\u5982 Qwen2.5-7B \u6216 Qwen2.5-32B\uff09\u3002<\/li>\n<li><code>--data-path<\/code>\uff1a\u6307\u5b9a\u8bad\u7ec3\u6570\u636e\u8def\u5f84\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8bad\u7ec3\u65e5\u5fd7\u4f1a\u663e\u793a\u5728\u4e3b\u8282\u70b9\u7ec8\u7aef\u4e0a\uff0c\u65b9\u4fbf\u76d1\u63a7\u8fdb\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h5>2. \u6027\u80fd\u8bc4\u4f30<\/h5>\n<ul>\n<li><strong>\u8fd0\u884c\u57fa\u51c6\u6d4b\u8bd5<\/strong>\uff1a\n<ul>\n<li>\u4f7f\u7528\u63d0\u4f9b\u7684\u8bc4\u4f30\u811a\u672c\u5bf9\u6bd4\u6a21\u578b\u6027\u80fd\uff1a<\/li>\n<\/ul>\n<pre><code>python evaluate.py --model Qwen2.5-32B --benchmark gpqa_diamond\r\n<\/code><\/pre>\n<ul>\n<li>\u8f93\u51fa\u7ed3\u679c\u5c06\u663e\u793a\u6a21\u578b\u5728 GPQA Diamond \u7b49\u57fa\u51c6\u4e0a\u7684\u51c6\u786e\u7387\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u67e5\u770b\u8bc4\u4f30\u62a5\u544a<\/strong>\uff1a\n<ul>\n<li>\u9879\u76ee\u5305\u542b\u56fe\u8868\uff08\u5982 Figure 1 \u548c Figure 2\uff09\uff0c\u5c55\u793a\u6027\u80fd\u548c\u8bad\u7ec3\u65f6\u95f4\u6269\u5c55\u60c5\u51b5\uff0c\u53ef\u5728\u00a0<code>docs<\/code>\u00a0\u6587\u4ef6\u5939\u4e2d\u627e\u5230\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h5>3. \u4fee\u6539\u4e0e\u6269\u5c55<\/h5>\n<ul>\n<li><strong>\u8c03\u6574\u53c2\u6570<\/strong>\uff1a\n<ul>\n<li>\u7f16\u8f91\u00a0<code>config.yaml<\/code>\u00a0\u6587\u4ef6\uff0c\u4fee\u6539\u5b66\u4e60\u7387\u3001\u6279\u91cf\u5927\u5c0f\u7b49\u8d85\u53c2\u6570\u3002<\/li>\n<\/ul>\n<pre><code>learning_rate: 0.0001\r\nbatch_size: 16\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6dfb\u52a0\u65b0\u529f\u80fd<\/strong>\uff1a\n<ul>\n<li>\u9879\u76ee\u91c7\u7528\u6a21\u5757\u5316\u8bbe\u8ba1\uff0c\u53ef\u5728\u00a0<code>src<\/code>\u00a0\u6587\u4ef6\u5939\u4e2d\u6dfb\u52a0\u65b0\u6a21\u5757\u3002\u4f8b\u5982\uff0c\u65b0\u589e\u4e00\u4e2a\u6570\u636e\u9884\u5904\u7406\u811a\u672c\uff1a<\/li>\n<\/ul>\n<pre><code># custom_preprocess.py\r\ndef preprocess_data(input_file):\r\n# \u81ea\u5b9a\u4e49\u903b\u8f91\r\npass\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4>\u64cd\u4f5c\u6ce8\u610f\u4e8b\u9879<\/h4>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u5efa\u8bae\u4f7f\u7528\u81f3\u5c11 24GB \u663e\u5b58\u7684 GPU\uff08\u5982 NVIDIA A100\uff09\uff0c\u4ee5\u652f\u6301 Qwen2.5-32B \u7684\u8bad\u7ec3\u3002<\/li>\n<li><strong>\u65e5\u5fd7\u76d1\u63a7<\/strong>\uff1a\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u4fdd\u6301\u7ec8\u7aef\u5f00\u542f\uff0c\u968f\u65f6\u67e5\u770b\u65e5\u5fd7\u4ee5\u6392\u67e5\u95ee\u9898\u3002<\/li>\n<li><strong>\u793e\u533a\u652f\u6301<\/strong>\uff1a\u5982\u9047\u95ee\u9898\uff0c\u53ef\u901a\u8fc7 GitHub Issues \u63d0\u4ea4\uff0c\u6216\u8054\u7cfb\u56e2\u961f\u90ae\u7bb1 hanqer@stepfun.com\u3002<\/li>\n<\/ul>\n<h4>\u5b9e\u8df5\u793a\u4f8b<\/h4>\n<p>\u5047\u8bbe\u4f60\u60f3\u8bad\u7ec3\u4e00\u4e2a\u57fa\u4e8e Qwen2.5-7B \u7684\u6a21\u578b\uff1a<\/p>\n<ol>\n<li>\u8fdb\u5165 Docker \u5bb9\u5668\u3002<\/li>\n<li>\u8fd0\u884c\u00a0<code>python train.py --model Qwen2.5-7B --data-path .\/data<\/code>\u3002<\/li>\n<li>\u7b49\u5f85\u6570\u5c0f\u65f6\uff08\u89c6\u786c\u4ef6\u800c\u5b9a\uff09\uff0c\u5b8c\u6210\u540e\u8fd0\u884c\u00a0<code>python evaluate.py --model Qwen2.5-7B --benchmark gpqa_diamond<\/code>\u3002<\/li>\n<li>\u67e5\u770b\u8f93\u51fa\u7ed3\u679c\uff0c\u786e\u8ba4\u6027\u80fd\u63d0\u5347\u3002<\/li>\n<\/ol>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u7528\u6237\u53ef\u4ee5\u5feb\u901f\u4e0a\u624b Open-Reasoner-Zero\uff0c\u65e0\u8bba\u662f\u590d\u73b0\u5b9e\u9a8c\u8fd8\u662f\u5f00\u53d1\u65b0\u529f\u80fd\uff0c\u90fd\u80fd\u9ad8\u6548\u5b8c\u6210\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Open-Reasoner-Zero \u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u7814\u7a76\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u7531 GitHub \u4e0a\u7684 Open-Reasoner-Zero \u56e2\u961f\u5f00\u53d1\u3002\u5b83\u65e8\u5728\u901a\u8fc7\u63d0\u4f9b\u9ad8\u6548\u3001\u53ef\u6269\u5c55\u4e14\u6613\u7528\u7684\u8bad\u7ec3\u6846\u67b6\uff0c\u52a0\u901f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u7814\u7a76\u8fdb\u7a0b\uff0c\u7279\u522b\u662f\u5411\u901a\u7528\u4eba&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61897,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,365],"class_list":["post-26469","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-damoxingweidiao"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/26469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=26469"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/26469\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/61897"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=26469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=26469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=26469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}