{"id":18806,"date":"2025-10-26T03:35:08","date_gmt":"2025-10-26T03:35:08","guid":{"rendered":"https:\/\/pokecon.jp\/job\/?p=18806"},"modified":"2025-10-26T03:35:08","modified_gmt":"2025-10-26T03:35:08","slug":"openai-gpt-oss-20b%e3%83%a2%e3%83%87%e3%83%ab%e3%81%ae%e3%83%95%e3%82%a1%e3%82%a4%e3%83%b3%e3%83%81%e3%83%a5%e3%83%bc%e3%83%8b%e3%83%b3%e3%82%b0%e5%ae%8c%e5%85%a8%e3%82%ac%e3%82%a4%e3%83%89","status":"publish","type":"post","link":"https:\/\/pokecon.jp\/job\/18806\/","title":{"rendered":"OpenAI GPT-OSS 20B\u30e2\u30c7\u30eb\u306e\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u5b8c\u5168\u30ac\u30a4\u30c9"},"content":{"rendered":"\n<\/p>\n<div>\n<h2 id=\"%F0%9F%9A%80-%E3%81%AF%E3%81%98%E3%82%81%E3%81%AB\" data-line=\"0\" class=\"code-line\">\n \ud83d\ude80 \u306f\u3058\u3081\u306b<\/h2>\n<p data-line=\"2\" class=\"code-line\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001OpenAI\u306e\u6700\u65b0\u30e2\u30c7\u30eb<strong>GPT-OSS 20B<\/strong>\u3092<strong>Google Colab L4 GPU<\/strong>\uff0822GB VRAM\uff09\u3067\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u65b9\u6cd5\u3092\u89e3\u8aac\u3057\u307e\u3059\u3002Unsloth\u30e9\u30a4\u30d6\u30e9\u30ea\u3068LoRA\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u52b9\u7387\u7684\u306b\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u3067\u304d\u307e\u3059\u3002<\/p>\n<div class=\"align-center\">\n<a target=\"_blank\" href=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/unsloth.ai\/<\/a>&#8220;&gt;<img decoding=\"async\" src=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\/>https:\/\/github.com\/unslothai\/unsloth\/raw\/main\/images\/unsloth new logo.png&#8221; width=&#8221;115&#8243;&gt;<br \/>\n<a target=\"_blank\" href=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/discord.gg\/unsloth<\/a>&#8220;&gt;<img decoding=\"async\" src=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\/>https:\/\/github.com\/unslothai\/unsloth\/raw\/main\/images\/Discord button.png&#8221; width=&#8221;145&#8243;&gt;<br \/>\n<a target=\"_blank\" href=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/docs.unsloth.ai\/<\/a>&#8220;&gt;<img decoding=\"async\" src=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\/>https:\/\/github.com\/unslothai\/unsloth\/blob\/main\/images\/documentation green button.png?raw=true&#8221; width=&#8221;125&#8243;&gt;\n<\/div>\n<p data-line=\"10\" class=\"code-line\"><span class=\"embed-block zenn-embedded zenn-embedded-tweet\"><iframe id=\"zenn-embedded__db7c84f6ce734\" src=\"https:\/\/embed.zenn.studio\/tweet#zenn-embedded__db7c84f6ce734\" data-content=\"https%3A%2F%2Fx.com%2FhAru_mAki_ch%2Fstatus%2F1954113324599189873\" frameborder=\"0\" scrolling=\"no\" loading=\"lazy\"><\/iframe><\/span><a target=\"_blank\" href=\"https:\/\/x.com\/hAru_mAki_ch\/status\/1954113324599189873\" style=\"display:none\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/x.com\/hAru_mAki_ch\/status\/1954113324599189873<\/a><\/p>\n<h2 id=\"%F0%9F%93%A2-%E6%9C%80%E6%96%B0%E6%83%85%E5%A0%B1\" data-line=\"12\" class=\"code-line\">\n \ud83d\udce2 \u6700\u65b0\u60c5\u5831<\/h2>\n<ul data-line=\"14\" class=\"code-line\">\n<li data-line=\"14\" class=\"code-line\">\n<strong>\u65b0\u6a5f\u80fd<\/strong>: Unsloth\u304cOpenAI\u306e<strong>GPT-OSS<\/strong>\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u5bfe\u5fdc\uff01<\/li>\n<li data-line=\"15\" class=\"code-line\">Text-to-Speech (TTS)\u30e2\u30c7\u30eb\u306e\u30b5\u30dd\u30fc\u30c8\u3082\u8ffd\u52a0<\/li>\n<li data-line=\"16\" class=\"code-line\">\u65b0\u3057\u3044<strong>Dynamic 2.0<\/strong>\u91cf\u5b50\u5316\u624b\u6cd5\u304c\u5229\u7528\u53ef\u80fd<\/li>\n<\/ul>\n<h2 id=\"%E2%9A%99%EF%B8%8F-%E7%92%B0%E5%A2%83%E8%A8%AD%E5%AE%9A\" data-line=\"18\" class=\"code-line\">\n \u2699\ufe0f \u74b0\u5883\u8a2d\u5b9a<\/h2>\n<h3 id=\"%E9%87%8D%E8%A6%81%E3%81%AA%E6%B3%A8%E6%84%8F%E4%BA%8B%E9%A0%85\" data-line=\"20\" class=\"code-line\">\n \u91cd\u8981\u306a\u6ce8\u610f\u4e8b\u9805<\/h3>\n<blockquote data-line=\"21\" class=\"code-line\">\n<p data-line=\"21\" class=\"code-line\">\u26a0\ufe0f <strong>\u3053\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306fGoogle Colab L4 GPU\uff0822GB VRAM\uff09\u3067\u52d5\u4f5c\u78ba\u8a8d\u6e08\u307f\u3067\u3059\u3002<\/strong><br \/>T4 GPU\u3067\u306f\u52d5\u4f5c\u3057\u306a\u3044\u305f\u3081\u3001\u5fc5\u305aL4\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/blockquote>\n<h3 id=\"1.-%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%BC%E3%83%AB\" data-line=\"24\" class=\"code-line\">\n 1. \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h3>\n<p data-line=\"26\" class=\"code-line\">\u6700\u65b0\u306ePyTorch\u3001Triton\u3001Transformers\u3001Unsloth\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"28\"><span class=\"token operator\">%<\/span>env CUDA_LAUNCH_BLOCKING<span class=\"token operator\">=<\/span><span class=\"token number\">1<\/span>\n<\/code><\/pre>\n<\/div>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"32\"><span class=\"token operator\">%<\/span><span class=\"token operator\">%<\/span>capture\n\n!pip install <span class=\"token operator\">-<\/span><span class=\"token operator\">-<\/span>upgrade <span class=\"token operator\">-<\/span>qqq uv\n<span class=\"token keyword\">try<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token keyword\">import<\/span> numpy<span class=\"token punctuation\">;<\/span> install_numpy <span class=\"token operator\">=<\/span> <span class=\"token string-interpolation\"><span class=\"token string\">f\"numpy==<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>numpy<span class=\"token punctuation\">.<\/span>__version__<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">\"<\/span><\/span>\n<span class=\"token keyword\">except<\/span><span class=\"token punctuation\">:<\/span> install_numpy <span class=\"token operator\">=<\/span> <span class=\"token string\">\"numpy\"<\/span>\n!uv pip install <span class=\"token operator\">-<\/span>qqq \\\n    <span class=\"token string\">\"torch&gt;=2.8.0\"<\/span> <span class=\"token string\">\"triton&gt;=3.4.0\"<\/span> <span class=\"token punctuation\">{<\/span>install_numpy<span class=\"token punctuation\">}<\/span> \\\n    <span class=\"token string\">\"unsloth_zoo[base] @ git+https:\/\/github.com\/unslothai\/unsloth-zoo\"<\/span> \\\n    <span class=\"token string\">\"unsloth[base] @ git+https:\/\/github.com\/unslothai\/unsloth\"<\/span> \\\n    torchvision bitsandbytes \\\n    git<span class=\"token operator\">+<\/span>https<span class=\"token punctuation\">:<\/span><span class=\"token operator\">\/\/<\/span>github<span class=\"token punctuation\">.<\/span>com<span class=\"token operator\">\/<\/span>huggingface<span class=\"token operator\">\/<\/span>transformers \\\n    git<span class=\"token operator\">+<\/span>https<span class=\"token punctuation\">:<\/span><span class=\"token operator\">\/\/<\/span>github<span class=\"token punctuation\">.<\/span>com<span class=\"token operator\">\/<\/span>triton<span class=\"token operator\">-<\/span>lang<span class=\"token operator\">\/<\/span>triton<span class=\"token punctuation\">.<\/span>git@main\n<\/code><\/pre>\n<\/div>\n<h2 id=\"%F0%9F%A4%96-%E3%83%A2%E3%83%87%E3%83%AB%E3%81%AE%E8%AA%AD%E3%81%BF%E8%BE%BC%E3%81%BF\" data-line=\"47\" class=\"code-line\">\n \ud83e\udd16 \u30e2\u30c7\u30eb\u306e\u8aad\u307f\u8fbc\u307f<\/h2>\n<h3 id=\"gpt-oss-20b%E3%83%A2%E3%83%87%E3%83%AB%E3%81%AE%E3%83%AD%E3%83%BC%E3%83%89\" data-line=\"49\" class=\"code-line\">\n GPT-OSS 20B\u30e2\u30c7\u30eb\u306e\u30ed\u30fc\u30c9<\/h3>\n<p data-line=\"51\" class=\"code-line\">4\u30d3\u30c3\u30c8\u91cf\u5b50\u5316\u3092\u4f7f\u7528\u3057\u3066\u30e1\u30e2\u30ea\u52b9\u7387\u7684\u306b\u30e2\u30c7\u30eb\u3092\u8aad\u307f\u8fbc\u307f\u307e\u3059\uff1a<\/p>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"53\"><span class=\"token keyword\">from<\/span> unsloth <span class=\"token keyword\">import<\/span> FastLanguageModel\n<span class=\"token keyword\">import<\/span> torch\n\nmax_seq_length <span class=\"token operator\">=<\/span> <span class=\"token number\">4096<\/span>\ndtype <span class=\"token operator\">=<\/span> <span class=\"token boolean\">None<\/span>\n\n\nfourbit_models <span class=\"token operator\">=<\/span> <span class=\"token punctuation\">[<\/span>\n    <span class=\"token string\">\"unsloth\/gpt-oss-20b-unsloth-bnb-4bit\"<\/span><span class=\"token punctuation\">,<\/span>  \n    <span class=\"token string\">\"unsloth\/gpt-oss-120b-unsloth-bnb-4bit\"<\/span><span class=\"token punctuation\">,<\/span>\n    <span class=\"token string\">\"unsloth\/gpt-oss-20b\"<\/span><span class=\"token punctuation\">,<\/span>                    \n    <span class=\"token string\">\"unsloth\/gpt-oss-120b\"<\/span><span class=\"token punctuation\">,<\/span>\n<span class=\"token punctuation\">]<\/span>\n\nmodel<span class=\"token punctuation\">,<\/span> tokenizer <span class=\"token operator\">=<\/span> FastLanguageModel<span class=\"token punctuation\">.<\/span>from_pretrained<span class=\"token punctuation\">(<\/span>\n    model_name <span class=\"token operator\">=<\/span> <span class=\"token string\">\"unsloth\/gpt-oss-20b\"<\/span><span class=\"token punctuation\">,<\/span>\n    dtype <span class=\"token operator\">=<\/span> dtype<span class=\"token punctuation\">,<\/span>  \n    max_seq_length <span class=\"token operator\">=<\/span> max_seq_length<span class=\"token punctuation\">,<\/span>\n    load_in_4bit <span class=\"token operator\">=<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span>  \n    full_finetuning <span class=\"token operator\">=<\/span> <span class=\"token boolean\">False<\/span><span class=\"token punctuation\">,<\/span>\n<span class=\"token punctuation\">)<\/span>\n<\/code><\/pre>\n<\/div>\n<h3 id=\"lora%E3%82%A2%E3%83%80%E3%83%97%E3%82%BF%E3%83%BC%E3%81%AE%E8%BF%BD%E5%8A%A0\" data-line=\"77\" class=\"code-line\">\n LoRA\u30a2\u30c0\u30d7\u30bf\u30fc\u306e\u8ffd\u52a0<\/h3>\n<p data-line=\"79\" class=\"code-line\">\u30d1\u30e9\u30e1\u30fc\u30bf\u52b9\u7387\u7684\u306a\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u306e\u305f\u3081\u3001LoRA\u30a2\u30c0\u30d7\u30bf\u30fc\u3092\u8ffd\u52a0\u3057\u307e\u3059\uff08\u5168\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u7d041%\u306e\u307f\u3092\u8a13\u7df4\uff09\uff1a<\/p>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"81\">model <span class=\"token operator\">=<\/span> FastLanguageModel<span class=\"token punctuation\">.<\/span>get_peft_model<span class=\"token punctuation\">(<\/span>\n    model<span class=\"token punctuation\">,<\/span>\n    r <span class=\"token operator\">=<\/span> <span class=\"token number\">8<\/span><span class=\"token punctuation\">,<\/span>  \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>\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>\n    lora_alpha <span class=\"token operator\">=<\/span> <span class=\"token number\">16<\/span><span class=\"token punctuation\">,<\/span>\n    lora_dropout <span class=\"token operator\">=<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span>  \n    bias <span class=\"token operator\">=<\/span> <span class=\"token string\">\"none\"<\/span><span class=\"token punctuation\">,<\/span>\n    use_gradient_checkpointing <span class=\"token operator\">=<\/span> <span class=\"token string\">\"unsloth\"<\/span><span class=\"token punctuation\">,<\/span>  \n    random_state <span class=\"token operator\">=<\/span> <span class=\"token number\">3407<\/span><span class=\"token punctuation\">,<\/span>\n    use_rslora <span class=\"token operator\">=<\/span> <span class=\"token boolean\">False<\/span><span class=\"token punctuation\">,<\/span>\n    loftq_config <span class=\"token operator\">=<\/span> <span class=\"token boolean\">None<\/span><span class=\"token punctuation\">,<\/span>\n<span class=\"token punctuation\">)<\/span>\n<\/code><\/pre>\n<\/div>\n<h2 id=\"%F0%9F%A7%A0-%E6%8E%A8%E8%AB%96%E5%8A%AA%E5%8A%9B%E3%83%AC%E3%83%99%E3%83%AB%EF%BC%88reasoning-effort%EF%BC%89\" data-line=\"97\" class=\"code-line\">\n \ud83e\udde0 \u63a8\u8ad6\u52aa\u529b\u30ec\u30d9\u30eb\uff08Reasoning Effort\uff09<\/h2>\n<p data-line=\"99\" class=\"code-line\">GPT-OSS\u30e2\u30c7\u30eb\u306e\u7279\u5fb4\u7684\u306a\u6a5f\u80fd\u3068\u3057\u3066\u3001\u300c\u63a8\u8ad6\u52aa\u529b\u30ec\u30d9\u30eb\u300d\u3092\u8abf\u6574\u3067\u304d\u307e\u3059\uff1a<\/p>\n<h3 id=\"3%E3%81%A4%E3%81%AE%E3%83%AC%E3%83%99%E3%83%AB\" data-line=\"101\" class=\"code-line\">\n 3\u3064\u306e\u30ec\u30d9\u30eb<\/h3>\n<ul data-line=\"103\" class=\"code-line\">\n<li data-line=\"103\" class=\"code-line\">\n<strong>Low\uff08\u4f4e\uff09<\/strong>: \u9ad8\u901f\u30ec\u30b9\u30dd\u30f3\u30b9\u512a\u5148\u3001\u5358\u7d14\u306a\u30bf\u30b9\u30af\u5411\u3051<\/li>\n<li data-line=\"104\" class=\"code-line\">\n<strong>Medium\uff08\u4e2d\uff09<\/strong>: \u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u901f\u5ea6\u306e\u30d0\u30e9\u30f3\u30b9<\/li>\n<li data-line=\"105\" class=\"code-line\">\n<strong>High\uff08\u9ad8\uff09<\/strong>: \u6700\u9ad8\u306e\u63a8\u8ad6\u6027\u80fd\u3001\u8907\u96d1\u306a\u30bf\u30b9\u30af\u5411\u3051\uff08\u30ec\u30a4\u30c6\u30f3\u30b7\u30fc\u5897\uff09<\/li>\n<\/ul>\n<h3 id=\"%E4%BD%BF%E7%94%A8%E4%BE%8B\" data-line=\"107\" class=\"code-line\">\n \u4f7f\u7528\u4f8b<\/h3>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"109\"><span class=\"token keyword\">from<\/span> transformers <span class=\"token keyword\">import<\/span> TextStreamer\n\nmessages <span class=\"token operator\">=<\/span> <span class=\"token punctuation\">[<\/span>\n    <span class=\"token punctuation\">{<\/span><span class=\"token string\">\"role\"<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">\"user\"<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">\"content\"<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">\"x^5 + 3x^4 - 10 = 3\u3092\u89e3\u3044\u3066\u304f\u3060\u3055\u3044\u3002\"<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span>\n<span class=\"token punctuation\">]<\/span>\n\n\ninputs <span class=\"token operator\">=<\/span> tokenizer<span class=\"token punctuation\">.<\/span>apply_chat_template<span class=\"token punctuation\">(<\/span>\n    messages<span class=\"token punctuation\">,<\/span>\n    add_generation_prompt <span class=\"token operator\">=<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span>\n    return_tensors <span class=\"token operator\">=<\/span> <span class=\"token string\">\"pt\"<\/span><span class=\"token punctuation\">,<\/span>\n    return_dict <span class=\"token operator\">=<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span>\n    reasoning_effort <span class=\"token operator\">=<\/span> <span class=\"token string\">\"medium\"<\/span><span class=\"token punctuation\">,<\/span>  \n<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span>model<span class=\"token punctuation\">.<\/span>device<span class=\"token punctuation\">)<\/span>\n\n_ <span class=\"token operator\">=<\/span> model<span class=\"token punctuation\">.<\/span>generate<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\">1024<\/span><span class=\"token punctuation\">,<\/span> streamer <span class=\"token operator\">=<\/span> TextStreamer<span class=\"token punctuation\">(<\/span>tokenizer<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span>\n<\/code><\/pre>\n<\/div>\n<h2 id=\"%F0%9F%93%8A-%E3%83%87%E3%83%BC%E3%82%BF%E6%BA%96%E5%82%99\" data-line=\"128\" class=\"code-line\">\n \ud83d\udcca \u30c7\u30fc\u30bf\u6e96\u5099<\/h2>\n<h3 id=\"%E5%A4%9A%E8%A8%80%E8%AA%9E%E6%8E%A8%E8%AB%96%E3%83%87%E3%83%BC%E3%82%BF%E3%82%BB%E3%83%83%E3%83%88%E3%81%AE%E4%BD%BF%E7%94%A8\" data-line=\"130\" class=\"code-line\">\n \u591a\u8a00\u8a9e\u63a8\u8ad6\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4f7f\u7528<\/h3>\n<p data-line=\"132\" class=\"code-line\">HuggingFace\u306e<code>Multilingual-Thinking<\/code>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f\u3001\u82f1\u8a9e\u304b\u30894\u3064\u306e\u8a00\u8a9e\u306b\u7ffb\u8a33\u3055\u308c\u305f\u63a8\u8ad6\u30c1\u30a7\u30fc\u30f3\u30fb\u30aa\u30d6\u30fb\u30bd\u30fc\u30c8\uff08CoT\uff09\u306e\u4f8b\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\uff1a<\/p>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"134\"><span class=\"token keyword\">from<\/span> datasets <span class=\"token keyword\">import<\/span> load_dataset\n<span class=\"token keyword\">from<\/span> unsloth<span class=\"token punctuation\">.<\/span>chat_templates <span class=\"token keyword\">import<\/span> standardize_sharegpt\n\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">formatting_prompts_func<\/span><span class=\"token punctuation\">(<\/span>examples<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>\n    convos <span class=\"token operator\">=<\/span> examples<span class=\"token punctuation\">[<\/span><span class=\"token string\">\"messages\"<\/span><span class=\"token punctuation\">]<\/span>\n    texts <span class=\"token operator\">=<\/span> <span class=\"token punctuation\">[<\/span>tokenizer<span class=\"token punctuation\">.<\/span>apply_chat_template<span class=\"token punctuation\">(<\/span>convo<span class=\"token punctuation\">,<\/span> tokenize<span class=\"token operator\">=<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">,<\/span> add_generation_prompt<span class=\"token operator\">=<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">)<\/span>\n             <span class=\"token keyword\">for<\/span> convo <span class=\"token keyword\">in<\/span> convos<span class=\"token punctuation\">]<\/span>\n    <span class=\"token keyword\">return<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string\">\"text\"<\/span><span class=\"token punctuation\">:<\/span> texts<span class=\"token punctuation\">}<\/span>\n\n\ndataset <span class=\"token operator\">=<\/span> load_dataset<span class=\"token punctuation\">(<\/span><span class=\"token string\">\"HuggingFaceH4\/Multilingual-Thinking\"<\/span><span class=\"token punctuation\">,<\/span> split<span class=\"token operator\">=<\/span><span class=\"token string\">\"train\"<\/span><span class=\"token punctuation\">)<\/span>\n\n\ndataset <span class=\"token operator\">=<\/span> standardize_sharegpt<span class=\"token punctuation\">(<\/span>dataset<span class=\"token punctuation\">)<\/span>\ndataset <span class=\"token operator\">=<\/span> dataset<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">map<\/span><span class=\"token punctuation\">(<\/span>formatting_prompts_func<span class=\"token punctuation\">,<\/span> batched<span class=\"token operator\">=<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span>\n\n\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>dataset<span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">'text'<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span>\n<\/code><\/pre>\n<\/div>\n<h2 id=\"%F0%9F%8F%8B%EF%B8%8F-%E3%83%A2%E3%83%87%E3%83%AB%E3%81%AE%E8%A8%93%E7%B7%B4\" data-line=\"155\" class=\"code-line\">\n \ud83c\udfcb\ufe0f \u30e2\u30c7\u30eb\u306e\u8a13\u7df4<\/h2>\n<h3 id=\"sfttrainer%E3%81%AE%E8%A8%AD%E5%AE%9A\" data-line=\"157\" class=\"code-line\">\n SFTTrainer\u306e\u8a2d\u5b9a<\/h3>\n<p data-line=\"159\" class=\"code-line\">HuggingFace TRL\u306e<code>SFTTrainer<\/code>\u3092\u4f7f\u7528\u3057\u3066\u8a13\u7df4\u3092\u884c\u3044\u307e\u3059\uff1a<\/p>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"161\"><span class=\"token keyword\">from<\/span> trl <span class=\"token keyword\">import<\/span> SFTConfig<span class=\"token punctuation\">,<\/span> SFTTrainer\n<span class=\"token keyword\">from<\/span> transformers <span class=\"token keyword\">import<\/span> DataCollatorForSeq2Seq\n\ntrainer <span class=\"token operator\">=<\/span> SFTTrainer<span class=\"token punctuation\">(<\/span>\n    model <span class=\"token operator\">=<\/span> model<span class=\"token punctuation\">,<\/span>\n    tokenizer <span class=\"token operator\">=<\/span> tokenizer<span class=\"token punctuation\">,<\/span>\n    train_dataset <span class=\"token operator\">=<\/span> dataset<span class=\"token punctuation\">,<\/span>\n    args <span class=\"token operator\">=<\/span> SFTConfig<span class=\"token punctuation\">(<\/span>\n        per_device_train_batch_size <span class=\"token operator\">=<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span>  \n        gradient_accumulation_steps <span class=\"token operator\">=<\/span> <span class=\"token number\">4<\/span><span class=\"token punctuation\">,<\/span>\n        warmup_steps <span class=\"token operator\">=<\/span> <span class=\"token number\">5<\/span><span class=\"token punctuation\">,<\/span>\n        max_steps <span class=\"token operator\">=<\/span> <span class=\"token number\">60<\/span><span class=\"token punctuation\">,<\/span>  \n        learning_rate <span class=\"token operator\">=<\/span> <span class=\"token number\">2e-4<\/span><span class=\"token punctuation\">,<\/span>\n        logging_steps <span class=\"token operator\">=<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span>\n        optim <span class=\"token operator\">=<\/span> <span class=\"token string\">\"adamw_8bit\"<\/span><span class=\"token punctuation\">,<\/span>\n        weight_decay <span class=\"token operator\">=<\/span> <span class=\"token number\">0.01<\/span><span class=\"token punctuation\">,<\/span>\n        lr_scheduler_type <span class=\"token operator\">=<\/span> <span class=\"token string\">\"linear\"<\/span><span class=\"token punctuation\">,<\/span>\n        seed <span class=\"token operator\">=<\/span> <span class=\"token number\">3407<\/span><span class=\"token punctuation\">,<\/span>\n        output_dir <span class=\"token operator\">=<\/span> <span class=\"token string\">\"outputs\"<\/span><span class=\"token punctuation\">,<\/span>\n        report_to <span class=\"token operator\">=<\/span> <span class=\"token string\">\"none\"<\/span><span class=\"token punctuation\">,<\/span>  \n    <span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span>\n<span class=\"token punctuation\">)<\/span>\n<\/code><\/pre>\n<\/div>\n<h3 id=\"%E3%83%A1%E3%83%A2%E3%83%AA%E4%BD%BF%E7%94%A8%E7%8A%B6%E6%B3%81%E3%81%AE%E7%A2%BA%E8%AA%8D\" data-line=\"186\" class=\"code-line\">\n \u30e1\u30e2\u30ea\u4f7f\u7528\u72b6\u6cc1\u306e\u78ba\u8a8d<\/h3>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"188\">\ngpu_stats <span class=\"token operator\">=<\/span> torch<span class=\"token punctuation\">.<\/span>cuda<span class=\"token punctuation\">.<\/span>get_device_properties<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span>\nstart_gpu_memory <span class=\"token operator\">=<\/span> <span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span>torch<span class=\"token punctuation\">.<\/span>cuda<span class=\"token punctuation\">.<\/span>max_memory_reserved<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">1024<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">1024<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">1024<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span>\nmax_memory <span class=\"token operator\">=<\/span> <span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span>gpu_stats<span class=\"token punctuation\">.<\/span>total_memory <span class=\"token operator\">\/<\/span> <span class=\"token number\">1024<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">1024<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">1024<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f\"GPU = <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>gpu_stats<span class=\"token punctuation\">.<\/span>name<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">. \u6700\u5927\u30e1\u30e2\u30ea = <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>max_memory<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> GB.\"<\/span><\/span><span class=\"token punctuation\">)<\/span>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f\"<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>start_gpu_memory<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> GB \u306e\u30e1\u30e2\u30ea\u304c\u4e88\u7d04\u3055\u308c\u3066\u3044\u307e\u3059\u3002\"<\/span><\/span><span class=\"token punctuation\">)<\/span>\n<\/code><\/pre>\n<\/div>\n<h3 id=\"%E8%A8%93%E7%B7%B4%E3%81%AE%E5%AE%9F%E8%A1%8C\" data-line=\"197\" class=\"code-line\">\n \u8a13\u7df4\u306e\u5b9f\u884c<\/h3>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"199\">\ntrainer_stats <span class=\"token operator\">=<\/span> trainer<span class=\"token punctuation\">.<\/span>train<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span>\n\n\nused_memory <span class=\"token operator\">=<\/span> <span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span>torch<span class=\"token punctuation\">.<\/span>cuda<span class=\"token punctuation\">.<\/span>max_memory_reserved<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">1024<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">1024<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token number\">1024<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span>\nused_memory_for_lora <span class=\"token operator\">=<\/span> <span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span>used_memory <span class=\"token operator\">-<\/span> start_gpu_memory<span class=\"token punctuation\">,<\/span> <span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f\"\u8a13\u7df4\u6642\u9593: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span>trainer_stats<span class=\"token punctuation\">.<\/span>metrics<span class=\"token punctuation\">[<\/span><span class=\"token string\">'train_runtime'<\/span><span class=\"token punctuation\">]<\/span><span class=\"token operator\">\/<\/span><span class=\"token number\">60<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> \u5206\"<\/span><\/span><span class=\"token punctuation\">)<\/span>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f\"\u30d4\u30fc\u30af\u4f7f\u7528\u30e1\u30e2\u30ea: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>used_memory<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> GB\"<\/span><\/span><span class=\"token punctuation\">)<\/span>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f\"LoRA\u8a13\u7df4\u7528\u30e1\u30e2\u30ea: <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>used_memory_for_lora<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> GB\"<\/span><\/span><span class=\"token punctuation\">)<\/span>\n<\/code><\/pre>\n<\/div>\n<h2 id=\"%F0%9F%94%AE-%E6%8E%A8%E8%AB%96%E3%81%AE%E5%AE%9F%E8%A1%8C\" data-line=\"211\" class=\"code-line\">\n \ud83d\udd2e \u63a8\u8ad6\u306e\u5b9f\u884c<\/h2>\n<p data-line=\"213\" class=\"code-line\">\u8a13\u7df4\u6e08\u307f\u30e2\u30c7\u30eb\u3067\u63a8\u8ad6\u3092\u5b9f\u884c\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"code-block-container\">\n<pre class=\"language-python\"><code class=\"language-python code-line\" data-line=\"215\">messages <span class=\"token operator\">=<\/span> <span class=\"token punctuation\">[<\/span>\n    <span class=\"token punctuation\">{<\/span>\n        <span class=\"token string\">\"role\"<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">\"system\"<\/span><span class=\"token punctuation\">,<\/span>\n        <span class=\"token string\">\"content\"<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">\"reasoning language: French\\n\\n\u3042\u306a\u305f\u306f\u6570\u5b66\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3067\u304d\u308b\u6709\u7528\u306a\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002\"<\/span>\n    <span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span>\n    <span class=\"token punctuation\">{<\/span><span class=\"token string\">\"role\"<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">\"user\"<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">\"content\"<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">\"x^5 + 3x^4 - 10 = 3\u3092\u89e3\u3044\u3066\u304f\u3060\u3055\u3044\u3002\"<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span>\n<span class=\"token punctuation\">]<\/span>\n\ninputs <span class=\"token operator\">=<\/span> tokenizer<span class=\"token punctuation\">.<\/span>apply_chat_template<span class=\"token punctuation\">(<\/span>\n    messages<span class=\"token punctuation\">,<\/span>\n    add_generation_prompt <span class=\"token operator\">=<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span>\n    return_tensors <span class=\"token operator\">=<\/span> <span class=\"token string\">\"pt\"<\/span><span class=\"token punctuation\">,<\/span>\n    return_dict <span class=\"token operator\">=<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span>\n    reasoning_effort <span class=\"token operator\">=<\/span> <span class=\"token string\">\"medium\"<\/span><span class=\"token punctuation\">,<\/span>\n<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>to<span class=\"token punctuation\">(<\/span>model<span class=\"token punctuation\">.<\/span>device<span class=\"token punctuation\">)<\/span>\n\n<span class=\"token keyword\">from<\/span> transformers <span class=\"token keyword\">import<\/span> TextStreamer\n_ <span class=\"token operator\">=<\/span> model<span class=\"token punctuation\">.<\/span>generate<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\">2048<\/span><span class=\"token punctuation\">,<\/span> streamer <span class=\"token operator\">=<\/span> TextStreamer<span class=\"token punctuation\">(<\/span>tokenizer<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span>\n<\/code><\/pre>\n<\/div>\n<h2 id=\"%F0%9F%92%A1-%E9%87%8D%E8%A6%81%E3%81%AA%E3%83%9D%E3%82%A4%E3%83%B3%E3%83%88\" data-line=\"236\" class=\"code-line\">\n \ud83d\udca1 \u91cd\u8981\u306a\u30dd\u30a4\u30f3\u30c8<\/h2>\n<h3 id=\"%E3%83%A1%E3%83%A2%E3%83%AA%E6%9C%80%E9%81%A9%E5%8C%96%E3%81%AE%E3%83%92%E3%83%B3%E3%83%88\" data-line=\"238\" class=\"code-line\">\n \u30e1\u30e2\u30ea\u6700\u9069\u5316\u306e\u30d2\u30f3\u30c8<\/h3>\n<ol data-line=\"240\" class=\"code-line\">\n<li data-line=\"240\" class=\"code-line\">\n<strong>L4 GPU\uff0822GB\uff09\u304c\u5fc5\u8981<\/strong>: T4\u3067\u306f\u52d5\u4f5c\u3057\u307e\u305b\u3093<\/li>\n<li data-line=\"241\" class=\"code-line\">\n<strong>\u30d0\u30c3\u30c1\u30b5\u30a4\u30ba\u306f1\u306b\u8a2d\u5b9a<\/strong>: \u30e1\u30e2\u30ea\u5236\u9650\u3092\u8003\u616e<\/li>\n<li data-line=\"242\" class=\"code-line\">\n<strong>gradient_accumulation_steps=4<\/strong>: \u52b9\u679c\u7684\u306a\u30d0\u30c3\u30c1\u30b5\u30a4\u30ba\u3092\u5897\u3084\u3059<\/li>\n<li data-line=\"243\" class=\"code-line\">\n<strong>Unsloth\u306egradient checkpointing<\/strong>: 30%\u306eVRAM\u524a\u6e1b<\/li>\n<\/ol>\n<h3 id=\"%E3%83%91%E3%83%95%E3%82%A9%E3%83%BC%E3%83%9E%E3%83%B3%E3%82%B9%E7%B5%B1%E8%A8%88%EF%BC%88l4-gpu%E3%81%A7%E3%81%AE%E5%AE%9F%E6%B8%AC%E5%80%A4%EF%BC%89\" data-line=\"245\" class=\"code-line\">\n \u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u7d71\u8a08\uff08L4 GPU\u3067\u306e\u5b9f\u6e2c\u5024\uff09<\/h3>\n<ul data-line=\"247\" class=\"code-line\">\n<li data-line=\"247\" class=\"code-line\">\u8a13\u7df4\u6642\u9593: \u7d0424\u5206\uff0860\u30b9\u30c6\u30c3\u30d7\uff09<\/li>\n<li data-line=\"248\" class=\"code-line\">\u30d4\u30fc\u30af\u30e1\u30e2\u30ea\u4f7f\u7528\u91cf: \u7d0421.9GB<\/li>\n<li data-line=\"249\" class=\"code-line\">LoRA\u8a13\u7df4\u7528\u30e1\u30e2\u30ea: \u7d049.1GB<\/li>\n<li data-line=\"250\" class=\"code-line\">\u30e1\u30e2\u30ea\u4f7f\u7528\u7387: \u7d0498.7%<\/li>\n<\/ul>\n<h2 id=\"%F0%9F%94%97-%E3%81%9D%E3%81%AE%E4%BB%96%E3%81%AE%E3%83%AA%E3%82%BD%E3%83%BC%E3%82%B9\" data-line=\"252\" class=\"code-line\">\n \ud83d\udd17 \u305d\u306e\u4ed6\u306e\u30ea\u30bd\u30fc\u30b9<\/h2>\n<h2 id=\"%F0%9F%93%9D-%E3%81%BE%E3%81%A8%E3%82%81\" data-line=\"259\" class=\"code-line\">\n \ud83d\udcdd \u307e\u3068\u3081<\/h2>\n<p data-line=\"261\" class=\"code-line\">\u3053\u306e\u30ac\u30a4\u30c9\u3067\u306f\u3001Google Colab L4 GPU\u3092\u4f7f\u7528\u3057\u3066OpenAI\u306eGPT-OSS 20B\u30e2\u30c7\u30eb\u3092\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u65b9\u6cd5\u3092\u89e3\u8aac\u3057\u307e\u3057\u305f\u3002Unsloth\u3068LoRA\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u3067\u3001\u9650\u3089\u308c\u305f\u30ea\u30bd\u30fc\u30b9\u3067\u3082\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u8a13\u7df4\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<p data-line=\"263\" class=\"code-line\">\u8cea\u554f\u304c\u3042\u308b\u5834\u5408\u306f\u3001<a target=\"_blank\" href=\"https:\/\/discord.gg\/unsloth\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Unsloth Discord<\/a>\u3067\u304a\u6c17\u8efd\u306b\u304a\u5c0b\u306d\u304f\u3060\u3055\u3044\uff01<\/p>\n<hr data-line=\"265\" class=\"code-line\"\/>\n<div class=\"align-center\">\n<a target=\"_blank\" href=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/unsloth.ai<\/a>&#8220;&gt;<img decoding=\"async\" src=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\/>https:\/\/github.com\/unslothai\/unsloth\/raw\/main\/images\/unsloth new logo.png&#8221; width=&#8221;115&#8243;&gt;<br \/>\n<a target=\"_blank\" href=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/discord.gg\/unsloth<\/a>&#8220;&gt;<img decoding=\"async\" src=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/&lt;a href=\" https:=\"\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\/>https:\/\/github.com\/unslothai\/unsloth\/raw\/main\/images\/Discord.png&#8221; width=&#8221;145&#8243;&gt;<\/p>\n<p data-line=\"271\" class=\"code-line\">Discord\u3067\u30b5\u30dd\u30fc\u30c8\u3092\u53d7\u3051\u308b + \u2b50\ufe0f <a target=\"_blank\" href=\"https:\/\/github.com\/unslothai\/unsloth\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Github<\/a>\u3067\u30b9\u30bf\u30fc\u3092\u3064\u3051\u308b \u2b50\ufe0f<\/p>\n<\/div>\n<h2 id=\"%F0%9F%93%92%E3%83%8E%E3%83%BC%E3%83%88%E3%83%96%E3%83%83%E3%82%AF\" data-line=\"275\" class=\"code-line\">\n \ud83d\udcd2\u30ce\u30fc\u30c8\u30d6\u30c3\u30af<\/h2>\n<p data-line=\"277\" class=\"code-line\"><span class=\"embed-block zenn-embedded zenn-embedded-card\"><iframe id=\"zenn-embedded__5108a238e8884\" src=\"https:\/\/embed.zenn.studio\/card#zenn-embedded__5108a238e8884\" data-content=\"https%3A%2F%2Fcolab.research.google.com%2Fdrive%2F15emMlsfhtKIIVlmHGSPinDb5fN5PYadv%3Fusp%3Dsharing\" frameborder=\"0\" scrolling=\"no\" loading=\"lazy\"><\/iframe><\/span><a target=\"_blank\" href=\"https:\/\/colab.research.google.com\/drive\/15emMlsfhtKIIVlmHGSPinDb5fN5PYadv?usp=sharing\" style=\"display:none\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">https:\/\/colab.research.google.com\/drive\/15emMlsfhtKIIVlmHGSPinDb5fN5PYadv?usp=sharing<\/a><\/p>\n<\/div>\n\n<br \/><a href=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/openai-gpt-oss-20b-fine-tuning\">\u5143\u306e\u8a18\u4e8b\u3092\u78ba\u8a8d\u3059\u308b <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"\ud83d\ude80 \u306f\u3058\u3081\u306b \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001OpenAI\u306e\u6700\u65b0\u30e2\u30c7\u30ebGPT-OSS 20B\u3092Google Colab L4 GPU\uff0822GB VRAM\uff09\u3067\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u65b9\u6cd5\u3092\u89e3\u8aac\u3057\u307e\u3059\u3002Unsloth\u30e9\u30a4\u30d6\u30e9\u30ea\u3068Lo [&hellip;]","protected":false},"author":1,"featured_media":18807,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2],"tags":[],"class_list":["post-18806","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hatena-blog"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>OpenAI GPT-OSS 20B\u30e2\u30c7\u30eb\u306e\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u5b8c\u5168\u30ac\u30a4\u30c9 - \u30dd\u30b1\u30b3\u30f3<\/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:\/\/zenn.dev\/sunwood_ai_labs\/articles\/openai-gpt-oss-20b-fine-tuning\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenAI GPT-OSS 20B\u30e2\u30c7\u30eb\u306e\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u5b8c\u5168\u30ac\u30a4\u30c9 - \u30dd\u30b1\u30b3\u30f3\" \/>\n<meta property=\"og:description\" content=\"\ud83d\ude80 \u306f\u3058\u3081\u306b \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001OpenAI\u306e\u6700\u65b0\u30e2\u30c7\u30ebGPT-OSS 20B\u3092Google Colab L4 GPU\uff0822GB VRAM\uff09\u3067\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u65b9\u6cd5\u3092\u89e3\u8aac\u3057\u307e\u3059\u3002Unsloth\u30e9\u30a4\u30d6\u30e9\u30ea\u3068Lo [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/zenn.dev\/sunwood_ai_labs\/articles\/openai-gpt-oss-20b-fine-tuning\" \/>\n<meta property=\"og:site_name\" content=\"\u30dd\u30b1\u30b3\u30f3\" \/>\n<meta property=\"article:published_time\" content=\"2025-10-26T03:35:08+00:00\" \/>\n<meta property=\"og:image\" 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