{"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fbwgift.hatenadiary.jp%2Fentry%2F2024%2F12%2F31%2F141918\" title=\"\u30e1\u30e2\uff1agranite3.1-dense\u306eFineturing(LoRA)\u3092Colab\u3067\u3084\u3063\u3066\u307f\u308b\u3002 - \u5730\u5e73\u7dda\u307e\u3067\u884c\u3063\u3066\u304f\u308b\u3002\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_title":"\u5730\u5e73\u7dda\u307e\u3067\u884c\u3063\u3066\u304f\u308b\u3002","url":"https://bwgift.hatenadiary.jp/entry/2024/12/31/141918","description":"IBM\u304c\u516c\u958b\u3057\u3066\u3044\u308b\u30e2\u30c7\u30ebgranite\u304c\u3044\u3064\u306e\u9593\u306b\u304b3.1\u306b\u306a\u3063\u3066\u3044\u307e\u3057\u305f\u3002\u305d\u306e\u307e\u307e\u8a66\u3057\u3066\u3082\u9762\u767d\u304f\u306a\u3044\u306e\u3067\u3001granite-3.1-2b-instruct\u306e\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3092LoRA\u3067\u5b9f\u65bd\u3057\u3066\u307f\u307e\u3059\u3002\u4e01\u5be7\u306bcookbook\u3068\u3057\u3066\u3001\u57fa\u672c\u7684\u306a\u30b3\u30fc\u30c9\u304c\u516c\u958b\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u3042\u308a\u304c\u305f\u304f\u5229\u7528\u3057\u307e\u3059\u3002granite3.0\u304b\u3089\u5909\u66f4\u3055\u308c\u3066\u306a\u3044\u3053\u3068\u3068\u3001\u305d\u306e\u307e\u307e\u3067\u306f\u591a\u5c11\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3059\u308b\u306e\u3067\u3001\u9069\u5b9cFix\u3057\u3066\u4f7f\u3063\u3066\u3044\u307e\u3059\u3002 Colab T4\u74b0\u5883\u3092\u5229\u7528\u3057\u307e\u3057\u305f\u3002 \u7d50\u679c\uff1a \u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u5f8c\u306b\u306f\u8a00\u3044\u56de\u3057\u304c\u5909\u66f4\u3055\u308c\u3001\u82f1\u8a9e\u3067\u306e\u56de\u7b54\u3082\u65e5\u672c\u8a9e\u3068\u306a\u308a\u307e\u3057\u305f\u3002LoRA\u306b\u306f\u9650\u754c\u3042\u308b\u3068\u306f\u601d\u3044\u307e\u3059\u304c\u3001\u3044\u3044\u611f\u3058\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u3042\u308c\u3070\u3001\u2026","author_url":"https://blog.hatena.ne.jp/bwgift/","title":"\u30e1\u30e2\uff1agranite3.1-dense\u306eFineturing(LoRA)\u3092Colab\u3067\u3084\u3063\u3066\u307f\u308b\u3002","provider_url":"https://hatena.blog","type":"rich","version":"1.0","published":"2024-12-31 14:19:18","categories":["LLM","Colaboratory","Python","\u81ea\u7136\u8a00\u8a9e\u51e6\u7406"],"height":"190","provider_name":"Hatena Blog","width":"100%","image_url":null,"blog_url":"https://bwgift.hatenadiary.jp/","author_name":"bwgift"}