{"id":98958,"date":"2026-09-01T18:56:49","date_gmt":"2026-09-01T10:56:49","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/98958.html"},"modified":"2026-09-01T18:56:49","modified_gmt":"2026-09-01T10:56:49","slug":"autodl-%e7%a7%9f%e5%8d%a1-llama-factory-27b-qlora-%e8%ae%ad%e7%bb%83%e5%85%a8%e6%b5%81%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/98958.html","title":{"rendered":"AutoDL \u79df\u5361 + LLaMA-Factory 27B QLoRA \u8bad\u7ec3\u5168\u6d41\u7a0b"},"content":{"rendered":"<h3>1. \u5f15\u8a00<\/h3>\n<p>\u5927\u6a21\u578b\u5fae\u8c03\u662f\u5f53\u4e0b AI \u5de5\u7a0b\u5b9e\u8df5\u4e2d\u7684\u9ad8\u9891\u9700\u6c42&#xff0c;\u4f46\u52a8\u8f84\u51e0\u5341 GB \u7684\u6a21\u578b\u6743\u91cd\u3001\u6602\u8d35\u7684\u663e\u5361\u6210\u672c&#xff0c;\u5e38\u5e38\u8ba9\u4e2a\u4eba\u5f00\u53d1\u8005\u671b\u800c\u5374\u6b65\u3002\u672c\u6587\u4ee5 AutoDL \u4e91 GPU \u79df\u5361 &#043; LLaMA-Factory \u6846\u67b6 &#043; 27B \u6a21\u578b QLoRA \u5fae\u8c03 \u4e3a\u4e3b\u7ebf&#xff0c;\u5e26\u4f60\u4ece\u96f6\u8dd1\u901a\u4e00\u6761\u5b8c\u6574\u3001\u53ef\u590d\u73b0\u7684\u8bad\u7ec3\u94fe\u8def\u3002<\/p>\n<p>\u8bfb\u5b8c\u672c\u6587\u4f60\u5c06\u638c\u63e1&#xff1a;<\/p>\n<ul>\n<li>\u5982\u4f55\u5728 AutoDL \u4e0a\u5feb\u901f\u79df\u5230\u5408\u9002\u7684 GPU \u5b9e\u4f8b\u5e76\u5b8c\u6210\u73af\u5883\u521d\u59cb\u5316&#xff1b;<\/li>\n<li>\u5982\u4f55\u5b89\u88c5\u4e0e\u914d\u7f6e LLaMA-Factory \u53ca\u5176\u4f9d\u8d56&#xff1b;<\/li>\n<li>\u5982\u4f55\u51c6\u5907\u6570\u636e\u96c6\u5e76\u7f16\u5199 27B \u6a21\u578b\u7684 QLoRA \u8bad\u7ec3\u914d\u7f6e&#xff1b;<\/li>\n<li>\u5982\u4f55\u542f\u52a8\u8bad\u7ec3\u3001\u76d1\u63a7\u6307\u6807&#xff0c;\u5e76\u5728\u8bad\u7ec3\u5b8c\u6210\u540e\u5bfc\u51fa\u4e0e\u63a8\u7406\u9a8c\u8bc1\u3002<\/li>\n<\/ul>\n<h3>2. \u65b9\u6848\u9009\u578b\u4e0e\u524d\u7f6e\u51c6\u5907<\/h3>\n<h4>2.1 \u4e3a\u4ec0\u4e48\u9009\u62e9 QLoRA<\/h4>\n<p>QLoRA&#xff08;Quantized Low-Rank Adaptation&#xff09;\u5728 LoRA \u7684\u57fa\u7840\u4e0a\u8fdb\u4e00\u6b65\u5f15\u5165 4-bit \u91cf\u5316&#xff0c;\u5c06\u57fa\u5ea7\u6a21\u578b\u7684\u663e\u5b58\u5360\u7528\u5927\u5e45\u538b\u7f29\u3002\u5bf9\u4e8e 27B \u91cf\u7ea7\u7684\u6a21\u578b&#xff0c;\u5168\u53c2\u6570\u5fae\u8c03\u9700\u8981\u591a\u5f20 80GB \u663e\u5361&#xff0c;\u800c QLoRA \u901a\u5e38\u53ea\u9700 1 \u5f20 24GB \u6216 48GB \u663e\u5b58\u7684\u663e\u5361 \u5373\u53ef\u542f\u52a8\u8bad\u7ec3&#xff0c;\u6027\u4ef7\u6bd4\u6781\u9ad8\u3002<\/p>\n<h4>2.2 AutoDL \u79df\u5361\u8981\u70b9<\/h4>\n<p>AutoDL \u63d0\u4f9b\u6309\u5c0f\u65f6\u8ba1\u8d39\u7684 GPU \u5b9e\u4f8b&#xff0c;\u9002\u5408\u77ed\u671f\u8bad\u7ec3\u4efb\u52a1\u3002\u79df\u5361\u65f6\u6ce8\u610f\u4ee5\u4e0b\u51e0\u70b9&#xff1a;<\/p>\n<ul>\n<li>\u663e\u5361\u9009\u62e9&#xff1a;27B \u6a21\u578b QLoRA \u63a8\u8350 RTX 4090&#xff08;24GB&#xff09;\u6216 A100&#xff08;40GB\/80GB&#xff09;\u3002\u82e5\u8ffd\u6c42\u66f4\u9ad8\u541e\u5410&#xff0c;\u53ef\u9009\u591a\u5361\u5b9e\u4f8b\u3002<\/li>\n<li>\u955c\u50cf\u9009\u62e9&#xff1a;\u4f18\u5148\u9009\u62e9\u9884\u88c5 PyTorch 2.x &#043; CUDA 12.x \u7684\u5b98\u65b9\u955c\u50cf&#xff0c;\u53ef\u7701\u53bb\u5927\u91cf\u73af\u5883\u914d\u7f6e\u65f6\u95f4\u3002<\/li>\n<li>\u6570\u636e\u76d8&#xff1a;\u6a21\u578b\u6743\u91cd\u4e0e\u6570\u636e\u96c6\u4f53\u79ef\u8f83\u5927&#xff0c;\u5efa\u8bae\u6302\u8f7d\u8db3\u591f\u5bb9\u91cf\u7684\u6570\u636e\u76d8&#xff0c;\u5e76\u5c06\u6570\u636e\u5b58\u653e\u4e8e \/root\/autodl-tmp \u7b49\u6301\u4e45\u5316\u76ee\u5f55\u3002<\/li>\n<\/ul>\n<p>\u4e0b\u8868\u7ed9\u51fa 27B \u6a21\u578b QLoRA \u5fae\u8c03\u5728\u4e0d\u540c\u663e\u5361\u914d\u7f6e\u4e0b\u7684\u53c2\u8003\u6570\u636e&#xff08;\u4ee5 4-bit \u91cf\u5316\u3001lora_rank&#061;64\u3001cutoff_len&#061;2048 \u4e3a\u57fa\u51c6&#xff0c;\u5b9e\u9645\u6570\u503c\u4f1a\u56e0\u6a21\u578b\u67b6\u6784\u3001\u6570\u636e\u96c6\u957f\u5ea6\u4e0e\u6846\u67b6\u7248\u672c\u7565\u6709\u6d6e\u52a8&#xff09;&#xff1a;<\/p>\n<table>\n<tr>\u663e\u5361\u914d\u7f6e\u663e\u5b58batch sizecutoff_len\u9884\u8ba1\u663e\u5b58\u5360\u7528\u8bad\u7ec3\u901f\u5ea6\u53c2\u8003<\/tr>\n<tbody>\n<tr>\n<td>RTX 4090<\/td>\n<td>24GB<\/td>\n<td>1<\/td>\n<td>2048<\/td>\n<td>\u7ea6 18\u201322GB<\/td>\n<td>\u7ea6 1.5\u20132.5 \u5206\u949f\/\u767e\u6b65<\/td>\n<\/tr>\n<tr>\n<td>A100 40GB<\/td>\n<td>40GB<\/td>\n<td>2<\/td>\n<td>2048<\/td>\n<td>\u7ea6 28\u201334GB<\/td>\n<td>\u7ea6 1\u20131.5 \u5206\u949f\/\u767e\u6b65<\/td>\n<\/tr>\n<tr>\n<td>A100 80GB<\/td>\n<td>80GB<\/td>\n<td>4<\/td>\n<td>4096<\/td>\n<td>\u7ea6 45\u201360GB<\/td>\n<td>\u7ea6 0.6\u20131 \u5206\u949f\/\u767e\u6b65<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8bf4\u660e&#xff1a;RTX 4090 \u6027\u4ef7\u6bd4\u6700\u9ad8&#xff0c;\u9002\u5408\u9884\u7b97\u6709\u9650\u7684\u4e2a\u4eba\u5f00\u53d1\u8005&#xff1b;A100 40GB \u53ef\u9002\u5f53\u589e\u5927 batch size \u63d0\u5347\u541e\u5410&#xff1b;A100 80GB \u652f\u6301\u66f4\u957f\u5e8f\u5217&#xff08;\u5982 cutoff_len&#061;4096&#xff09;\u4e0e\u66f4\u5927 batch&#xff0c;\u9002\u5408\u8ffd\u6c42\u8bad\u7ec3\u901f\u5ea6\u6216\u5904\u7406\u957f\u6587\u672c\u7684\u573a\u666f\u3002<\/p>\n<h4>2.3 \u73af\u5883\u521d\u59cb\u5316<\/h4>\n<p>\u79df\u5230\u5b9e\u4f8b\u540e&#xff0c;\u5148\u505a\u57fa\u7840\u68c0\u67e5&#xff1a;<\/p>\n<p><span class=\"token comment\"># \u67e5\u770b GPU \u72b6\u6001<\/span><br \/>\nnvidia-smi<\/p>\n<p><span class=\"token comment\"># \u67e5\u770b Python \u7248\u672c<\/span><br \/>\npython <span class=\"token parameter variable\">&#8211;version<\/span><\/p>\n<p><span class=\"token comment\"># \u67e5\u770b CUDA \u7248\u672c<\/span><br \/>\nnvcc <span class=\"token parameter variable\">&#8211;version<\/span><\/p>\n<p>\u786e\u8ba4\u73af\u5883\u65e0\u8bef\u540e&#xff0c;\u5b89\u88c5\u5fc5\u8981\u7684\u7cfb\u7edf\u4f9d\u8d56&#xff1a;<\/p>\n<p><span class=\"token function\">apt-get<\/span> update<br \/>\n<span class=\"token function\">apt-get<\/span> <span class=\"token function\">install<\/span> <span class=\"token parameter variable\">-y<\/span> <span class=\"token function\">git<\/span> git-lfs<\/p>\n<h3>3. \u5b89\u88c5 LLaMA-Factory<\/h3>\n<p>LLaMA-Factory \u662f\u4e00\u4e2a\u5f00\u6e90\u7684 LLM \u5fae\u8c03\u6846\u67b6&#xff0c;\u652f\u6301 LoRA\u3001QLoRA\u3001\u5168\u53c2\u6570\u5fae\u8c03\u7b49\u591a\u79cd\u65b9\u5f0f&#xff0c;\u5e76\u63d0\u4f9b\u4e86\u7edf\u4e00\u7684\u547d\u4ee4\u884c\u4e0e Web UI \u63a5\u53e3\u3002<\/p>\n<h4>3.1 \u514b\u9686\u9879\u76ee\u5e76\u5b89\u88c5\u4f9d\u8d56<\/h4>\n<p><span class=\"token builtin class-name\">cd<\/span> \/root\/autodl-tmp<br \/>\n<span class=\"token function\">git<\/span> clone https:\/\/github.com\/hiyouga\/LLaMA-Factory.git<br \/>\n<span class=\"token builtin class-name\">cd<\/span> LLaMA-Factory<br \/>\npip <span class=\"token function\">install<\/span> <span class=\"token parameter variable\">-e<\/span> .<span class=\"token punctuation\">[<\/span>torch,bitsandbytes<span class=\"token punctuation\">]<\/span><\/p>\n<p>\u63d0\u793a&#xff1a;bitsandbytes \u662f QLoRA 4-bit \u91cf\u5316\u7684\u6838\u5fc3\u4f9d\u8d56&#xff0c;\u52a1\u5fc5\u786e\u4fdd\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<h4>3.2 \u9a8c\u8bc1\u5b89\u88c5<\/h4>\n<p>llamafactory-cli version<\/p>\n<p>\u82e5\u8f93\u51fa\u7248\u672c\u53f7&#xff0c;\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<h3>4. \u6570\u636e\u96c6\u51c6\u5907<\/h3>\n<h4>4.1 \u6570\u636e\u683c\u5f0f<\/h4>\n<p>LLaMA-Factory \u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f&#xff0c;\u6700\u5e38\u7528\u7684\u662f ShareGPT \u683c\u5f0f \u4e0e Alpaca \u683c\u5f0f\u3002\u8fd9\u91cc\u4ee5 Alpaca \u683c\u5f0f\u4e3a\u4f8b&#xff1a;<\/p>\n<p><span class=\"token punctuation\">[<\/span><br \/>\n  <span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token string-property property\">&#034;instruction&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;\u8bf7\u89e3\u91ca\u4ec0\u4e48\u662f\u91cf\u5b50\u8ba1\u7b97\u3002&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;input&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;output&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;\u91cf\u5b50\u8ba1\u7b97\u662f\u4e00\u79cd\u5229\u7528\u91cf\u5b50\u529b\u5b66\u539f\u7406\u8fdb\u884c\u8ba1\u7b97\u7684\u6280\u672f\u2026\u2026&#034;<\/span><br \/>\n  <span class=\"token punctuation\">}<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<h4>4.2 \u4e0a\u4f20\u6570\u636e<\/h4>\n<p>\u5c06\u6570\u636e\u96c6\u6587\u4ef6\u4e0a\u4f20\u81f3\u5b9e\u4f8b\u540e&#xff0c;\u653e\u5165 LLaMA-Factory \u7684 data \u76ee\u5f55&#xff1a;<\/p>\n<p><span class=\"token builtin class-name\">cd<\/span> \/root\/autodl-tmp\/LLaMA-Factory<br \/>\n<span class=\"token function\">mkdir<\/span> <span class=\"token parameter variable\">-p<\/span> data<br \/>\n<span class=\"token comment\"># \u5c06\u4f60\u7684\u6570\u636e\u96c6\u6587\u4ef6\u4e0a\u4f20\u5230 data\/ \u76ee\u5f55&#xff0c;\u4f8b\u5982 my_dataset.json<\/span><\/p>\n<p>\u7136\u540e\u5728 data\/dataset_info.json \u4e2d\u6ce8\u518c\u8be5\u6570\u636e\u96c6&#xff1a;<\/p>\n<p><span class=\"token punctuation\">{<\/span><br \/>\n  <span class=\"token string-property property\">&#034;my_dataset&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token string-property property\">&#034;file_name&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;my_dataset.json&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;formatting&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;alpaca&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;columns&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n      <span class=\"token string-property property\">&#034;prompt&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;instruction&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n      <span class=\"token string-property property\">&#034;query&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;input&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n      <span class=\"token string-property property\">&#034;response&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;output&#034;<\/span><br \/>\n    <span class=\"token punctuation\">}<\/span><br \/>\n  <span class=\"token punctuation\">}<\/span><br \/>\n<span class=\"token punctuation\">}<\/span><\/p>\n<h3>5. \u7f16\u5199 QLoRA \u8bad\u7ec3\u914d\u7f6e<\/h3>\n<p>LLaMA-Factory \u652f\u6301\u901a\u8fc7 YAML \u914d\u7f6e\u6587\u4ef6\u542f\u52a8\u8bad\u7ec3\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u9488\u5bf9 27B \u6a21\u578b\u7684 QLoRA \u914d\u7f6e\u793a\u4f8b&#xff1a;<\/p>\n<h4>5.1 \u4e0b\u8f7d 27B \u57fa\u5ea7\u6a21\u578b<\/h4>\n<p>\u8bad\u7ec3\u524d\u9700\u8981\u5148\u51c6\u5907\u597d 27B \u57fa\u5ea7\u6a21\u578b\u3002\u63a8\u8350\u4ece ModelScope&#xff08;\u9b54\u642d&#xff09; \u6216 HuggingFace \u4e0b\u8f7d&#xff0c;\u56fd\u5185\u7f51\u7edc\u73af\u5883\u4e0b ModelScope \u901a\u5e38\u66f4\u5feb\u3002\u4ee5\u4e0b\u4e24\u79cd\u65b9\u5f0f\u4efb\u9009\u5176\u4e00&#xff1a;<\/p>\n<p>\u65b9\u5f0f\u4e00&#xff1a;\u4f7f\u7528 ModelScope \u4e0b\u8f7d<\/p>\n<p><span class=\"token comment\"># \u5b89\u88c5 modelscope&#xff08;\u82e5\u672a\u5b89\u88c5&#xff09;<\/span><br \/>\npip <span class=\"token function\">install<\/span> modelscope<\/p>\n<p><span class=\"token comment\"># \u4e0b\u8f7d\u6a21\u578b\u5230 \/root\/autodl-tmp\/models\/ \u76ee\u5f55<\/span><br \/>\nmodelscope download <span class=\"token parameter variable\">&#8211;model<\/span> Qwen\/Qwen2.5-27B-Instruct <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;local_dir<\/span> \/root\/autodl-tmp\/models\/Qwen2.5-27B-Instruct<\/p>\n<p>\u65b9\u5f0f\u4e8c&#xff1a;\u4f7f\u7528 HuggingFace \u4e0b\u8f7d<\/p>\n<p><span class=\"token comment\"># \u5b89\u88c5 huggingface_hub&#xff08;\u82e5\u672a\u5b89\u88c5&#xff09;<\/span><br \/>\npip <span class=\"token function\">install<\/span> huggingface_hub<\/p>\n<p><span class=\"token comment\"># \u4e0b\u8f7d\u6a21\u578b\u5230 \/root\/autodl-tmp\/models\/ \u76ee\u5f55<\/span><br \/>\nhuggingface-cli download Qwen\/Qwen2.5-27B-Instruct <span class=\"token punctuation\">\\\\<\/span><br \/>\n  &#8211;local-dir \/root\/autodl-tmp\/models\/Qwen2.5-27B-Instruct<\/p>\n<p>\u63d0\u793a&#xff1a;\u8bf7\u5c06\u4e0a\u8ff0\u547d\u4ee4\u4e2d\u7684\u6a21\u578b\u540d\u66ff\u6362\u4e3a\u4f60\u5b9e\u9645\u4f7f\u7528\u7684 27B \u6a21\u578b&#xff08;\u5982 Qwen2.5-27B\u3001Yi-1.5-27B \u7b49&#xff09;\u3002\u4e0b\u8f7d\u5b8c\u6210\u540e&#xff0c;\u6a21\u578b\u6743\u91cd\u4f1a\u4fdd\u5b58\u5728 \/root\/autodl-tmp\/models\/ \u76ee\u5f55\u4e0b&#xff0c;\u4e0e\u4e0b\u65b9 YAML \u914d\u7f6e\u4e2d\u7684 model_name_or_path \u8def\u5f84\u4fdd\u6301\u4e00\u81f4\u3002<\/p>\n<p><span class=\"token comment\"># qlora_27b.yaml<\/span><br \/>\n<span class=\"token key atrule\">model_name_or_path<\/span><span class=\"token punctuation\">:<\/span> \/root\/autodl<span class=\"token punctuation\">&#8211;<\/span>tmp\/models\/your<span class=\"token punctuation\">&#8211;<\/span>27b<span class=\"token punctuation\">&#8211;<\/span>model<br \/>\n<span class=\"token key atrule\">template<\/span><span class=\"token punctuation\">:<\/span> alpaca<br \/>\n<span class=\"token key atrule\">stage<\/span><span class=\"token punctuation\">:<\/span> sft<br \/>\n<span class=\"token key atrule\">finetuning_type<\/span><span class=\"token punctuation\">:<\/span> lora<br \/>\n<span class=\"token key atrule\">lora_rank<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">64<\/span><br \/>\n<span class=\"token key atrule\">lora_alpha<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">128<\/span><br \/>\n<span class=\"token key atrule\">lora_target<\/span><span class=\"token punctuation\">:<\/span> all<br \/>\n<span class=\"token key atrule\">quantization_bit<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">4<\/span><\/p>\n<p><span class=\"token key atrule\">dataset<\/span><span class=\"token punctuation\">:<\/span> my_dataset<br \/>\n<span class=\"token key atrule\">cutoff_len<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">2048<\/span><br \/>\n<span class=\"token key atrule\">preprocessing_num_workers<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">16<\/span><\/p>\n<p><span class=\"token key atrule\">per_device_train_batch_size<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">1<\/span><br \/>\n<span class=\"token key atrule\">gradient_accumulation_steps<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">8<\/span><br \/>\n<span class=\"token key atrule\">learning_rate<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">1.0e-4<\/span><br \/>\n<span class=\"token key atrule\">num_train_epochs<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">3.0<\/span><br \/>\n<span class=\"token key atrule\">lr_scheduler_type<\/span><span class=\"token punctuation\">:<\/span> cosine<br \/>\n<span class=\"token key atrule\">warmup_ratio<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">0.1<\/span><\/p>\n<p><span class=\"token key atrule\">bf16<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token boolean important\">true<\/span><br \/>\n<span class=\"token key atrule\">output_dir<\/span><span class=\"token punctuation\">:<\/span> \/root\/autodl<span class=\"token punctuation\">&#8211;<\/span>tmp\/output\/qlora<span class=\"token punctuation\">&#8211;<\/span>27b<br \/>\n<span class=\"token key atrule\">logging_steps<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">10<\/span><br \/>\n<span class=\"token key atrule\">save_steps<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">500<\/span><br \/>\n<span class=\"token key atrule\">save_total_limit<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">3<\/span><\/p>\n<p>\u5173\u952e\u53c2\u6570\u8bf4\u660e&#xff1a;<\/p>\n<ul>\n<li>quantization_bit: 4&#xff1a;\u542f\u7528 4-bit \u91cf\u5316&#xff0c;\u8fd9\u662f QLoRA \u7684\u6838\u5fc3\u3002<\/li>\n<li>lora_target: all&#xff1a;\u5bf9\u6240\u6709\u7ebf\u6027\u5c42\u6ce8\u5165 LoRA \u9002\u914d\u5668&#xff0c;\u63d0\u5347\u5fae\u8c03\u6548\u679c\u3002<\/li>\n<li>per_device_train_batch_size: 1&#xff1a;27B \u6a21\u578b\u663e\u5b58\u5360\u7528\u5927&#xff0c;\u5355\u5361 batch size \u901a\u5e38\u8bbe\u4e3a 1&#xff0c;\u914d\u5408\u68af\u5ea6\u7d2f\u79ef\u5f25\u8865 batch \u5927\u5c0f\u3002<\/li>\n<\/ul>\n<h3>6. \u542f\u52a8\u8bad\u7ec3<\/h3>\n<h4>6.1 \u5355\u5361\u8bad\u7ec3<\/h4>\n<p><span class=\"token builtin class-name\">cd<\/span> \/root\/autodl-tmp\/LLaMA-Factory<br \/>\nllamafactory-cli train qlora_27b.yaml<\/p>\n<h4>6.2 \u591a\u5361\u8bad\u7ec3&#xff08;\u53ef\u9009&#xff09;<\/h4>\n<p>\u82e5\u79df\u7528\u4e86\u591a\u5361\u5b9e\u4f8b&#xff0c;\u53ef\u4f7f\u7528 DeepSpeed \u52a0\u901f&#xff1a;<\/p>\n<p>llamafactory-cli train qlora_27b.yaml <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;deepspeed<\/span> ds_z3_config.json<\/p>\n<h4>6.3 \u8bad\u7ec3\u76d1\u63a7<\/h4>\n<p>\u8bad\u7ec3\u542f\u52a8\u540e&#xff0c;\u7ec8\u7aef\u4f1a\u5b9e\u65f6\u6253\u5370 loss\u3001\u5b66\u4e60\u7387\u7b49\u6307\u6807\u3002\u5efa\u8bae\u540c\u65f6\u6253\u5f00\u53e6\u4e00\u4e2a\u7ec8\u7aef\u76d1\u63a7\u663e\u5b58\u5360\u7528&#xff1a;<\/p>\n<p><span class=\"token function\">watch<\/span> <span class=\"token parameter variable\">-n<\/span> <span class=\"token number\">1<\/span> nvidia-smi<\/p>\n<p>\u82e5\u663e\u5b58\u63a5\u8fd1\u4e0a\u9650&#xff0c;\u53ef\u9002\u5f53\u964d\u4f4e cutoff_len \u6216 per_device_train_batch_size\u3002<\/p>\n<h3>7. \u6a21\u578b\u5bfc\u51fa\u4e0e\u63a8\u7406\u9a8c\u8bc1<\/h3>\n<h4>7.1 \u5408\u5e76 LoRA \u6743\u91cd<\/h4>\n<p>\u8bad\u7ec3\u5b8c\u6210\u540e&#xff0c;LoRA \u9002\u914d\u5668\u4e0e\u57fa\u5ea7\u6a21\u578b\u662f\u5206\u79bb\u7684\u3002\u5982\u9700\u5408\u5e76\u5bfc\u51fa&#xff0c;\u6267\u884c&#xff1a;<\/p>\n<p>llamafactory-cli <span class=\"token builtin class-name\">export<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;model_name_or_path<\/span> \/root\/autodl-tmp\/models\/your-27b-model <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;adapter_name_or_path<\/span> \/root\/autodl-tmp\/output\/qlora-27b <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;template<\/span> alpaca <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;finetuning_type<\/span> lora <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;export_dir<\/span> \/root\/autodl-tmp\/output\/qlora-27b-merged <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;export_size<\/span> <span class=\"token number\">4<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;export_legacy_format<\/span> <span class=\"token boolean\">false<\/span><\/p>\n<h4>7.2 \u63a8\u7406\u9a8c\u8bc1<\/h4>\n<p>\u4f7f\u7528 LLaMA-Factory \u81ea\u5e26\u7684\u63a8\u7406\u63a5\u53e3\u5feb\u901f\u9a8c\u8bc1\u6548\u679c&#xff1a;<\/p>\n<p>llamafactory-cli chat <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;model_name_or_path<\/span> \/root\/autodl-tmp\/output\/qlora-27b-merged <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;template<\/span> alpaca<\/p>\n<p>\u8f93\u5165\u6d4b\u8bd5\u95ee\u9898&#xff0c;\u89c2\u5bdf\u6a21\u578b\u8f93\u51fa\u662f\u5426\u7b26\u5408\u9884\u671f\u3002<\/p>\n<h3>8. \u5e38\u89c1\u95ee\u9898\u6392\u67e5<\/h3>\n<table>\n<tr>\u95ee\u9898\u73b0\u8c61\u53ef\u80fd\u539f\u56e0\u89e3\u51b3\u65b9\u6848<\/tr>\n<tbody>\n<tr>\n<td>\u663e\u5b58\u4e0d\u8db3&#xff08;OOM&#xff09;<\/td>\n<td>batch size \u8fc7\u5927\u6216\u5e8f\u5217\u8fc7\u957f<\/td>\n<td>\u8c03\u4f4e per_device_train_batch_size \u6216 cutoff_len<\/td>\n<\/tr>\n<tr>\n<td>bitsandbytes \u5b89\u88c5\u5931\u8d25<\/td>\n<td>CUDA \u7248\u672c\u4e0d\u5339\u914d<\/td>\n<td>\u786e\u8ba4 PyTorch \u4e0e CUDA \u7248\u672c&#xff0c;\u91cd\u88c5 bitsandbytes<\/td>\n<\/tr>\n<tr>\n<td>\u8bad\u7ec3 loss \u4e0d\u4e0b\u964d<\/td>\n<td>\u5b66\u4e60\u7387\u8fc7\u9ad8\u6216\u6570\u636e\u8d28\u91cf\u95ee\u9898<\/td>\n<td>\u8c03\u4f4e\u5b66\u4e60\u7387&#xff0c;\u68c0\u67e5\u6570\u636e\u96c6\u683c\u5f0f\u4e0e\u5185\u5bb9<\/td>\n<\/tr>\n<tr>\n<td>\u63a8\u7406\u65f6\u8f93\u51fa\u4e71\u7801<\/td>\n<td>\u6a21\u677f\u4e0d\u5339\u914d<\/td>\n<td>\u68c0\u67e5 template \u53c2\u6570\u662f\u5426\u4e0e\u6a21\u578b\u5bf9\u5e94<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>9. \u603b\u7ed3<\/h3>\n<p>\u672c\u6587\u4ece AutoDL \u79df\u5361\u5f00\u59cb&#xff0c;\u5b8c\u6574\u8d70\u901a\u4e86 27B \u6a21\u578b QLoRA \u5fae\u8c03\u7684\u5404\u4e2a\u73af\u8282&#xff1a;\u73af\u5883\u51c6\u5907\u3001\u6846\u67b6\u5b89\u88c5\u3001\u6570\u636e\u51c6\u5907\u3001\u8bad\u7ec3\u914d\u7f6e\u3001\u542f\u52a8\u8bad\u7ec3\u3001\u6743\u91cd\u5bfc\u51fa\u4e0e\u63a8\u7406\u9a8c\u8bc1\u3002QLoRA \u4ee5\u6781\u4f4e\u7684\u663e\u5b58\u6210\u672c\u5b9e\u73b0\u4e86\u63a5\u8fd1\u5168\u53c2\u6570\u5fae\u8c03\u7684\u6548\u679c&#xff0c;\u662f\u4e2a\u4eba\u5f00\u53d1\u8005\u4e0e\u5927\u6a21\u578b\u5fae\u8c03\u4e4b\u95f4\u7684\u6700\u4f73\u6865\u6881\u3002<\/p>\n<p>\u540e\u7eed\u4f60\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5c1d\u8bd5&#xff1a;<\/p>\n<ul>\n<li>\u8c03\u6574 LoRA rank \u4e0e alpha \u89c2\u5bdf\u6548\u679c\u53d8\u5316&#xff1b;<\/li>\n<li>\u4f7f\u7528\u591a\u5361 &#043; DeepSpeed \u63d0\u5347\u8bad\u7ec3\u541e\u5410&#xff1b;<\/li>\n<li>\u63a5\u5165\u66f4\u591a\u5f00\u6e90\u6570\u636e\u96c6&#xff0c;\u6269\u5c55\u6a21\u578b\u80fd\u529b\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>1. \u5f15\u8a00<br \/>\n\u5927\u6a21\u578b\u5fae\u8c03\u662f\u5f53\u4e0b AI \u5de5\u7a0b\u5b9e\u8df5\u4e2d\u7684\u9ad8\u9891\u9700\u6c42&#xff0c;\u4f46\u52a8\u8f84\u51e0\u5341 GB \u7684\u6a21\u578b\u6743\u91cd\u3001\u6602\u8d35\u7684\u663e\u5361\u6210\u672c&#xff0c;\u5e38\u5e38\u8ba9\u4e2a\u4eba\u5f00\u53d1\u8005\u671b\u800c\u5374\u6b65\u3002\u672c\u6587\u4ee5 AutoDL \u4e91 GPU \u79df\u5361  LLaMA-Factory \u6846\u67b6  27B \u6a21\u578b QLoRA \u5fae\u8c03 \u4e3a\u4e3b\u7ebf&#xff0c;\u5e26\u4f60\u4ece\u96f6\u8dd1\u901a\u4e00\u6761\u5b8c\u6574\u3001\u53ef\u590d\u73b0\u7684\u8bad\u7ec3\u94fe\u8def\u3002<br \/>\n\u8bfb\u5b8c\u672c\u6587\u4f60\u5c06\u638c\u63e1&#xff1a;<br \/>\n\u5982\u4f55\u5728 AutoDL \u4e0a\u5feb\u901f\u79df\u5230\u5408\u9002\u7684 GPU \u5b9e\u4f8b\u5e76\u5b8c\u6210\u73af\u5883\u521d\u59cb\u5316&#xff1b;\u5982\u4f55\u5b89\u88c5\u4e0e\u914d\u7f6e LLaMA-F<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[347,50],"topic":[],"class_list":["post-98958","post","type-post","status-publish","format-standard","hentry","category-server","tag-llama","tag-50"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AutoDL \u79df\u5361 + LLaMA-Factory 27B QLoRA \u8bad\u7ec3\u5168\u6d41\u7a0b - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/98958.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AutoDL \u79df\u5361 + LLaMA-Factory 27B QLoRA \u8bad\u7ec3\u5168\u6d41\u7a0b - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"1. \u5f15\u8a00 \u5927\u6a21\u578b\u5fae\u8c03\u662f\u5f53\u4e0b AI \u5de5\u7a0b\u5b9e\u8df5\u4e2d\u7684\u9ad8\u9891\u9700\u6c42&#xff0c;\u4f46\u52a8\u8f84\u51e0\u5341 GB \u7684\u6a21\u578b\u6743\u91cd\u3001\u6602\u8d35\u7684\u663e\u5361\u6210\u672c&#xff0c;\u5e38\u5e38\u8ba9\u4e2a\u4eba\u5f00\u53d1\u8005\u671b\u800c\u5374\u6b65\u3002\u672c\u6587\u4ee5 AutoDL \u4e91 GPU \u79df\u5361 LLaMA-Factory \u6846\u67b6 27B \u6a21\u578b QLoRA \u5fae\u8c03 \u4e3a\u4e3b\u7ebf&#xff0c;\u5e26\u4f60\u4ece\u96f6\u8dd1\u901a\u4e00\u6761\u5b8c\u6574\u3001\u53ef\u590d\u73b0\u7684\u8bad\u7ec3\u94fe\u8def\u3002 \u8bfb\u5b8c\u672c\u6587\u4f60\u5c06\u638c\u63e1&#xff1a; \u5982\u4f55\u5728 AutoDL \u4e0a\u5feb\u901f\u79df\u5230\u5408\u9002\u7684 GPU \u5b9e\u4f8b\u5e76\u5b8c\u6210\u73af\u5883\u521d\u59cb\u5316&#xff1b;\u5982\u4f55\u5b89\u88c5\u4e0e\u914d\u7f6e 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