{"id":103614,"date":"2024-01-18T17:01:00","date_gmt":"2024-01-18T10:01:00","guid":{"rendered":"https:\/\/www.xinwengao.com\/cn\/pr\/20240118170100103614"},"modified":"2024-01-19T00:45:30","modified_gmt":"2024-01-18T16:45:30","slug":"%e6%ba%902-0%e5%a4%a7%e6%a8%a1%e5%9e%8b%e9%80%82%e9%85%8dllama-factory%e6%a1%86%e6%9e%b6-%e5%be%ae%e8%b0%83%e8%ae%ad%e7%bb%83%e5%bf%ab%e6%8d%b7%e9%ab%98%e6%95%88","status":"publish","type":"post","link":"https:\/\/www.xinwengao.com\/cn\/pr\/20240118170100103614","title":{"rendered":"\u6e902.0\u5927\u6a21\u578b\u9002\u914dLLaMA-Factory\u6846\u67b6  \u5fae\u8c03\u8bad\u7ec3\u5feb\u6377\u9ad8\u6548"},"content":{"rendered":"<p><p><span class=\"legendSpanClass\">\u5317\u4eac<\/span><span class=\"legendSpanClass\">2024\u5e741\u670818\u65e5<\/span> \/\u7f8e\u901a\u793e\/ &#8212; \u8fd1\u65e5\uff0c<b>\u6e90<\/b><b>2.0\u5f00\u6e90\u5927\u6a21\u578b\u4e0eLLaMA-Factory\u6846\u67b6\u5b8c\u6210\u5168\u9762\u9002\u914d<\/b>\uff0c\u7528\u6237\u901a\u8fc7LLaMA-Factory\uff0c\u5373\u53ef\u5feb\u6377\u3001\u9ad8\u6548\u5730\u5bf9\u4e0d\u540c\u53c2\u6570\u89c4\u6a21\u7684\u6e902.0\u57fa\u7840\u6a21\u578b\u8fdb\u884c\u5168\u91cf\u5fae\u8c03\u53ca\u9ad8\u6548\u5fae\u8c03\uff0c\u8f7b\u677e\u5b9e\u73b0\u4e13\u5c5e\u5927\u6a21\u578b\u3002<\/p>\n<div class=\"PRN_ImbeddedAssetReference\" id=\"DivAssetPlaceHolder7542\">\n<p><a href=\"https:\/\/mma.prnasia.com\/media2\/2321430\/PHOTO.html\" target=\"_blank\" rel=\"nofollow noopener\"><img decoding=\"async\" src=\"https:\/\/www.xinwengao.com\/cn\/wp-content\/uploads\/PHOTO-24.jpg\" title=\"\" alt=\"\" \/><\/a><br \/><span><\/span><\/p>\n<\/p><\/div>\n<p>LLM\uff08\u5927\u8bed\u8a00\u6a21\u578b\uff09\u5fae\u8c03\uff0c\u662f\u6307\u5728\u5927\u6a21\u578b\u7684\u57fa\u7840\u4e0a\uff0c\u9488\u5bf9\u7279\u5b9a\u4efb\u52a1\u6216\u9886\u57df\u8fdb\u884c\u8c03\u6574\u548c\u4f18\u5316\uff0c\u4ee5\u63d0\u5347\u6a21\u578b\u7684\u6027\u80fd\u548c\u8868\u73b0\uff0c<b>\u6709\u6548\u7684\u5fae\u8c03\u65b9\u6848\u4e0e\u5de5\u5177\u4e5f\u6b63\u662f\u89e3\u51b3\u57fa\u7840\u5927\u6a21\u578b\u843d\u5730\u79c1\u6709\u9886\u57df\u7684\u4e00\u5927\u5229\u5668<\/b>\u3002\u57fa\u4e8e\u5f00\u6e90\u5927\u6a21\u578b\u7684\u5fae\u8c03\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u63d0\u5347LLM\u5bf9\u4e8e\u6307\u4ee4\u7684\u9075\u5faa\u80fd\u529b\uff0c\u4e5f\u80fd\u901a\u8fc7\u884c\u4e1a\u77e5\u8bc6\u7684\u5f15\u5165\uff0c\u6765\u63d0\u5347LLM\u5728\u4e13\u4e1a\u9886\u57df\u7684\u77e5\u8bc6\u548c\u80fd\u529b\u3002<\/p>\n<p>\u5f53\u524d\uff0c\u4e1a\u754c\u5df2\u7ecf\u57fa\u4e8eLLM\u5f00\u53d1\u53ca\u5b9e\u8df5\u51fa\u4e86\u4f17\u591a\u7684\u5fae\u8c03\u65b9\u6cd5\uff0c\u5982\u6307\u4ee4\u5fae\u8c03\u3001\u57fa\u4e8e\u4eba\u7c7b\u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60\uff08RLHF\uff0cReinforcement Learning from Human Feedback\uff09\u3001\u76f4\u63a5\u504f\u597d\u4f18\u5316\uff08DPO\uff0cDirect Preference Optimization\uff09\u7b49\u3002\u4ee5\u9ad8\u6548\u5fae\u8c03\uff08PEFT\uff0cParameter-Efficient Fine-Tuning\uff09\u65b9\u6848\u4e3a\u4f8b\uff0c\u53ef\u6709\u6548\u89e3\u51b3\u5185\u5b58\u548c\u8ba1\u7b97\u8d44\u6e90\u7684\u5236\u7ea6\uff0c\u901a\u8fc7LoRA\u3001QLoRA\u7b49\u9ad8\u6548\u5fae\u8c03\u6280\u672f\uff0c\u5728\u5355\u5f20GPU\u4e0a\u5b8c\u6210\u5343\u4ebf\u53c2\u6570\u7684\u5fae\u8c03\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u4e00\u4e2a\u80fd\u591f\u5b9e\u73b0\u4e0a\u8ff0\u529f\u80fd\u7684\u7b80\u6d01\u3001\u9ad8\u6548\u4e14\u6613\u7528\u7684\u5fae\u8c03\u6846\u67b6\u6b63\u662f\u5f00\u5c55LLM\u5fae\u8c03\u5de5\u4f5c\u7684\u6700\u4f73\u6293\u624b\u3002<\/p>\n<p>LLaMA-Factory\u662f\u96f6\u9699\u667a\u80fd\uff08SeamLessAI\uff09\u5f00\u6e90\u7684\u4f4e\u4ee3\u7801\u5927\u6a21\u578b\u8bad\u7ec3\u6846\u67b6\uff0c\u65e8\u5728\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u53ef\u89c6\u5316\u8bad\u7ec3\u3001\u63a8\u7406\u5e73\u53f0\u53ca\u4e00\u952e\u914d\u7f6e\u6a21\u578b\u8bad\u7ec3\u3002\u57fa\u4e8eLLaMA-Factory, \u7528\u6237\u53ef\u8f7b\u677e\u9009\u62e9\u4e1a\u754c\u6700\u5168\u9762\u7684\u5fae\u8c03\u65b9\u6cd5\u548c\u4f18\u5316\u6280\u672f\uff0c\u901a\u8fc7\u4f7f\u7528\u79c1\u57df\u6570\u636e\uff0c\u6216\u662fLLaMA-Factory\u5185\u7f6e\u7684\u4e2d\u6587\u6570\u636e\u96c6\uff08GPT-4\u4f18\u5316\u540e\u7684alpaca\u4e2d\u6587\u6570\u636e\u96c6\u3001ShareGPT\u6570\u636e\u96c6\u548cllama-factory\u63d0\u4f9b\u7684\u6a21\u578b\u8ba4\u77e5\u6570\u636e\u96c6\uff09\uff0c<b>\u5bf9\u6e90<\/b><b>2.0\u8fdb\u884c\u8f7b\u677e\u5fae\u8c03\uff0c\u57fa\u4e8e\u6709\u9650\u7b97\u529b\u5b8c\u6210\u9886\u57df\u5927\u6a21\u578b\u7684\u5b9a\u5236\u5f00\u53d1<\/b>\u3002\u5b9e\u6d4b\u6570\u636e\u663e\u793a\uff0c\u5728\u4e00\u53f0\u642d\u8f7d8\u9897GPU\u7684\u4e3b\u6d41AI\u670d\u52a1\u5668NF5468M7\uff0c7\u5c0f\u65f6\u5185\u5373\u53ef\u5b9e\u73b0\u5343\u4ebf\u6a21\u578b\uff08Yuan2.0- 102B\uff09\u7684\u9ad8\u6548\u6307\u4ee4\u5fae\u8c03\uff0c10\u5206\u949f\u5373\u53ef\u5b8c\u6210Yuan2.0-2B\u53c2\u6570\u7684\u6307\u4ee4\u5fae\u8c03\uff0c\u8f7b\u677e\u5b9e\u73b0\u5373\u8c03\u5373\u7528\u3002<\/p>\n<div class=\"PRN_ImbeddedAssetReference\" id=\"DivAssetPlaceHolder7766\">\n<p><a href=\"https:\/\/mma.prnasia.com\/media2\/2321429\/image.html\" target=\"_blank\" rel=\"nofollow noopener\"><img decoding=\"async\" src=\"https:\/\/www.xinwengao.com\/cn\/wp-content\/uploads\/image-860.jpg\" title=\"\" alt=\"\" \/><\/a><br \/><span><\/span><\/p>\n<\/p><\/div>\n<p><b>Step by Step&nbsp;<\/b><\/p>\n<p><b>\u5355\u673a\u5373\u53ef\u5b9e\u73b0\u5343\u4ebf\u53c2\u6570\u6a21\u578b\u5fae\u8c03<\/b><\/p>\n<ul type=\"disc\">\n<li>Step 1: \u5bb9\u5668\u5316\u73af\u5883\u90e8\u7f72\uff0c\u6570\u6761\u6307\u4ee4\u5373\u53ef\u8f7b\u677e\u5b8c\u6210<\/li>\n<li>Step 2: \u5f00\u6e90\u53ef\u5546\u7528Yuan2.0 Huggingface\u6a21\u578b\u83b7\u53d6<\/li>\n<li>Step 3: \u4e00\u952e&quot;\u542f\u52a8&quot;web UI\u670d\u52a1<\/li>\n<li>Step 4:&nbsp;\u6784\u5efaLLM\u52a9\u624b-\u53ef\u89c6\u5316\u754c\u9762\u914d\u7f6e\u5b8c\u6210Yuan2.0\u5fae\u8c03<\/li>\n<li>Step 5:&nbsp;\u642d\u5efa\u6211\u4eec\u7684\u79c1\u6709LLM\u52a9\u624b<\/li>\n<\/ul>\n<p><b>GitHub\u9879\u76ee\u5730\u5740<\/b>\uff1a<\/p>\n<p><a href=\"https:\/\/github.com\/IEIT-Yuan\/Yuan-2.0\/blob\/main\/docs\/Yuan2_llama-factory.md\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/github.com\/IEIT-Yuan\/Yuan-2.0\/blob\/main\/docs\/Yuan2_llama-factory.md<\/a><\/p>\n<div class=\"PRN_ImbeddedAssetReference\" id=\"DivAssetPlaceHolder0\">  <\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u5317\u4eac2024\u5e741\u670818\u65e5 \/\u7f8e\u901a\u793e\/ &#8212; \u8fd1\u65e5\uff0c\u6e902.0\u5f00\u6e90\u5927\u6a21\u578b\u4e0eLLaMA-Factory\u6846\u67b6\u5b8c\u6210\u5168\u9762\u9002\u914d\uff0c\u7528\u6237\u901a\u8fc7LLaMA-Factory\uff0c\u5373\u53ef\u5feb\u6377\u3001\u9ad8\u6548\u5730\u5bf9\u4e0d\u540c\u53c2\u6570\u89c4\u6a21\u7684\u6e902.0\u57fa\u7840\u6a21\u578b\u8fdb\u884c\u5168\u91cf\u5fae\u8c03\u53ca\u9ad8\u6548\u5fae\u8c03\uff0c\u8f7b\u677e\u5b9e\u73b0\u4e13\u5c5e\u5927\u6a21\u578b\u3002 LLM\uff08\u5927\u8bed\u8a00\u6a21\u578b\uff09\u5fae\u8c03\uff0c\u662f\u6307\u5728\u5927\u6a21\u578b\u7684\u57fa\u7840\u4e0a\uff0c\u9488\u5bf9\u7279\u5b9a\u4efb\u52a1\u6216\u9886\u57df\u8fdb\u884c\u8c03\u6574\u548c\u4f18\u5316\uff0c\u4ee5\u63d0\u5347\u6a21\u578b\u7684\u6027\u80fd\u548c\u8868\u73b0\uff0c\u6709\u6548\u7684\u5fae\u8c03\u65b9\u6848\u4e0e\u5de5\u5177\u4e5f\u6b63\u662f\u89e3\u51b3\u57fa\u7840\u5927\u6a21\u578b\u843d\u5730\u79c1\u6709\u9886\u57df\u7684\u4e00\u5927\u5229\u5668\u3002\u57fa\u4e8e\u5f00\u6e90\u5927\u6a21\u578b\u7684\u5fae\u8c03\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u63d0\u5347LLM\u5bf9\u4e8e\u6307\u4ee4\u7684\u9075\u5faa\u80fd\u529b\uff0c\u4e5f\u80fd\u901a\u8fc7\u884c\u4e1a\u77e5\u8bc6\u7684\u5f15\u5165\uff0c\u6765\u63d0\u5347LLM\u5728\u4e13\u4e1a\u9886\u57df\u7684\u77e5\u8bc6\u548c\u80fd\u529b\u3002 \u5f53\u524d\uff0c\u4e1a\u754c\u5df2\u7ecf\u57fa\u4e8eLLM\u5f00\u53d1\u53ca\u5b9e\u8df5\u51fa\u4e86\u4f17\u591a\u7684\u5fae\u8c03\u65b9\u6cd5\uff0c\u5982\u6307\u4ee4\u5fae\u8c03\u3001\u57fa\u4e8e\u4eba\u7c7b\u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60\uff08RLHF\uff0cReinforcement Learning from Human Feedback\uff09\u3001\u76f4\u63a5\u504f\u597d\u4f18\u5316\uff08DPO\uff0cDirect Preference Optimization\uff09\u7b49\u3002\u4ee5\u9ad8\u6548\u5fae\u8c03\uff08PEFT\uff0cParameter-Efficient Fine-Tuning\uff09\u65b9\u6848\u4e3a\u4f8b\uff0c\u53ef\u6709\u6548\u89e3\u51b3\u5185\u5b58\u548c\u8ba1\u7b97\u8d44\u6e90\u7684\u5236\u7ea6\uff0c\u901a\u8fc7LoRA\u3001QLoRA\u7b49\u9ad8\u6548\u5fae\u8c03\u6280\u672f\uff0c\u5728\u5355\u5f20GPU\u4e0a\u5b8c\u6210\u5343\u4ebf\u53c2\u6570\u7684\u5fae\u8c03\u8bad\u7ec3\u3002\u56e0\u6b64\uff0c\u4e00\u4e2a\u80fd\u591f\u5b9e\u73b0\u4e0a\u8ff0\u529f\u80fd\u7684\u7b80\u6d01\u3001\u9ad8\u6548\u4e14\u6613\u7528\u7684\u5fae\u8c03\u6846\u67b6\u6b63\u662f\u5f00\u5c55LLM\u5fae\u8c03\u5de5\u4f5c\u7684\u6700\u4f73\u6293\u624b\u3002 LLaMA-Factory\u662f\u96f6\u9699\u667a\u80fd\uff08SeamLessAI\uff09\u5f00\u6e90\u7684\u4f4e\u4ee3\u7801\u5927\u6a21\u578b\u8bad\u7ec3\u6846\u67b6\uff0c\u65e8\u5728\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u53ef\u89c6\u5316\u8bad\u7ec3\u3001\u63a8\u7406\u5e73\u53f0\u53ca\u4e00\u952e\u914d\u7f6e\u6a21\u578b\u8bad\u7ec3\u3002\u57fa\u4e8eLLaMA-Factory, \u7528\u6237\u53ef\u8f7b\u677e\u9009\u62e9\u4e1a\u754c\u6700\u5168\u9762\u7684\u5fae\u8c03\u65b9\u6cd5\u548c\u4f18\u5316\u6280\u672f\uff0c\u901a\u8fc7\u4f7f\u7528\u79c1\u57df\u6570\u636e\uff0c\u6216\u662fLLaMA-Factory\u5185\u7f6e\u7684\u4e2d\u6587\u6570\u636e\u96c6\uff08GPT-4\u4f18\u5316\u540e\u7684alpaca\u4e2d\u6587\u6570\u636e\u96c6\u3001ShareGPT\u6570\u636e\u96c6\u548cllama-factory\u63d0\u4f9b\u7684\u6a21\u578b\u8ba4\u77e5\u6570\u636e\u96c6\uff09\uff0c\u5bf9\u6e902.0\u8fdb\u884c\u8f7b\u677e\u5fae\u8c03\uff0c\u57fa\u4e8e\u6709\u9650\u7b97\u529b\u5b8c\u6210\u9886\u57df\u5927\u6a21\u578b\u7684\u5b9a\u5236\u5f00\u53d1\u3002\u5b9e\u6d4b\u6570\u636e\u663e\u793a\uff0c\u5728\u4e00\u53f0\u642d\u8f7d8\u9897GPU\u7684\u4e3b\u6d41AI\u670d\u52a1\u5668NF5468M7\uff0c7\u5c0f\u65f6\u5185\u5373\u53ef\u5b9e\u73b0\u5343\u4ebf\u6a21\u578b\uff08Yuan2.0- 102B\uff09\u7684\u9ad8\u6548\u6307\u4ee4\u5fae\u8c03\uff0c10\u5206\u949f\u5373\u53ef\u5b8c\u6210Yuan2.0-2B\u53c2\u6570\u7684\u6307\u4ee4\u5fae\u8c03\uff0c\u8f7b\u677e\u5b9e\u73b0\u5373\u8c03\u5373\u7528\u3002 Step by Step&nbsp; \u5355\u673a\u5373\u53ef\u5b9e\u73b0\u5343\u4ebf\u53c2\u6570\u6a21\u578b\u5fae\u8c03 Step 1: \u5bb9\u5668\u5316\u73af\u5883\u90e8\u7f72\uff0c\u6570\u6761\u6307\u4ee4\u5373\u53ef\u8f7b\u677e\u5b8c\u6210 Step 2: \u5f00\u6e90\u53ef\u5546\u7528Yuan2.0 Huggingface\u6a21\u578b\u83b7\u53d6 Step 3: \u4e00\u952e&quot;\u542f\u52a8&quot;web UI\u670d\u52a1 Step 4:&nbsp;\u6784\u5efaLLM\u52a9\u624b-\u53ef\u89c6\u5316\u754c\u9762\u914d\u7f6e\u5b8c\u6210Yuan2.0\u5fae\u8c03 Step 5:&nbsp;\u642d\u5efa\u6211\u4eec\u7684\u79c1\u6709LLM\u52a9\u624b GitHub\u9879\u76ee\u5730\u5740\uff1a https:\/\/github.com\/IEIT-Yuan\/Yuan-2.0\/blob\/main\/docs\/Yuan2_llama-factory.md&hellip; <a class=\"read-more\" href=\"https:\/\/www.xinwengao.com\/cn\/pr\/20240118170100103614\">Read More<\/a><\/p>\n","protected":false},"author":556,"featured_media":103618,"comment_status":"close","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1965],"tags":[],"class_list":["post-103614","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-partnerships"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/posts\/103614","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/users\/556"}],"replies":[{"embeddable":true,"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/comments?post=103614"}],"version-history":[{"count":1,"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/posts\/103614\/revisions"}],"predecessor-version":[{"id":103617,"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/posts\/103614\/revisions\/103617"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/media\/103618"}],"wp:attachment":[{"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/media?parent=103614"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/categories?post=103614"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.xinwengao.com\/cn\/wp-json\/wp\/v2\/tags?post=103614"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}