{"id":28087,"date":"2025-03-11T00:58:06","date_gmt":"2025-03-10T16:58:06","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=28087"},"modified":"2025-03-11T00:58:06","modified_gmt":"2025-03-10T16:58:06","slug":"x-r1","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/x-r1\/","title":{"rendered":"X-R1\uff1a\u5728\u666e\u901a\u8bbe\u5907\u4e2d\u4f4e\u6210\u672c\u8bad\u7ec30.5B\u6a21\u578b"},"content":{"rendered":"<p>X-R1 \u662f\u4e00\u4e2a\u7531 dhcode-cpp \u56e2\u961f\u5728 GitHub \u4e0a\u5f00\u6e90\u7684\u5f3a\u5316\u5b66\u4e60\u6846\u67b6\uff0c\u65e8\u5728\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e00\u4e2a\u4f4e\u6210\u672c\u3001\u9ad8\u6548\u7684\u5de5\u5177\uff0c\u7528\u4e8e\u8bad\u7ec3\u57fa\u4e8e\u7aef\u5230\u7aef\u5f3a\u5316\u5b66\u4e60\u7684\u6a21\u578b\u3002\u8be5\u9879\u76ee\u53d7\u5230 <a href=\"https:\/\/www.kdjingpai.com\/de\/deepseek-r1nenglixiang\/\">DeepSeek-R1<\/a> \u548c open-r1 \u7684\u542f\u53d1\uff0c\u4e13\u6ce8\u4e8e\u6784\u5efa\u4e00\u4e2a\u6613\u4e8e\u4e0a\u624b\u4e14\u8d44\u6e90\u9700\u6c42\u8f83\u4f4e\u7684\u8bad\u7ec3\u73af\u5883\u3002X-R1 \u7684\u6838\u5fc3\u4ea7\u54c1\u662f R1-Zero\uff0c\u4e00\u4e2a\u53c2\u6570\u91cf\u4e3a 0.5B \u7684\u6a21\u578b\uff0c\u53f7\u79f0\u80fd\u591f\u5728\u666e\u901a\u786c\u4ef6\u4e0a\u5b9e\u73b0\u9ad8\u6548\u8bad\u7ec3\u3002\u5b83\u652f\u6301\u591a\u79cd\u57fa\u7840\u6a21\u578b\uff080.5B\u30011.5B\u30013B\uff09\uff0c\u5e76\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u63d0\u5347\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u548c\u683c\u5f0f\u9075\u5faa\u80fd\u529b\u3002\u9879\u76ee\u4f7f\u7528 C++ \u5f00\u53d1\uff0c\u7ed3\u5408 <a href=\"https:\/\/www.kdjingpai.com\/de\/vllm\/\">vLLM<\/a> \u63a8\u7406\u5f15\u64ce\u548c <a href=\"https:\/\/www.kdjingpai.com\/de\/grpo-ruhezaishi\/\">GRPO<\/a> \u7b97\u6cd5\uff0c\u9002\u7528\u4e8e\u6570\u5b66\u63a8\u7406\u3001\u4e2d\u6587\u4efb\u52a1\u5904\u7406\u7b49\u573a\u666f\u3002\u65e0\u8bba\u662f\u4e2a\u4eba\u5f00\u53d1\u8005\u8fd8\u662f\u7814\u7a76\u4eba\u5458\uff0cX-R1 \u90fd\u63d0\u4f9b\u4e86\u4e00\u4e2a\u503c\u5f97\u5c1d\u8bd5\u7684\u5f00\u6e90\u9009\u62e9\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-28088\" title=\"X-R1\uff1a\u5728\u666e\u901a\u8bbe\u5907\u4e2d\u4f4e\u6210\u672c\u8bad\u7ec30.5B\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/a379ee75020bc09.png\" alt=\"X-R1\uff1a\u5728\u666e\u901a\u8bbe\u5907\u4e2d\u4f4e\u6210\u672c\u8bad\u7ec30.5B\u6a21\u578b-1\" width=\"670\" height=\"319\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/a379ee75020bc09.png 670w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/a379ee75020bc09-18x9.png 18w\" sizes=\"auto, (max-width: 670px) 100vw, 670px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u4f4e\u6210\u672c\u6a21\u578b\u8bad\u7ec3<\/strong>\uff1a\u652f\u6301\u5728\u666e\u901a\u786c\u4ef6\uff08\u5982 4 \u5f20 3090 GPU\uff09\u4e0a\u8bad\u7ec3 0.5B \u53c2\u6570\u7684 R1-Zero \u6a21\u578b\u3002<\/li>\n<li><strong>\u5f3a\u5316\u5b66\u4e60\u4f18\u5316<\/strong>\uff1a\u901a\u8fc7\u7aef\u5230\u7aef\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\uff0c\u63d0\u5347\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u548c\u8f93\u51fa\u683c\u5f0f\u51c6\u786e\u6027\u3002<\/li>\n<li><strong>\u591a\u6a21\u578b\u652f\u6301<\/strong>\uff1a\u517c\u5bb9 0.5B\u30011.5B\u30013B \u7b49\u591a\u79cd\u57fa\u7840\u6a21\u578b\uff0c\u7075\u6d3b\u9002\u914d\u4e0d\u540c\u4efb\u52a1\u9700\u6c42\u3002<\/li>\n<li><strong>GPU \u52a0\u901f\u91c7\u6837<\/strong>\uff1a\u96c6\u6210 vLLM \u4f5c\u4e3a\u5728\u7ebf\u63a8\u7406\u5f15\u64ce\uff0c\u5b9e\u73b0\u5feb\u901f GRPO \u6570\u636e\u91c7\u6837\u3002<\/li>\n<li><strong>\u4e2d\u6587\u6570\u5b66\u63a8\u7406<\/strong>\uff1a\u652f\u6301\u4e2d\u6587\u73af\u5883\u4e0b\u7684\u6570\u5b66\u63a8\u7406\u4efb\u52a1\uff0c\u751f\u6210\u6e05\u6670\u7684\u89e3\u7b54\u8fc7\u7a0b\u3002<\/li>\n<li><strong>\u57fa\u51c6\u6d4b\u8bd5\u8bc4\u4f30<\/strong>\uff1a\u63d0\u4f9b benchmark.py \u811a\u672c\uff0c\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u51c6\u786e\u6027\u548c\u683c\u5f0f\u8f93\u51fa\u80fd\u529b\u3002<\/li>\n<li><strong>\u5f00\u6e90\u914d\u7f6e<\/strong>\uff1a\u63d0\u4f9b\u8be6\u7ec6\u7684\u914d\u7f6e\u6587\u4ef6\uff08\u5982 zero3.yaml\uff09\uff0c\u4fbf\u4e8e\u7528\u6237\u81ea\u5b9a\u4e49\u8bad\u7ec3\u53c2\u6570\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>X-R1 \u662f\u4e00\u4e2a\u57fa\u4e8e GitHub \u7684\u5f00\u6e90\u9879\u76ee\uff0c\u7528\u6237\u9700\u8981\u4e00\u5b9a\u7684\u7f16\u7a0b\u57fa\u7840\u548c\u786c\u4ef6\u73af\u5883\u6765\u5b89\u88c5\u548c\u4f7f\u7528\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u4e0e\u4f7f\u7528\u6307\u5357\uff0c\u5e2e\u52a9\u4f60\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<h3><strong>\u5b89\u88c5\u6d41\u7a0b<\/strong><\/h3>\n<ol>\n<li><strong>\u73af\u5883\u51c6\u5907<\/strong>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u81f3\u5c11 1 \u5f20 NVIDIA GPU\uff08\u5982 3090\uff09\uff0c\u63a8\u8350 4 \u5f20\u4ee5\u83b7\u5f97\u6700\u4f73\u6027\u80fd\uff1bCPU \u652f\u6301 AVX\/AVX2 \u6307\u4ee4\u96c6\uff1b\u81f3\u5c11 16GB \u5185\u5b58\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u7cfb\u7edf<\/strong>\uff1aLinux\uff08\u5982 Ubuntu 20.04+\uff09\u3001Windows\uff08\u9700 WSL2 \u652f\u6301\uff09\u6216 macOS\u3002<\/li>\n<li><strong>\u4f9d\u8d56\u5de5\u5177<\/strong>\uff1a\u5b89\u88c5 Git\u3001Python 3.8+\u3001CUDA Toolkit\uff08\u4e0e GPU \u5339\u914d\uff0c\u5982 11.8\uff09\u3001C++ \u7f16\u8bd1\u5668\uff08\u5982 g++\uff09\u3002\n<pre><code>sudo apt update\r\nsudo apt install git python3 python3-pip build-essential\r\n<\/code><\/pre>\n<\/li>\n<li><strong>GPU \u9a71\u52a8<\/strong>\uff1a\u786e\u4fdd\u5df2\u5b89\u88c5 NVIDIA \u9a71\u52a8\u5e76\u5339\u914d CUDA \u7248\u672c\uff0c\u53ef\u901a\u8fc7\u00a0<code>nvidia-smi<\/code>\u00a0\u68c0\u67e5\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u514b\u9686\u9879\u76ee<\/strong><br \/>\n\u5728\u7ec8\u7aef\u4e2d\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u5c06 X-R1 \u4ed3\u5e93\u4e0b\u8f7d\u5230\u672c\u5730\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/dhcode-cpp\/X-R1.git\r\ncd X-R1\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\n<ul>\n<li>\u5b89\u88c5 Python \u4f9d\u8d56\uff1a\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<\/li>\n<li>\u5b89\u88c5 Accelerate\uff08\u7528\u4e8e\u5206\u5e03\u5f0f\u8bad\u7ec3\uff09\uff1a\n<pre><code>pip install accelerate\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u914d\u7f6e\u73af\u5883<\/strong>\n<ul>\n<li>\u6839\u636e GPU \u6570\u91cf\u7f16\u8f91\u914d\u7f6e\u6587\u4ef6\uff08\u5982\u00a0<code>recipes\/zero3.yaml<\/code>\uff09\uff0c\u8bbe\u7f6e\u00a0<code>num_processes<\/code>\uff08\u5982 3\uff0c\u8868\u793a 4 \u5f20 GPU \u4e2d 3 \u5f20\u7528\u4e8e\u8bad\u7ec3\uff0c1 \u5f20\u7528\u4e8e vLLM \u63a8\u7406\uff09\u3002<\/li>\n<li>\u793a\u4f8b\u914d\u7f6e\uff1a\n<pre><code>num_processes: 3\r\nper_device_train_batch_size: 1\r\nnum_generations: 3\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u68c0\u67e5\u73af\u5883\u662f\u5426\u6b63\u786e\u914d\u7f6e\uff1a<\/p>\n<pre><code>accelerate config\r\n<\/code><\/pre>\n<p>\u6839\u636e\u63d0\u793a\u9009\u62e9\u786c\u4ef6\u548c\u5206\u5e03\u5f0f\u8bbe\u7f6e\u3002<\/li>\n<\/ol>\n<h3><strong>\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c<\/strong><\/h3>\n<h4><strong>1. \u6a21\u578b\u8bad\u7ec3<\/strong><\/h4>\n<ul>\n<li><strong>\u542f\u52a8\u8bad\u7ec3<\/strong>\uff1a\u4f7f\u7528 GRPO \u7b97\u6cd5\u8bad\u7ec3 R1-Zero \u6a21\u578b\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a\n<pre><code>ACCELERATE_LOG_LEVEL=info accelerate launch \\\r\n--config_file recipes\/zero3.yaml \\\r\n--num_processes=3 \\\r\nsrc\/x_r1\/grpo.py \\\r\n--config recipes\/X_R1_zero_0dot5B_config.yaml \\\r\n&gt; .\/output\/x_r1_0dot5B_sampling.log 2&gt;&amp;1\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u529f\u80fd\u8bf4\u660e<\/strong>\uff1a\u6b64\u547d\u4ee4\u542f\u52a8 0.5B \u6a21\u578b\u7684\u8bad\u7ec3\uff0c\u65e5\u5fd7\u4fdd\u5b58\u5728\u00a0<code>output<\/code>\u00a0\u6587\u4ef6\u5939\u4e2d\u3002\u8bad\u7ec3\u8fc7\u7a0b\u4f1a\u5229\u7528\u5f3a\u5316\u5b66\u4e60\u4f18\u5316\u6a21\u578b\u63a8\u7406\u80fd\u529b\u3002<\/li>\n<li><strong>\u6ce8\u610f\u4e8b\u9879<\/strong>\uff1a\u786e\u4fdd\u5168\u5c40\u6279\u6b21\u5927\u5c0f\uff08<code>num_processes * per_device_train_batch_size<\/code>\uff09\u80fd\u88ab\u00a0<code>num_generations<\/code>\u00a0\u6574\u9664\uff0c\u5426\u5219\u4f1a\u62a5\u9519\u3002<\/li>\n<\/ul>\n<h4><strong>2. \u4e2d\u6587\u6570\u5b66\u63a8\u7406<\/strong><\/h4>\n<ul>\n<li><strong>\u914d\u7f6e\u6570\u5b66\u4efb\u52a1<\/strong>\uff1a\u4f7f\u7528\u4e13\u4e3a\u4e2d\u6587\u8bbe\u8ba1\u7684\u914d\u7f6e\u6587\u4ef6\uff1a\n<pre><code>ACCELERATE_LOG_LEVEL=info accelerate launch \\\r\n--config_file recipes\/zero3.yaml \\\r\n--num_processes=3 \\\r\nsrc\/x_r1\/grpo.py \\\r\n--config recipes\/examples\/mathcn_zero_3B_config.yaml \\\r\n&gt; .\/output\/mathcn_3B_sampling.log 2&gt;&amp;1\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u64cd\u4f5c\u6d41\u7a0b<\/strong>\uff1a\n<ol>\n<li>\u51c6\u5907\u4e2d\u6587\u6570\u5b66\u95ee\u9898\u6570\u636e\u96c6\uff08\u5982 JSON \u683c\u5f0f\uff09\u3002<\/li>\n<li>\u4fee\u6539\u914d\u7f6e\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u96c6\u8def\u5f84\u3002<\/li>\n<li>\u8fd0\u884c\u4e0a\u8ff0\u547d\u4ee4\uff0c\u6a21\u578b\u5c06\u751f\u6210\u63a8\u7406\u8fc7\u7a0b\u5e76\u8f93\u51fa\u5230\u65e5\u5fd7\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u7279\u8272\u529f\u80fd<\/strong>\uff1a\u652f\u6301\u751f\u6210\u8be6\u7ec6\u7684\u4e2d\u6587\u89e3\u7b54\u6b65\u9aa4\uff0c\u9002\u5408\u6559\u80b2\u573a\u666f\u3002<\/li>\n<\/ul>\n<h4><strong>3. \u57fa\u51c6\u6d4b\u8bd5<\/strong><\/h4>\n<ul>\n<li><strong>\u8fd0\u884c\u8bc4\u4f30<\/strong>\uff1a\u4f7f\u7528\u00a0<code>benchmark.py<\/code>\u00a0\u6d4b\u8bd5\u6a21\u578b\u6027\u80fd\uff1a\n<pre><code>CUDA_VISIBLE_DEVICES=0,1 python .\/src\/x_r1\/benchmark.py \\\r\n--model_name='xiaodongguaAIGC\/X-R1-0.5B' \\\r\n--dataset_name='HuggingFaceH4\/MATH-500' \\\r\n--output_name='.\/output\/result_benchmark_math500' \\\r\n--max_output_tokens=1024 \\\r\n--num_gpus=2\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u7ed3\u679c\u89e3\u8bfb<\/strong>\uff1a\u811a\u672c\u4f1a\u8f93\u51fa\u51c6\u786e\u6027\uff08accuracy-metric\uff09\u548c\u683c\u5f0f\u5f97\u5206\uff08format-metric\uff09\uff0c\u7ed3\u679c\u4fdd\u5b58\u4e3a JSON \u6587\u4ef6\u3002<\/li>\n<li><strong>\u4f7f\u7528\u573a\u666f<\/strong>\uff1a\u9a8c\u8bc1\u6a21\u578b\u5728\u6570\u5b66\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\uff0c\u4f18\u5316\u8bad\u7ec3\u53c2\u6570\u3002<\/li>\n<\/ul>\n<h3><strong>\u64cd\u4f5c\u6280\u5de7<\/strong><\/h3>\n<ul>\n<li><strong>\u65e5\u5fd7\u67e5\u770b<\/strong>\uff1a\u8bad\u7ec3\u6216\u6d4b\u8bd5\u5b8c\u6210\u540e\uff0c\u67e5\u770b\u65e5\u5fd7\u6587\u4ef6\uff08\u5982\u00a0<code>x_r1_0dot5B_sampling.log<\/code>\uff09\u4ee5\u8c03\u8bd5\u95ee\u9898\u3002<\/li>\n<li><strong>\u591a GPU \u4f18\u5316<\/strong>\uff1a\u82e5\u6709\u66f4\u591a GPU\uff0c\u53ef\u8c03\u6574\u00a0<code>num_processes<\/code>\u00a0\u548c\u00a0<code>num_gpus<\/code>\u00a0\u53c2\u6570\uff0c\u63d0\u5347\u5e76\u884c\u6548\u7387\u3002<\/li>\n<li><strong>\u9519\u8bef\u6392\u67e5<\/strong>\uff1a\u82e5\u9047\u5230\u6279\u6b21\u5927\u5c0f\u9519\u8bef\uff0c\u8c03\u6574\u00a0<code>per_device_train_batch_size<\/code>\u00a0\u548c\u00a0<code>num_generations<\/code>\u00a0\u4f7f\u4e4b\u5339\u914d\u3002<\/li>\n<\/ul>\n<h3><strong>\u4f7f\u7528\u5efa\u8bae<\/strong><\/h3>\n<ul>\n<li>\u521d\u6b21\u4f7f\u7528\u65f6\uff0c\u5efa\u8bae\u4ece\u5c0f\u89c4\u6a21\u6a21\u578b\uff08\u5982 0.5B\uff09\u5f00\u59cb\uff0c\u719f\u6089\u6d41\u7a0b\u540e\u518d\u6269\u5c55\u5230 3B \u6a21\u578b\u3002<\/li>\n<li>\u5b9a\u671f\u68c0\u67e5 GitHub 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