{"id":24524,"date":"2025-02-13T12:18:13","date_gmt":"2025-02-13T04:18:13","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=24524"},"modified":"2025-02-13T12:18:13","modified_gmt":"2025-02-13T04:18:13","slug":"%e6%b2%a1%e6%9c%89%e6%95%b0%e6%8d%ae%e3%80%81%e6%b2%a1%e6%9c%89gpu%e7%9a%84%e6%83%85%e5%86%b5%e4%b8%8b%e6%80%8e%e4%b9%88%e8%ae%ad%e7%bb%83deepseek","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/02\/13\/24524\/","title":{"rendered":"\u6ca1\u6709\u6570\u636e\u3001\u6ca1\u6709GPU\u7684\u60c5\u51b5\u4e0b\u600e\u4e48\u8bad\u7ec3DeepSeek"},"content":{"rendered":"<div class=\"article-desc\">\u6625\u8282\u671f\u95f4\uff0cAI \u754c\u70ed\u95f9\u975e\u51e1\uff0c\u5230\u5904\u90fd\u662f\u5173\u4e8e DeepSeek \u7684\u62a5\u9053\u3002\u5927\u5bb6\u90fd\u77e5\u9053\uff0c\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u901a\u5e38\u9700\u8981\u6602\u8d35\u7684\u4e13\u7528 GPU\uff0c\u8fd9\u5bf9\u5f88\u591a\u60f3\u8bd5\u8bd5\u5fae\u8c03\u6280\u672f\u7684\u4eba\u6765\u8bf4\uff0c\u771f\u662f\u4e00\u9053\u95e8\u69db\u3002<\/div>\n<div id=\"postspictures\" class=\"article-content\">\n<div id=\"container\" class=\"container am-engine\" data-v-1d7a5742=\"\" data-element=\"root\">\n<p>\u6625\u8282\u671f\u95f4\uff0cAI \u754c\u70ed\u95f9\u975e\u51e1\uff0c\u5230\u5904\u90fd\u662f\u5173\u4e8e DeepSeek \u7684\u62a5\u9053\u3002\u5927\u5bb6\u90fd\u77e5\u9053\uff0c\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u901a\u5e38\u9700\u8981\u6602\u8d35\u7684\u4e13\u7528 GPU\uff0c\u8fd9\u5bf9\u5f88\u591a\u60f3\u8bd5\u8bd5\u5fae\u8c03\u6280\u672f\u7684\u4eba\u6765\u8bf4\uff0c\u771f\u662f\u4e00\u9053\u95e8\u69db\u3002<\/p>\n<p><img data-dominant-color=\"12558e\" data-has-transparency=\"false\" style=\"--dominant-color: #12558e;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-24526\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/a4b6d9b78f819971038098599d0dc671bd358b-300x167-1.jpg\" width=\"300\" height=\"167\" alt=\"\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/a4b6d9b78f819971038098599d0dc671bd358b-300x167-1.jpg 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/a4b6d9b78f819971038098599d0dc671bd358b-300x167-1-150x84.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>\u597d\u6d88\u606f\u6765\u4e86\uff1a\u4f60\u5b8c\u5168\u53ef\u4ee5\u7528\u514d\u8d39\u7684 Google Colab Notebook \u6765\u5b9e\u73b0\u5fae\u8c03\u3002\u501f\u52a9 Colab \u63d0\u4f9b\u7684\u514d\u8d39 GPU\uff0c\u4f60\u53ef\u4ee5\u628a\u901a\u7528\u7684 DeepSeek R1 \u6a21\u578b\u201c\u5b9a\u5236\u201d\u4e3a\u4e13\u95e8\u9488\u5bf9\u67d0\u4e2a\u9886\u57df\u7684\u6a21\u578b\uff0c\u8ba9\u5b83\u56de\u7b54\u95ee\u9898\u65f6\u65e2\u4e13\u4e1a\u53c8\u8d34\u5408\u5b9e\u9645\u9700\u6c42\uff0c\u800c\u4e14\u64cd\u4f5c\u7b80\u5355\u3001\u6210\u672c\u4f4e\u3002<\/p>\n<p>\u5982\u4eca\uff0c\u4e0d\u4ec5\u662f\u5f00\u53d1\u8005\uff0c\u5f88\u591a\u521b\u4e1a\u8005\u4e5f\u5728\u5173\u6ce8 DeepSeek R1 \u6a21\u578b\uff0c\u5e76\u5c1d\u8bd5\u5c06\u5b83\u96c6\u6210\u5230\u81ea\u5df1\u7684\u4ea7\u54c1\u4e2d\u3002\u901a\u8fc7\u5fae\u8c03\uff0c\u4f60\u53ef\u4ee5\u8ba9\u6a21\u578b\u7528\u66f4\u7b26\u5408\u7279\u5b9a\u9886\u57df\u7279\u70b9\u7684\u65b9\u5f0f\u56de\u7b54\u95ee\u9898\uff0c\u5145\u5206\u5229\u7528 DeepSeek \u5f3a\u5927\u7684\u63a8\u7406\u80fd\u529b\uff0c\u8ba9\u56de\u7b54\u65e2\u6e05\u6670\u53c8\u6709\u903b\u8f91\u3002<\/p>\n<p>\u63a5\u4e0b\u6765\u7ed9\u5927\u5bb6\u5982\u4f55\u5229\u7528 Google Colab Notebook (\u53ef\u53c2\u8003\u6559\u7a0b\u7533\u8bf7\u300aGoogle Colab\u514d\u8d39GPU\u4f7f\u7528\u6559\u7a0b\u300b)\u8fd9\u4e00\u514d\u8d39\u3001\u6613\u7528\u7684\u8d44\u6e90\uff0c\u901a\u8fc7 Python \u5bf9 DeepSeek-R1 \u6a21\u578b\u8fdb\u884c\u5fae\u8c03\u3002\u4f60\u4f1a\u5b66\u5230\u5982\u4f55\u7528\u4efb\u610f\u6570\u636e\u96c6\u8bad\u7ec3\u6a21\u578b\uff0c\u4f7f\u5176\u80fd\u66f4\u7cbe\u51c6\u5730\u56de\u7b54\u4e13\u4e1a\u9886\u57df\u7684\u95ee\u9898\u3002<\/p>\n<p><img data-dominant-color=\"f9f9f9\" data-has-transparency=\"false\" style=\"--dominant-color: #f9f9f9;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-24527\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/646c2bc296f172c4a7e1177ab2ec871d21fcc5.jpg\" width=\"1280\" height=\"610\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/646c2bc296f172c4a7e1177ab2ec871d21fcc5.jpg 1280w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/646c2bc296f172c4a7e1177ab2ec871d21fcc5-300x143.jpg 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/646c2bc296f172c4a7e1177ab2ec871d21fcc5-1024x488.jpg 1024w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/646c2bc296f172c4a7e1177ab2ec871d21fcc5-150x71.jpg 150w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/646c2bc296f172c4a7e1177ab2ec871d21fcc5-768x366.jpg 768w\" sizes=\"auto, (max-width: 1280px) 100vw, 1280px\" \/><\/p>\n<p>\u5728\u5f00\u59cb\u5fae\u8c03\u4e4b\u524d\uff0c\u6211\u4eec\u5148\u770b\u770b\u9700\u8981\u51c6\u5907\u54ea\u4e9b\u4e1c\u897f\u3002<\/p>\n<h4>\u9700\u8981\u5b89\u88c5\u7684 Python \u5e93<\/h4>\n<p>\u5fae\u8c03 LLM \u65f6\uff0c\u6211\u4eec\u9700\u8981\u4ee5\u4e0b\u51e0\u4e2a Python \u5e93\uff1a<\/p>\n<ul data-id=\"u738a58b-DPOoDBqb\">\n<li data-id=\"ld70c578-e9rRSgFF\"><strong>unsloth<\/strong>\uff1a\u8fd9\u4e2a\u5e93\u80fd\u8ba9\u4f60\u5fae\u8c03 Llama-3\u3001Mistral\u3001Phi-4\u3001Gemma 2x \u8fd9\u7c7b\u5927\u6a21\u578b\u65f6\u66f4\u5feb\uff0c\u5360\u7528\u5185\u5b58\u4e5f\u5c11 70%\uff0c\u800c\u4e14\u6548\u679c\u4e0d\u4f1a\u6253\u6298\u6263\u3002<\/li>\n<li data-id=\"ld70c578-fggvJHaw\"><strong>torch<\/strong>\uff1a\u8fd9\u662f PyTorch \u7684\u57fa\u7840\u5e93\u3002\u5b83\u53ef\u4ee5\u8fdb\u884c\u9ad8\u6548\u7684\u5f20\u91cf\u8fd0\u7b97\uff0c\u7c7b\u4f3c\u4e8e NumPy\uff0c\u4f46\u8fd8\u652f\u6301 GPU \u52a0\u901f\uff0c\u5bf9\u5904\u7406\u5927\u6a21\u578b\u975e\u5e38\u91cd\u8981\u3002<\/li>\n<li data-id=\"ld70c578-Q2vzZeC0\"><strong>transformers<\/strong>\uff1a\u8fd9\u662f\u4e00\u4e2a\u5f88\u6d41\u884c\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\uff0c\u91cc\u9762\u6709\u5f88\u591a\u9884\u8bad\u7ec3\u6a21\u578b\u3002\u56e0\u4e3a\u5fae\u8c03\u9700\u8981\u5728\u9884\u8bad\u7ec3\u6a21\u578b\u4e0a\u505a\u6587\u7ae0\uff0c\u8fd9\u4e2a\u5e93\u80fd\u5e2e\u4f60\u8f7b\u677e\u8c03\u7528\u5404\u79cd\u6a21\u578b\u3002<\/li>\n<li data-id=\"ld70c578-vB3XmQtF\"><strong>trl<\/strong>\uff1a\u8fd9\u4e2a\u5e93\u4e13\u95e8\u7528\u6765\u505a\u57fa\u4e8e Transformer \u7684\u5f3a\u5316\u5b66\u4e60\uff0c\u662f\u5efa\u7acb\u5728 Hugging Face \u7684 transformers \u5e93\u57fa\u7840\u4e0a\u7684\uff0c\u8ba9\u7528\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u6a21\u578b\u53d8\u5f97\u7b80\u5355\u9ad8\u6548\u3002<\/li>\n<\/ul>\n<h4>\u8ba1\u7b97\u8d44\u6e90\u8981\u6c42<\/h4>\n<p>\u5fae\u8c03\u6a21\u578b\u5176\u5b9e\u5c31\u662f\u8ba9\u6a21\u578b\u56de\u7b54\u95ee\u9898\u65f6\u66f4\u52a0\u7b26\u5408\u7279\u5b9a\u9886\u57df\u7684\u8981\u6c42\uff0c\u4e0d\u9700\u8981\u4ece\u96f6\u5f00\u59cb\u8bad\u7ec3\u6240\u6709\u53c2\u6570\u3002\u4f46\u662f\uff0c\u5927\u6a21\u578b\u5fae\u8c03\u65f6\u6240\u6709\u9700\u8981\u8bad\u7ec3\u7684\u53c2\u6570\u90fd\u8981\u52a0\u8f7d\u5230 GPU \u7684\u5185\u5b58\uff08vRAM\uff09\u91cc\uff0c\u6240\u4ee5\u5bf9\u786c\u4ef6\u8981\u6c42\u5f88\u9ad8\u3002<\/p>\n<p>\u4e3a\u4e86\u8ba9\u5927\u5bb6\u66f4\u5bb9\u6613\u4f53\u9a8c\uff0c\u6211\u4eec\u8fd9\u6b21\u9009\u7528\u7684\u6a21\u578b\u662fDeepSeek-R1-Distill\uff0847.4 \u4ebf\u53c2\u6570\uff09\u3002\u8fd9\u4e2a\u6a21\u578b\u5927\u6982\u9700\u8981 8\uff5e12GB \u7684 vRAM\u3002\u597d\u6d88\u606f\u662f\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u514d\u8d39\u7684 Google Colab \u4e0a\u7684 T4 GPU\uff0c\u5b83\u6709 16GB \u7684 vRAM\uff0c\u5b8c\u5168\u80fd\u6ee1\u8db3\u6211\u4eec\u7684\u9700\u6c42\u3002<\/p>\n<h4>\u6570\u636e\u51c6\u5907<\/h4>\n<p>\u5fae\u8c03\u6a21\u578b\u65f6\uff0c\u9700\u8981\u6709\u7ed3\u6784\u5316\u3001\u9488\u5bf9\u4efb\u52a1\u7684\u6570\u636e\u3002\u6570\u636e\u53ef\u4ee5\u6765\u81ea\u793e\u4ea4\u5a92\u4f53\u3001\u7f51\u7ad9\u3001\u4e66\u7c4d\u6216\u8005\u8bba\u6587\u7b49\u591a\u79cd\u6e20\u9053\u3002<\/p>\n<p>\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528datasets\u5e93\uff0c\u4eceHugging Face Hub\u4e0a\u4e0b\u8f7d\u6570\u636e\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u7528\u7684\u662fyahma\/alpaca-cleaned\u6570\u636e\u96c6\u3002<\/p>\n<h4>\u4ee3\u7801\u5b9e\u73b0<\/h4>\n<h4>\u5b89\u88c5\u6240\u9700\u7684\u5305<\/h4>\n<p>\u4f7f\u7528 Google Colab \u8fdb\u884c\u5fae\u8c03\u6709\u4e2a\u5f88\u5927\u7684\u597d\u5904\uff1a\u5927\u90e8\u5206\u5305\u5df2\u7ecf\u9884\u88c5\u597d\u4e86\uff0c\u6211\u4eec\u53ea\u9700\u8981\u989d\u5916\u5b89\u88c5\u4e00\u4e2a\u5305 \u2014\u2014unsloth\u3002 \u5b89\u88c5\u65b9\u6cd5\u975e\u5e38\u7b80\u5355\uff0c\u5728 Colab \u4e2d\u8fd0\u884c\u4e0b\u9762\u7684\u547d\u4ee4\u5373\u53ef\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_0\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\"><span class=\"token operator\">!<\/span>pip install unsloth<\/code><\/pre>\n<ul id=\"code_id_0\" class=\"pre-numbering\">\n<li>1.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h4>\u521d\u59cb\u5316\u6a21\u578b\u548c\u5206\u8bcd\u5668<\/h4>\n<p>\u6211\u4eec\u4f7f\u7528unsloth\u8fd9\u4e2a\u5305\u6765\u52a0\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f88\u591a\u65b9\u4fbf\u7684\u6280\u672f\uff0c\u80fd\u8ba9\u6211\u4eec\u66f4\u5feb\u5730\u4e0b\u8f7d\u548c\u5fae\u8c03\u5927\u578b\u8bed\u8a00\u6a21\u578b\u3002 \u4e0b\u9762\u8fd9\u6bb5\u4ee3\u7801\u7528\u4e8e\u52a0\u8f7d\u6a21\u578b\u548c\u5206\u8bcd\u5668\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_1\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\">from unsloth <span class=\"token keyword\">import<\/span> FastLanguageModel\r\n\r\nmodel<span class=\"token punctuation\">,<\/span> tokenizer <span class=\"token operator\">=<\/span> FastLanguageModel<span class=\"token punctuation\">.<\/span><span class=\"token function\">from_pretrained<\/span><span class=\"token punctuation\">(<\/span>\r\n    model_name <span class=\"token operator\">=<\/span> <span class=\"token string\">\"unsloth\/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit\"<\/span><span class=\"token punctuation\">,<\/span>\r\n    max_seq_length <span class=\"token operator\">=<\/span> <span class=\"token number\">2048<\/span><span class=\"token punctuation\">,<\/span>\r\n    dtype <span class=\"token operator\">=<\/span> None<span class=\"token punctuation\">,<\/span>\r\n    load_in_4bit <span class=\"token operator\">=<\/span> True<span class=\"token punctuation\">,<\/span>\r\n    # token <span class=\"token operator\">=<\/span> <span class=\"token string\">\"hf_...\"<\/span><span class=\"token punctuation\">,<\/span> # \u5982\u679c\u4f7f\u7528 gated \u6a21\u578b\uff0c\u6bd4\u5982 meta<span class=\"token operator\">-<\/span>llama<span class=\"token operator\">\/<\/span>Llama<span class=\"token operator\">-<\/span><span class=\"token number\">2<\/span><span class=\"token operator\">-<\/span>7b<span class=\"token operator\">-<\/span>hf\uff0c\u53ef\u4ee5\u4f20\u5165 token\r\n<span class=\"token punctuation\">)<\/span><\/code><\/pre>\n<ul id=\"code_id_1\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u8fd9\u91cc\u89e3\u91ca\u4e0b\u5404\u4e2a\u53c2\u6570\u7684\u610f\u4e49\uff1a<\/p>\n<ul data-id=\"u738a58b-gW6xpoDU\">\n<li data-id=\"ld70c578-ej4NvNQp\"><strong>model_name<\/strong>\uff1a\u6307\u5b9a\u6211\u4eec\u8981\u52a0\u8f7d\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u540d\u79f0\uff0c\u8fd9\u91cc\u662funsloth\/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit\uff0c\u8868\u793a\u6211\u4eec\u4f7f\u7528\u7684\u662f DeepSeek-R1-Distill \u6a21\u578b\u3002<\/li>\n<li data-id=\"ld70c578-PgfeajHr\"><strong>max_seq_length<\/strong>\uff1a\u8bbe\u7f6e\u6a21\u578b\u80fd\u5904\u7406\u7684\u6700\u5927\u8f93\u5165\u5e8f\u5217\u957f\u5ea6\uff0c\u8fd9\u91cc\u8bbe\u4e3a 2048\uff0c\u8fd9\u6837\u65e2\u80fd\u6ee1\u8db3\u5927\u90e8\u5206\u9700\u6c42\uff0c\u53c8\u80fd\u5408\u7406\u5229\u7528\u5185\u5b58\u548c\u63d0\u5347\u901f\u5ea6\u3002<\/li>\n<li data-id=\"ld70c578-CFVoUUCD\"><strong>dtype<\/strong>\uff1a\u8bbe\u7f6e\u4e3aNone\uff0c\u8fd9\u6837\u53ef\u4ee5\u81ea\u52a8\u9002\u914d\u5f53\u524d\u786c\u4ef6\u7684\u6570\u636e\u7c7b\u578b\uff0c\u65e0\u9700\u6211\u4eec\u989d\u5916\u64cd\u5fc3\u3002<\/li>\n<li data-id=\"ld70c578-vO3QiSiZ\"><strong>load_in_4bit<\/strong>\uff1a\u5c06\u6a21\u578b\u91cf\u5316\u4e3a 4bit \u7cbe\u5ea6\uff0c\u8fd9\u6837\u53ef\u4ee5\u5728\u4fdd\u8bc1\u6548\u679c\u7684\u540c\u65f6\uff0c\u5927\u5e45\u51cf\u5c11\u5185\u5b58\u5360\u7528\uff0c\u52a0\u5feb\u63a8\u7406\u901f\u5ea6\u3002<\/li>\n<\/ul>\n<h4>\u6dfb\u52a0 LoRA \u9002\u914d\u5668<\/h4>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u8981\u7ed9\u9884\u8bad\u7ec3\u6a21\u578b\u6dfb\u52a0 LoRA \u77e9\u9635\uff0c\u8fd9\u6837\u53ef\u4ee5\u5e2e\u52a9\u6a21\u578b\u5728\u5fae\u8c03\u65f6\u66f4\u597d\u5730\u9002\u5e94\u7279\u5b9a\u4efb\u52a1\u3002\u4f7f\u7528unsloth\u8fdb\u884c\u8fd9\u4e00\u8fc7\u7a0b\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u51e0\u884c\u4ee3\u7801\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_2\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\">model <span class=\"token operator\">=<\/span> FastLanguageModel<span class=\"token punctuation\">.<\/span><span class=\"token function\">get_peft_model<\/span><span class=\"token punctuation\">(<\/span>\r\n    model<span class=\"token punctuation\">,<\/span>\r\n    r <span class=\"token operator\">=<\/span> <span class=\"token number\">64<\/span><span class=\"token punctuation\">,<\/span>\r\n    target_modules <span class=\"token operator\">=<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">\"q_proj\"<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">\"k_proj\"<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">\"v_proj\"<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">\"o_proj\"<\/span><span class=\"token punctuation\">,<\/span>\r\n                      <span class=\"token string\">\"gate_proj\"<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">\"up_proj\"<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">\"down_proj\"<\/span><span class=\"token punctuation\">,<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span>\r\n    lora_alpha <span class=\"token operator\">=<\/span> <span class=\"token number\">32<\/span><span class=\"token punctuation\">,<\/span>\r\n    lora_dropout <span class=\"token operator\">=<\/span> <span class=\"token number\">0.05<\/span><span class=\"token punctuation\">,<\/span> # \u8bbe\u7f6e dropout \u9632\u6b62\u8fc7\u62df\u5408\uff0c<span class=\"token number\">0.05<\/span> \u662f\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\r\n    bias <span class=\"token operator\">=<\/span> <span class=\"token string\">\"none\"<\/span><span class=\"token punctuation\">,<\/span>    # bias \u53c2\u6570\u8fd9\u91cc\u9009\u62e9 <span class=\"token string\">\"none\"<\/span> \u662f\u6700\u4f18\u8bbe\u7f6e\r\n    use_gradient_checkpointing <span class=\"token operator\">=<\/span> <span class=\"token string\">\"unsloth\"<\/span><span class=\"token punctuation\">,<\/span> # \u5bf9\u4e8e\u957f\u5e8f\u5217\uff0c\u4f7f\u7528\u8fd9\u4e2a\u53ef\u4ee5\u8282\u7701\u5185\u5b58\r\n    random_state <span class=\"token operator\">=<\/span> <span class=\"token number\">3977<\/span><span class=\"token punctuation\">,<\/span>\r\n    use_rslora <span class=\"token operator\">=<\/span> False<span class=\"token punctuation\">,<\/span>  # unsloth \u4e5f\u652f\u6301 rank stabilized LoRA\r\n    loftq_config <span class=\"token operator\">=<\/span> None<span class=\"token punctuation\">,<\/span> # LoftQ \u914d\u7f6e\uff0c\u5982\u679c\u6ca1\u6709\u7279\u6b8a\u9700\u6c42\u53ef\u4ee5\u8bbe\u7f6e\u4e3a None\r\n<span class=\"token punctuation\">)<\/span><\/code><\/pre>\n<ul id=\"code_id_2\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u8fd9\u91cc\u7b80\u5355\u8bf4\u660e\u4e00\u4e0b\u5173\u952e\u53c2\u6570\u7684\u4f5c\u7528\uff1a<\/p>\n<ul data-id=\"u738a58b-B5pbAsof\">\n<li data-id=\"ld70c578-MUK124YV\"><strong>r<\/strong>\uff1a\u8bbe\u7f6e LoRA \u4e2d\u4f4e\u79e9\u77e9\u9635\u7684\u79e9\uff0c\u8fd9\u91cc\u53d6 64\uff0c\u4e00\u822c 8 \u5230 128 \u4e4b\u95f4\u90fd\u53ef\u4ee5\u9009\u62e9\uff0c64 \u5e38\u5e38\u80fd\u53d6\u5f97\u4e0d\u9519\u7684\u6548\u679c\u3002<\/li>\n<li data-id=\"ld70c578-87fCQIef\"><strong>lora_dropout<\/strong>\uff1a\u5728\u8bad\u7ec3 LoRA \u9002\u914d\u5668\u65f6\u52a0\u5165 dropout\uff0c\u6709\u52a9\u4e8e\u9632\u6b62\u6a21\u578b\u8fc7\u62df\u5408\u3002<\/li>\n<li data-id=\"ld70c578-ByASwopl\"><strong>target_modules<\/strong>\uff1a\u6307\u5b9a\u6a21\u578b\u4e2d\u9700\u8981\u5e94\u7528 LoRA \u7684\u6a21\u5757\u5217\u8868\uff0c\u8fd9\u91cc\u5217\u51fa\u4e86\u591a\u4e2a\u5e38\u89c1\u7684\u6295\u5f71\u6a21\u5757\u3002<\/li>\n<\/ul>\n<h4>\u6570\u636e\u51c6\u5907<\/h4>\n<p>\u5f53\u6211\u4eec\u5b8c\u6210\u4e86\u6a21\u578b\u7684\u9002\u914d\u8bbe\u7f6e\u4e4b\u540e\uff0c\u5c31\u9700\u8981\u51c6\u5907\u6570\u636e\u6765\u8fdb\u884c\u5fae\u8c03\u3002\u6570\u636e\u9700\u8981\u6309\u7167\u4e00\u5b9a\u7684\u683c\u5f0f\u7ec4\u7ec7\u597d\uff0c\u5176\u4e2d\u5305\u542b\u8f93\u5165\u3001\u6307\u4ee4\u548c\u671f\u671b\u7684\u8f93\u51fa\u3002<br \/>\n\u6211\u4eec\u901a\u5e38\u5c06\u6570\u636e\u5206\u4e3a\u4e09\u90e8\u5206\uff1a<\/p>\n<ul data-id=\"u738a58b-HpLm3a1d\">\n<li data-id=\"ld70c578-UXsFZGdq\"><strong>Instruction\uff08\u6307\u4ee4\uff09<\/strong>\uff1a\u8fd9\u662f\u5411\u6a21\u578b\u63d0\u51fa\u7684\u95ee\u9898\u6216\u4efb\u52a1\u63cf\u8ff0\u3002<\/li>\n<li data-id=\"ld70c578-kiv8PZE2\"><strong>Input\uff08\u8f93\u5165\uff09<\/strong>\uff1a\u5982\u679c\u6709\u989d\u5916\u6570\u636e\u9700\u8981\u63d0\u4f9b\uff0c\u8fd9\u91cc\u53ef\u4ee5\u4f20\u5165\u8865\u5145\u4fe1\u606f\u3002<\/li>\n<li data-id=\"ld70c578-e0CYYQN9\"><strong>Response\uff08\u56de\u7b54\uff09<\/strong>\uff1a\u8fd9\u5c31\u662f\u6211\u4eec\u671f\u671b\u6a21\u578b\u8f93\u51fa\u7684\u5185\u5bb9\uff0c\u5b83\u9700\u8981\u4e0e\u6307\u4ee4\uff08\u548c\u8f93\u5165\uff09\u76f8\u5339\u914d\u3002<\/li>\n<\/ul>\n<p>\u6211\u4eec\u5148\u5b9a\u4e49\u4e00\u4e2a\u6a21\u677f\uff0c\u7528\u6765\u7ec4\u7ec7\u8fd9\u4e9b\u4fe1\u606f\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_3\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\">alpaca_prompt <span class=\"token operator\">=<\/span> <span class=\"token string\">\"\"<\/span>\"Below is an instruction that describes a task<span class=\"token punctuation\">,<\/span> paired <span class=\"token keyword\">with<\/span> an input that provides further context<span class=\"token punctuation\">.<\/span> Write a response that appropriately completes the request<span class=\"token punctuation\">.<\/span>\r\n\r\n### Instruction<span class=\"token operator\">:<\/span>\r\n<span class=\"token punctuation\">{<\/span><span class=\"token punctuation\">}<\/span>\r\n\r\n### Input<span class=\"token operator\">:<\/span>\r\n<span class=\"token punctuation\">{<\/span><span class=\"token punctuation\">}<\/span>\r\n\r\n### Response<span class=\"token operator\">:<\/span>\r\n<span class=\"token punctuation\">{<\/span><span class=\"token punctuation\">}<\/span><span class=\"token string\">\"\"<\/span>\"<\/code><\/pre>\n<ul id=\"code_id_3\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u63a5\u7740\uff0c\u6211\u4eec\u5199\u4e00\u4e2a\u51fd\u6570\uff0c\u5229\u7528\u8fd9\u4e2a\u6a21\u677f\u5bf9\u6570\u636e\u8fdb\u884c\u683c\u5f0f\u5316\u3002\u6ce8\u610f\uff0c\u6211\u4eec\u5728\u6bcf\u6761\u6587\u672c\u540e\u9762\u90fd\u8981\u52a0\u4e0a EOS\uff08\u7ed3\u675f\u7b26\uff09\uff0c\u5426\u5219\u751f\u6210\u7684\u5185\u5bb9\u53ef\u80fd\u4f1a\u65e0\u9650\u5ef6\u957f\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_4\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\"><span class=\"token constant\">EOS_TOKEN<\/span> <span class=\"token operator\">=<\/span> tokenizer<span class=\"token punctuation\">.<\/span>eos_token  # \u83b7\u53d6\u5206\u8bcd\u5668\u4e2d\u7684\u7ed3\u675f\u7b26\r\n\r\ndef <span class=\"token function\">formatting_prompts_func<\/span><span class=\"token punctuation\">(<\/span>examples<span class=\"token punctuation\">)<\/span><span class=\"token operator\">:<\/span>\r\n    instructions <span class=\"token operator\">=<\/span> examples<span class=\"token punctuation\">[<\/span><span class=\"token string\">\"instruction\"<\/span><span class=\"token punctuation\">]<\/span>\r\n    inputs       <span class=\"token operator\">=<\/span> examples<span class=\"token punctuation\">[<\/span><span class=\"token string\">\"input\"<\/span><span class=\"token punctuation\">]<\/span>\r\n    outputs      <span class=\"token operator\">=<\/span> examples<span class=\"token punctuation\">[<\/span><span class=\"token string\">\"output\"<\/span><span class=\"token punctuation\">]<\/span>\r\n    texts <span class=\"token operator\">=<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span>\r\n    <span class=\"token keyword\">for<\/span> instruction<span class=\"token punctuation\">,<\/span> input<span class=\"token punctuation\">,<\/span> output <span class=\"token keyword\">in<\/span> <span class=\"token function\">zip<\/span><span class=\"token punctuation\">(<\/span>instructions<span class=\"token punctuation\">,<\/span> inputs<span class=\"token punctuation\">,<\/span> outputs<span class=\"token punctuation\">)<\/span><span class=\"token operator\">:<\/span>\r\n        # \u8fd9\u91cc\u4e00\u5b9a\u8981\u52a0\u4e0a <span class=\"token constant\">EOS_TOKEN<\/span>\uff0c\u5426\u5219\u751f\u6210\u5185\u5bb9\u53ef\u80fd\u4e0d\u4f1a\u505c\u6b62\r\n        text <span class=\"token operator\">=<\/span> alpaca_prompt<span class=\"token punctuation\">.<\/span><span class=\"token function\">format<\/span><span class=\"token punctuation\">(<\/span>instruction<span class=\"token punctuation\">,<\/span> input<span class=\"token punctuation\">,<\/span> output<span class=\"token punctuation\">)<\/span> <span class=\"token operator\">+<\/span> <span class=\"token constant\">EOS_TOKEN<\/span>\r\n        texts<span class=\"token punctuation\">.<\/span><span class=\"token function\">append<\/span><span class=\"token punctuation\">(<\/span>text<span class=\"token punctuation\">)<\/span>\r\n    <span class=\"token keyword\">return<\/span> <span class=\"token punctuation\">{<\/span> <span class=\"token string-property property\">\"text\"<\/span><span class=\"token operator\">:<\/span> texts<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">}<\/span><\/code><\/pre>\n<ul id=\"code_id_4\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u6700\u540e\uff0c\u6211\u4eec\u52a0\u8f7d\u7528\u4e8e\u5fae\u8c03\u7684\u6570\u636e\u96c6\uff0c\u8fd9\u91cc\u6211\u4eec\u9009\u7528\u7684\u662f Hugging Face Hub \u4e0a\u7684 \u201cyahma\/alpaca-cleaned\u201d\u3002\u8fd0\u884c\u4e0b\u9762\u7684\u4ee3\u7801\u5373\u53ef\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_5\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\">from datasets <span class=\"token keyword\">import<\/span> load_dataset\r\ndataset <span class=\"token operator\">=<\/span> <span class=\"token function\">load_dataset<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">\"yahma\/alpaca-cleaned\"<\/span><span class=\"token punctuation\">,<\/span> split<span class=\"token operator\">=<\/span><span class=\"token string\">\"train\"<\/span><span class=\"token punctuation\">)<\/span>\r\ndataset <span class=\"token operator\">=<\/span> dataset<span class=\"token punctuation\">.<\/span><span class=\"token function\">map<\/span><span class=\"token punctuation\">(<\/span>formatting_prompts_func<span class=\"token punctuation\">,<\/span> batched<span class=\"token operator\">=<\/span>True<span class=\"token punctuation\">)<\/span><\/code><\/pre>\n<ul id=\"code_id_5\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h4>\u6a21\u578b\u8bad\u7ec3<\/h4>\n<p>\u65e2\u7136\u6211\u4eec\u5df2\u7ecf\u51c6\u5907\u597d\u4e86\u683c\u5f0f\u5316\u540e\u7684\u6570\u636e\uff0c\u4e5f\u628a LoRA \u9002\u914d\u5668\u52a0\u8f7d\u5230\u6a21\u578b\u4e0a\u4e86\uff0c\u90a3\u63a5\u4e0b\u6765\u5c31\u53ef\u4ee5\u5f00\u59cb\u8bad\u7ec3\u4e86\u3002<br \/>\n\u8bad\u7ec3\u524d\uff0c\u6211\u4eec\u9700\u8981\u5148\u8bbe\u7f6e\u4e00\u4e9b\u8d85\u53c2\u6570\uff0c\u8fd9\u4e9b\u53c2\u6570\u4f1a\u5f71\u54cd\u8bad\u7ec3\u7684\u8fc7\u7a0b\u548c\u6a21\u578b\u7684\u51c6\u786e\u5ea6\u3002<\/p>\n<p>\u6211\u4eec\u4f7f\u7528SFTTrainer\u6765\u521d\u59cb\u5316\u8bad\u7ec3\u5668\uff0c\u5e76\u4f20\u5165\u76f8\u5173\u7684\u8d85\u53c2\u6570\u3002\u4e0b\u9762\u8fd9\u6bb5\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5b8c\u6210\u521d\u59cb\u5316\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_6\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\">from trl <span class=\"token keyword\">import<\/span> SFTTrainer\r\nfrom transformers <span class=\"token keyword\">import<\/span> TrainingArguments\r\nfrom unsloth <span class=\"token keyword\">import<\/span> is_bfloat16_supported\r\n\r\ntrainer <span class=\"token operator\">=<\/span> <span class=\"token function\">SFTTrainer<\/span><span class=\"token punctuation\">(<\/span>\r\n    model <span class=\"token operator\">=<\/span> model<span class=\"token punctuation\">,<\/span>             # \u5df2\u7ecf\u6dfb\u52a0\u4e86 LoRA \u9002\u914d\u5668\u7684\u6a21\u578b\r\n    tokenizer <span class=\"token operator\">=<\/span> tokenizer<span class=\"token punctuation\">,<\/span>     # \u6a21\u578b\u5bf9\u5e94\u7684\u5206\u8bcd\u5668\r\n    train_dataset <span class=\"token operator\">=<\/span> dataset<span class=\"token punctuation\">,<\/span>   # \u7528\u4e8e\u8bad\u7ec3\u7684\u6570\u636e\u96c6\r\n    dataset_text_field <span class=\"token operator\">=<\/span> <span class=\"token string\">\"text\"<\/span><span class=\"token punctuation\">,<\/span>   # \u6570\u636e\u96c6\u4e2d\u5305\u542b\u7ed3\u6784\u5316\u6570\u636e\u7684\u5b57\u6bb5\u540d\u79f0\r\n    max_seq_length <span class=\"token operator\">=<\/span> max_seq_length<span class=\"token punctuation\">,<\/span>   # \u6a21\u578b\u80fd\u5904\u7406\u7684\u6700\u5927\u8f93\u5165\u5e8f\u5217\u957f\u5ea6\r\n    dataset_num_proc <span class=\"token operator\">=<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span>      # \u7528\u4e8e\u52a0\u8f7d\u548c\u5904\u7406\u6570\u636e\u7684\u8fdb\u7a0b\u6570\r\n    packing <span class=\"token operator\">=<\/span> False<span class=\"token punctuation\">,<\/span>           # \u5bf9\u4e8e\u77ed\u5e8f\u5217\uff0c\u5f00\u542f\u8fd9\u4e2a\u9009\u9879\u80fd\u8ba9\u8bad\u7ec3\u5feb<span class=\"token number\">5<\/span>\u500d\uff08\u8fd9\u91cc\u6682\u4e0d\u5f00\u542f\uff09\r\n    args <span class=\"token operator\">=<\/span> <span class=\"token function\">TrainingArguments<\/span><span class=\"token punctuation\">(<\/span>\r\n        per_device_train_batch_size <span class=\"token operator\">=<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span>   # \u6bcf\u5757 <span class=\"token constant\">GPU<\/span> \u4e0a\u7684\u8bad\u7ec3\u6279\u6b21\u5927\u5c0f\r\n        gradient_accumulation_steps <span class=\"token operator\">=<\/span> <span class=\"token number\">4<\/span><span class=\"token punctuation\">,<\/span>     # \u68af\u5ea6\u7d2f\u79ef\u7684\u6b65\u6570\r\n        warmup_steps <span class=\"token operator\">=<\/span> <span class=\"token number\">5<\/span><span class=\"token punctuation\">,<\/span>\r\n        # num_train_epochs <span class=\"token operator\">=<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span>  # \u5982\u679c\u9700\u8981\u5b8c\u6574\u8bad\u7ec3<span class=\"token number\">1<\/span>\u4e2a\u5468\u671f\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u8fd9\u4e2a\u53c2\u6570\r\n        max_steps <span class=\"token operator\">=<\/span> <span class=\"token number\">120<\/span><span class=\"token punctuation\">,<\/span>         # \u6700\u5927\u8bad\u7ec3\u6b65\u6570\r\n        learning_rate <span class=\"token operator\">=<\/span> <span class=\"token number\">2e-4<\/span><span class=\"token punctuation\">,<\/span>    # \u521d\u59cb\u5b66\u4e60\u7387\r\n        fp16 <span class=\"token operator\">=<\/span> not <span class=\"token function\">is_bfloat16_supported<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span>\r\n        bf16 <span class=\"token operator\">=<\/span> <span class=\"token function\">is_bfloat16_supported<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span>\r\n        logging_steps <span class=\"token operator\">=<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span>\r\n        optim <span class=\"token operator\">=<\/span> <span class=\"token string\">\"adamw_8bit\"<\/span><span class=\"token punctuation\">,<\/span>    # \u66f4\u65b0\u6743\u91cd\u65f6\u4f7f\u7528\u7684\u4f18\u5316\u5668\r\n        weight_decay <span class=\"token operator\">=<\/span> <span class=\"token number\">0.01<\/span><span class=\"token punctuation\">,<\/span>\r\n        lr_scheduler_type <span class=\"token operator\">=<\/span> <span class=\"token string\">\"linear\"<\/span><span class=\"token punctuation\">,<\/span>\r\n        seed <span class=\"token operator\">=<\/span> <span class=\"token number\">3407<\/span><span class=\"token punctuation\">,<\/span>\r\n        output_dir <span class=\"token operator\">=<\/span> <span class=\"token string\">\"outputs\"<\/span><span class=\"token punctuation\">,<\/span>\r\n        report_to <span class=\"token operator\">=<\/span> <span class=\"token string\">\"none\"<\/span><span class=\"token punctuation\">,<\/span>      # \u5982\u9700\u4f7f\u7528 WandB \u7b49\u5de5\u5177\u53ef\u4fee\u6539\u6b64\u9879\r\n    <span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span>\r\n<span class=\"token punctuation\">)<\/span><\/code><\/pre>\n<ul id=\"code_id_6\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<li>13.<\/li>\n<li>14.<\/li>\n<li>15.<\/li>\n<li>16.<\/li>\n<li>17.<\/li>\n<li>18.<\/li>\n<li>19.<\/li>\n<li>20.<\/li>\n<li>21.<\/li>\n<li>22.<\/li>\n<li>23.<\/li>\n<li>24.<\/li>\n<li>25.<\/li>\n<li>26.<\/li>\n<li>27.<\/li>\n<li>28.<\/li>\n<li>29.<\/li>\n<li>30.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u521d\u59cb\u5316\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ea\u9700\u8c03\u7528\u8bad\u7ec3\u547d\u4ee4\u5373\u53ef\u5f00\u59cb\u8bad\u7ec3\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_7\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\">trainer_stats <span class=\"token operator\">=<\/span> trainer<span class=\"token punctuation\">.<\/span><span class=\"token function\">train<\/span><span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/code><\/pre>\n<ul id=\"code_id_7\" class=\"pre-numbering\">\n<li>1.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u8fd9\u6837\u8bad\u7ec3\u8fc7\u7a0b\u5c31\u4f1a\u5f00\u59cb\u8fd0\u884c\uff0c\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5728 Colab \u7684\u65e5\u5fd7\u4e2d\u4f1a\u663e\u793a\u6bcf\u4e00\u6b65\u7684\u8bad\u7ec3\u635f\u5931\u3002<\/p>\n<p><img data-dominant-color=\"3d3d3e\" data-has-transparency=\"false\" style=\"--dominant-color: #3d3d3e;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-24528\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/a1606082611a68905df0499aebaf0b041e6ca2.jpg\" width=\"689\" height=\"568\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/a1606082611a68905df0499aebaf0b041e6ca2.jpg 689w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/a1606082611a68905df0499aebaf0b041e6ca2-300x247.jpg 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/a1606082611a68905df0499aebaf0b041e6ca2-150x124.jpg 150w\" sizes=\"auto, (max-width: 689px) 100vw, 689px\" \/><\/p>\n<h4>\u6a21\u578b\u63a8\u7406<\/h4>\n<p>\u5f53\u8bad\u7ec3\u7ed3\u675f\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5229\u7528\u5fae\u8c03\u540e\u7684\u6a21\u578b\u8fdb\u884c\u63a8\u7406\uff0c\u770b\u770b\u5b83\u7684\u56de\u7b54\u6548\u679c\u5982\u4f55\u3002\u4e0b\u9762\u8fd9\u6bb5\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u5fae\u8c03\u540e\u7684\u6a21\u578b\u8fdb\u884c\u63a8\u7406\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_8\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\">FastLanguageModel<span class=\"token punctuation\">.<\/span><span class=\"token function\">for_inference<\/span><span class=\"token punctuation\">(<\/span>model<span class=\"token punctuation\">)<\/span>  # \u5f00\u542f\u539f\u751f <span class=\"token number\">2<\/span> \u500d\u52a0\u901f\u63a8\u7406\r\ninputs <span class=\"token operator\">=<\/span> <span class=\"token function\">tokenizer<\/span><span class=\"token punctuation\">(<\/span>\r\n    <span class=\"token punctuation\">[<\/span>\r\n        alpaca_prompt<span class=\"token punctuation\">.<\/span><span class=\"token function\">format<\/span><span class=\"token punctuation\">(<\/span>\r\n            <span class=\"token string\">\"Continue the fibonnaci sequence.\"<\/span><span class=\"token punctuation\">,<\/span>  # \u6307\u4ee4\r\n            <span class=\"token string\">\"1, 1, 2, 3, 5, 8\"<\/span><span class=\"token punctuation\">,<\/span>                    # \u8f93\u5165\r\n            <span class=\"token string\">\"\"<\/span><span class=\"token punctuation\">,<\/span>                                   # \u8f93\u51fa\uff1a\u7559\u7a7a\u8868\u793a\u9700\u8981\u6a21\u578b\u751f\u6210\u7b54\u6848\r\n        <span class=\"token punctuation\">)<\/span>\r\n    <span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> return_tensors<span class=\"token operator\">=<\/span><span class=\"token string\">\"pt\"<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token function\">to<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">\"cuda\"<\/span><span class=\"token punctuation\">)<\/span>\r\n\r\noutputs <span class=\"token operator\">=<\/span> model<span class=\"token punctuation\">.<\/span><span class=\"token function\">generate<\/span><span class=\"token punctuation\">(<\/span><span class=\"token operator\">**<\/span>inputs<span class=\"token punctuation\">,<\/span> max_new_tokens<span class=\"token operator\">=<\/span><span class=\"token number\">64<\/span><span class=\"token punctuation\">,<\/span> use_cache<span class=\"token operator\">=<\/span>True<span class=\"token punctuation\">)<\/span>\r\ntokenizer<span class=\"token punctuation\">.<\/span><span class=\"token function\">batch_decode<\/span><span class=\"token punctuation\">(<\/span>outputs<span class=\"token punctuation\">)<\/span><\/code><\/pre>\n<ul id=\"code_id_8\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u4e0b\u9762\u7528\u901a\u4fd7\u6613\u61c2\u7684\u65b9\u5f0f\u89e3\u91ca\u4e00\u4e0b\u8fd9\u6bb5\u4ee3\u7801\u7684\u4f5c\u7528\uff1a<\/p>\n<ul data-id=\"u738a58b-oswzMChF\">\n<li data-id=\"ld70c578-Hc4n4jPf\">\u6211\u4eec\u8c03\u7528\u4e86unsloth\u5305\u4e2d\u7684FastLanguageModel\uff0c\u76ee\u7684\u662f\u52a0\u8f7d\u5df2\u7ecf\u5fae\u8c03\u597d\u7684\u6a21\u578b\u7528\u4e8e\u63a8\u7406\u3002\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u8ba9\u63a8\u7406\u901f\u5ea6\u66f4\u5feb\u3002<\/li>\n<li data-id=\"ld70c578-y7Mku498\">\u5728\u8fdb\u884c\u63a8\u7406\u524d\uff0c\u9996\u5148\u9700\u8981\u5c06\u67e5\u8be2\u5185\u5bb9\uff08\u4e5f\u5c31\u662f\u95ee\u9898\uff09\u6309\u7167\u9884\u5148\u8bbe\u5b9a\u7684\u683c\u5f0f\u7ec4\u7ec7\u6210\u4e00\u4e2a\u7ed3\u6784\u5316\u7684\u6587\u672c\uff08prompt\uff09\uff0c\u7136\u540e\u4f7f\u7528\u5206\u8bcd\u5668\u5c06\u8fd9\u4e2a prompt \u8f6c\u6362\u4e3a\u6a21\u578b\u53ef\u4ee5\u8bc6\u522b\u7684\u683c\u5f0f\u3002<\/li>\n<li data-id=\"ld70c578-bA88tZbl\">\u4e3a\u4e86\u8ba9\u5206\u8bcd\u5668\u8f93\u51fa PyTorch \u7684\u5f20\u91cf\uff0c\u6211\u4eec\u8bbe\u7f6e\u4e86\u53c2\u6570return_tensors=&#8221;pt&#8221;\u3002\u63a5\u7740\uff0c\u7528.to(&#8220;cuda&#8221;)\u628a\u5f20\u91cf\u52a0\u8f7d\u5230 GPU \u4e0a\uff0c\u8fd9\u6837\u5904\u7406\u901f\u5ea6\u4f1a\u5927\u5927\u63d0\u9ad8\u3002<\/li>\n<li data-id=\"ld70c578-RjqTHxUM\">\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u8c03\u7528model.generate()\u65b9\u6cd5\u751f\u6210\u56de\u7b54\u3002<\/li>\n<li data-id=\"ld70c578-B0L5brOC\">\u5728\u751f\u6210\u56de\u7b54\u65f6\uff0c\u6211\u4eec\u8bbe\u7f6e\u4e86max_new_tokens=64\uff0c\u8fd9\u8868\u793a\u6a21\u578b\u6700\u591a\u751f\u6210 64 \u4e2a\u65b0 token\u3002<\/li>\n<li data-id=\"ld70c578-oa64KaYX\">\u540c\u65f6\uff0c\u53c2\u6570use_cache=True\u53ef\u4ee5\u52a0\u901f\u751f\u6210\u8fc7\u7a0b\uff0c\u7279\u522b\u662f\u5728\u751f\u6210\u957f\u5e8f\u5217\u65f6\u6548\u679c\u66f4\u660e\u663e\u3002<\/li>\n<li data-id=\"ld70c578-U17eV6Ze\">\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528\u5206\u8bcd\u5668\u7684batch_decode()\u65b9\u6cd5\u5c06\u751f\u6210\u7684\u5f20\u91cf\u7ed3\u679c\u89e3\u7801\u6210\u6211\u4eec\u80fd\u770b\u61c2\u7684\u6587\u672c\u3002<\/li>\n<\/ul>\n<p><img data-dominant-color=\"4a4a4a\" data-has-transparency=\"false\" style=\"--dominant-color: #4a4a4a;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-24529\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/d75fff76046b56451ae8823a4a7a89430fb423.jpg\" width=\"856\" height=\"114\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/d75fff76046b56451ae8823a4a7a89430fb423.jpg 856w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/d75fff76046b56451ae8823a4a7a89430fb423-300x40.jpg 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/d75fff76046b56451ae8823a4a7a89430fb423-150x20.jpg 150w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/02\/d75fff76046b56451ae8823a4a7a89430fb423-768x102.jpg 768w\" sizes=\"auto, (max-width: 856px) 100vw, 856px\" \/><\/p>\n<h4>\u4fdd\u5b58\u5fae\u8c03\u6a21\u578b<\/h4>\n<p>\u8bad\u7ec3\u5b8c\u6bd5\u540e\uff0c\u6700\u540e\u4e00\u6b65\u5c31\u662f\u4fdd\u5b58\u6211\u4eec\u7684\u5fae\u8c03\u6a21\u578b\uff0c\u4ee5\u4fbf\u65e5\u540e\u4f7f\u7528\u6216\u90e8\u7f72\u3002\u8bb0\u5f97\u540c\u65f6\u4fdd\u5b58\u6a21\u578b\u548c\u5206\u8bcd\u5668\u3002\u4e0b\u9762\u63d0\u4f9b\u4e86\u4e24\u79cd\u4fdd\u5b58\u65b9\u5f0f\uff0c\u5206\u522b\u5bf9\u5e94 4bit \u548c 16bit \u7cbe\u5ea6\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_9\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-javascript\" tabindex=\"0\"><code class=\"language-javascript\"># \u4ee5 4bit \u7cbe\u5ea6\u4fdd\u5b58\r\nmodel<span class=\"token punctuation\">.<\/span><span class=\"token function\">push_to_hub_merged<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">\"&lt;YOUR_HF_ID&gt;\/&lt;MODEL_NAME&gt;\"<\/span><span class=\"token punctuation\">,<\/span> tokenizer<span class=\"token punctuation\">,<\/span> save_method<span class=\"token operator\">=<\/span><span class=\"token string\">\"merged_4bit\"<\/span><span class=\"token punctuation\">,<\/span> token<span class=\"token operator\">=<\/span><span class=\"token string\">\"&lt;YOUR_HF_TOKEN&gt;\"<\/span><span class=\"token punctuation\">)<\/span>\r\n\r\n# \u4ee5 16bit \u7cbe\u5ea6\u4fdd\u5b58\r\nmodel<span class=\"token punctuation\">.<\/span><span class=\"token function\">push_to_hub_merged<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">\"&lt;YOUR_HF_ID&gt;\/&lt;MODEL_NAME&gt;\"<\/span><span class=\"token punctuation\">,<\/span> tokenizer<span class=\"token punctuation\">,<\/span> save_method<span class=\"token operator\">=<\/span><span class=\"token string\">\"merged_16bit\"<\/span><span class=\"token punctuation\">,<\/span> token<span class=\"token operator\">=<\/span><span class=\"token string\">\"&lt;YOUR_HF_TOKEN&gt;\"<\/span><span class=\"token punctuation\">)<\/span><\/code><\/pre>\n<ul id=\"code_id_9\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u8fd9\u91cc\u53ea\u9700\u5c06&lt;YOUR_HF_ID&gt;\u3001&lt;MODEL_NAME&gt;\u548c&lt;YOUR_HF_TOKEN&gt;\u66ff\u6362\u6210\u4f60\u5728 Hugging Face \u7684\u76f8\u5173\u4fe1\u606f\u5373\u53ef\u3002<\/p>\n<p>\u6587\u7ae0\u6765\u81ea\uff1a51CTO<\/p>\n<\/div>\n<\/div>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_24524\" class=\"pvc_stats total_only  \" data-element-id=\"24524\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.0\" viewBox=\"0 0 502 315\" preserveAspectRatio=\"xMidYMid meet\"><g transform=\"translate(0,332) scale(0.1,-0.1)\" fill=\"\" stroke=\"none\"><path d=\"M2394 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17 -61 16 -100 -3z\"\/><path d=\"M4250 2784 c-14 -9 -74 -91 -133 -183 -95 -150 -107 -173 -107 -213 0 -55 33 -94 87 -104 67 -13 90 8 211 198 130 202 137 225 78 284 -27 27 -42 34 -72 34 -22 0 -50 -8 -64 -16z\"\/><path d=\"M2275 2693 c-553 -48 -1095 -270 -1585 -649 -135 -104 -459 -423 -483 -476 -23 -49 -22 -139 2 -186 73 -142 361 -457 571 -626 285 -228 642 -407 990 -497 242 -63 336 -73 660 -74 310 0 370 5 595 52 535 111 1045 392 1455 803 122 121 250 273 275 326 19 41 19 137 0 174 -41 79 -309 363 -465 492 -447 370 -946 591 -1479 653 -113 14 -422 18 -536 8z m395 -428 c171 -34 330 -124 456 -258 112 -119 167 -219 211 -378 27 -96 24 -300 -5 -401 -72 -255 -236 -447 -474 -557 -132 -62 -201 -76 -368 -76 -167 0 -236 14 -368 76 -213 98 -373 271 -451 485 -162 444 86 934 547 1084 153 49 292 57 452 25z m909 -232 c222 -123 408 -262 593 -441 76 -74 138 -139 138 -144 0 -16 -233 -242 -330 -319 -155 -123 -309 -223 -461 -299 l-81 -41 32 46 c18 26 49 83 70 128 143 306 141 649 -6 957 -25 52 -61 116 -79 142 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1455 803 122 121 250 273 275 326 19 41 19 137 0 174 -41 79 -309 363 -465 492 -447 370 -946 591 -1479 653 -113 14 -422 18 -536 8z m395 -428 c171 -34 330 -124 456 -258 112 -119 167 -219 211 -378 27 -96 24 -300 -5 -401 -72 -255 -236 -447 -474 -557 -132 -62 -201 -76 -368 -76 -167 0 -236 14 -368 76 -213 98 -373 271 -451 485 -162 444 86 934 547 1084 153 49 292 57 452 25z m909 -232 c222 -123 408 -262 593 -441 76 -74 138 -139 138 -144 0 -16 -233 -242 -330 -319 -155 -123 -309 -223 -461 -299 l-81 -41 32 46 c18 26 49 83 70 128 143 306 141 649 -6 957 -25 52 -61 116 -79 142 l-34 47 45 -20 c26 -10 76 -36 113 -56z m-2057 25 c-40 -58 -105 -190 -130 -263 -110 -324 -59 -707 132 -981 25 -35 42 -64 37 -64 -19 0 -241 119 -326 174 -188 122 -406 314 -532 468 l-58 71 108 103 c185 178 428 349 672 473 66 33 121 60 123 61 2 0 -10 -19 -26 -42z\"\/><path d=\"M2375 1950 c-198 -44 -350 -190 -395 -379 -18 -76 -8 -221 19 -290 114 -284 457 -406 731 -260 98 52 188 154 231 260 27 69 37 214 19 290 -38 163 -166 304 -326 360 -67 23 -215 33 -279 19z\"\/><\/g><\/svg><\/i> <img loading=\"lazy\" decoding=\"async\" width=\"16\" height=\"16\" alt=\"Loading\" src=\"https:\/\/aif.amtbbs.org\/wp-content\/plugins\/page-views-count\/ajax-loader-2x.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>\n","protected":false},"author":56,"featured_media":24526,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23,20,80],"tags":[124,1526,1556],"class_list":["post-24524","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-23","category-20","category-80","tag-ai","tag-deepseek","tag-gpu"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/24524","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/comments?post=24524"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/24524\/revisions"}],"predecessor-version":[{"id":24530,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/24524\/revisions\/24530"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/24526"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=24524"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=24524"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=24524"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}