{"id":71494,"date":"2024-04-16T09:30:00","date_gmt":"2024-04-16T00:30:00","guid":{"rendered":"https:\/\/www.creationline.com\/?p=71494"},"modified":"2024-04-16T09:56:40","modified_gmt":"2024-04-16T00:56:40","slug":"%e3%81%8a%e3%81%86%e3%81%a1%e3%81%a7chatgpt%e3%82%84%e3%81%a3%e3%81%a6%e3%81%bf%e3%81%9f%e3%81%84%ef%bc%81-%e3%83%ad%e3%83%bc%e3%82%ab%e3%83%abllm%e5%a4%a7%e8%a6%8f%e6%a8%a1%e8%a8%80%e8%aa%9e","status":"publish","type":"post","link":"https:\/\/www.creationline.com\/tech-blog\/chatgpt-ai\/ai\/71494","title":{"rendered":"\u304a\u3046\u3061\u3067ChatGPT\u3084\u3063\u3066\u307f\u305f\u3044\uff01 \u30ed\u30fc\u30ab\u30ebLLM(\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb)\u306f\u3069\u3053\u307e\u3067\u3067\u304d\u308b\u304b\uff1f #ai"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">\u306f\u3058\u3081\u306b<\/h2>\n\n\n\n<p><a href=\"https:\/\/chat.openai.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">ChatGPT<\/a>\u3092\u306f\u3058\u3081\u3068\u3059\u308b\u5bfe\u8a71\u578b\u751f\u6210AI\u304c\u6ce8\u76ee\u30fb\u6d3b\u7528\u3055\u308c\u3066\u304b\u3089\u306e\u9032\u6b69\u306f\u3081\u3056\u307e\u3057\u3044\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u65b9\u3001ChatGPT \u3078\u306e\u5165\u529b\u306fAI\u306e\u5b66\u7fd2\u306b\u5229\u7528\u3055\u308c\u3046\u308b\u305f\u3081\u3001\u500b\u4eba\u60c5\u5831\u3084\u6a5f\u5bc6\u60c5\u5831\u306e\u5165\u529b\u3092\u7981\u3058\u308b\u306a\u3069\u3001\u6ce8\u610f\u304c\u5fc5\u8981\u306a\u70b9\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u500b\u4ebaPC\u3084\u5c02\u7528\u30b5\u30fc\u30d0\u3067 ChatGPT \u306b\u985e\u3059\u308b\u3082\u306e\u3092\u52d5\u304b\u3059\u3053\u3068\u304c\u3067\u304d\u308c\u3070\u3001\u5bfe\u8a71\u578b\u751f\u6210AI\u3092\u6c17\u517c\u306d\u306a\u304f\u6d3b\u7528\u3067\u304d\u308b\u306e\u306b----\u3068\u3044\u3046\u3053\u3068\u3067\u3001\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u3067\u3069\u308c\u3060\u3051\u306e\u3053\u3068\u304c\u3067\u304d\u308b\u306e\u304b\u3001\u5b9f\u969b\u306b\u8a66\u3057\u3066\u307f\u307e\u3057\u305f\u3002\u307e\u305f\u3001\u7528\u8a9e\u306a\u3069\u3082\u9010\u4e00\u7c21\u5358\u306b\u8abf\u3079\u3066\u8a18\u8f09\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u4e0d\u6b63\u78ba\u306a\u3082\u306e\u3082\u3042\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u30e2\u30c1\u30d9\u30fc\u30b7\u30e7\u30f3<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u3054\u5bb6\u5ead\u306b\u3042\u308b\u6570\u4e16\u4ee3\u524d\u306e\u30de\u30b7\u30f3\u3067\u5bfe\u8a71\u578b\u751f\u6210AI\u3092\u52d5\u4f5c\u3067\u304d\u308b\u304b<\/li>\n\n\n\n<li>\u751f\u6210\u901f\u5ea6\u306f\u3069\u306e\u304f\u3089\u3044\u304b<\/li>\n\n\n\n<li>\u751f\u6210\u7d50\u679c\u306f\u3069\u306e\u3088\u3046\u306a\u3082\u306e\u304b<\/li>\n\n\n\n<li>\u7d50\u8ad6\u3068\u3057\u3066\u300c\u4f7f\u3048\u308b\u300d\u306e\u304b<\/li>\n<\/ul>\n\n\n\n<p>\u3053\u308c\u3089\u3092\u77e5\u308a\u305f\u3044\u3068\u3044\u3046\u306e\u304c\u52d5\u6a5f\u3067\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u305d\u3082\u305d\u3082 ChatGPT \u3068\u306f<\/h2>\n\n\n\n<p>\u305d\u3082\u305d\u3082\u300cChatGPT\u300d\u3068\u306f\u4f55\u3067\u3057\u3087\u3046\u304b\uff1f<\/p>\n\n\n\n<p>\u307e\u305a\u300cChat\u300d\u3068\u306f\u3001\u300c\u304a\u3057\u3083\u3079\u308a\u300d\u3084\u300c\u4f1a\u8a71\u300d\u3068\u3044\u3046\u610f\u5473\u3067\u3059\u3002AI\u3068\u306e\u5165\u51fa\u529b\u306b\u3001\u81ea\u7136\u306a\u4f1a\u8a71\u6587\u3092\u4f7f\u7528\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u3067\u306f\u3001\u300cGPT\u300d\u3068\u306f\u4f55\u3067\u3057\u3087\u3046\u304b\uff1f GPT\u3068\u306f <a href=\"https:\/\/platform.openai.com\/docs\/introduction\/text-generation-models\" target=\"_blank\" rel=\"noreferrer noopener\">Generative Pre-trained Transformer<\/a> \u306e\u7565\u3067\u3001\u8a33\u3059\u306a\u3089\u300c\u751f\u6210\u7684\u306a\u3001\u4e8b\u524d\u5b66\u7fd2\u6e08\u307f\u306e Transformer\u300d\u3068\u306a\u308a\u307e\u3059\u3002\u300c<a href=\"https:\/\/arxiv.org\/abs\/1706.03762\" target=\"_blank\" rel=\"noreferrer noopener\">Transformer<\/a>\u300d\u3068\u306f\u7c21\u5358\u306b\u8a00\u3046\u3068\u3001\u4eba\u9593\u306e\u8133\u306e\u52d5\u304d\u3092\u6a21\u3057\u305f\u51e6\u7406\u3092\u884c\u3046\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u4e00\u7a2e\u3067\u3059\u3002\u3064\u307e\u308aGPT\u3068\u306f\u7c21\u5358\u306b\u610f\u8a33\u3059\u308c\u3070\u300c\u81ea\u7136\u306a\u6587\u7ae0\u3092\u751f\u6210\u3067\u304d\u308b\u3088\u3046\u306b\u4e8b\u524d\u306b\u5b66\u7fd2\u3092\u884c\u3063\u305f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u300d\u3068\u306a\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<p>\u3059\u306a\u308f\u3061\u300cChatGPT\u300d\u3068\u306f\u5927\u5909\u5927\u96d1\u628a\u306b\u8a00\u3048\u3070\u3001\u81ea\u7136\u306a\u8cea\u554f\u6587\u3067\u5165\u529b\u3067\u304d\u3001\u81ea\u7136\u306a\u56de\u7b54\u6587\u3067\u51fa\u529b\u3067\u304d\u308b\u3001\u4eba\u9593\u306e\u8133\u306e\u52d5\u304d\u3092\u6a21\u3057\u305f\u4ed5\u7d44\u307f\u3001\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u4f7f\u7528\u30de\u30b7\u30f3<\/h2>\n\n\n\n<p>\u672c\u7a3f\u3067\u7528\u610f\u3057\u305f\u300c\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u300d\u306e\u30b9\u30da\u30c3\u30af\u306f\u6b21\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.intel.co.jp\/content\/www\/jp\/ja\/products\/sku\/52213\/intel-core-i72600-processor-8m-cache-up-to-3-80-ghz\/specifications.html\" target=\"_blank\" rel=\"noreferrer noopener\">Intel Core i7-2600<\/a> (3.4GHz, 2011\u5e74\u767a\u58f2)<\/li>\n\n\n\n<li><a href=\"https:\/\/www.nvidia.com\/en-gb\/geforce\/graphics-cards\/geforce-gtx-1050-ti\/specifications\/\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA GeForce GTX 1050 Ti<\/a> (\u30e1\u30e2\u30ea4GB, 2016\u5e74\u767a\u58f2)<\/li>\n\n\n\n<li>\u30e1\u30e2\u30ea 32GB<\/li>\n<\/ul>\n\n\n\n<p>\u307e\u3063\u305f\u304f\u6700\u5148\u7aef\u3067\u306f\u306a\u304f\u4e00\u56de\u308a\u3082\u4e8c\u56de\u308a\u3082\u53e4\u3044\u3051\u308c\u3069\u3001\u5341\u5206\u73fe\u5f79\u3067\u4f7f\u7528\u53ef\u80fd\u306a\u30b9\u30da\u30c3\u30af\u3060\u3068\u601d\u3044\u307e\u3059\u3002NVIDIA\u306e\u30ab\u30fc\u30c9\u3082\u642d\u8f09\u3057\u3066\u3044\u308b\u3057\u2026\u3068\u601d\u3063\u3066\u3044\u305f\u3089\u3001\u5f8c\u3067\u9762\u55b0\u3089\u3046\u3053\u3068\u306b\u306a\u308b\u306e\u3067\u3059\u304c\u2026\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3068\u306f<\/h2>\n\n\n\n<p>\u3053\u3053\u3067\u4e00\u65e6\u3001\u300c\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb (Large Language Model; LLM)\u300d\u3068\u3044\u3046\u7528\u8a9e\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u307e\u305a\u300c\u8a00\u8a9e\u30e2\u30c7\u30eb (Langage Model; LM)\u300d\u3068\u306f\u7c21\u5358\u306b\u8a00\u3046\u3068\u3001\u6587\u3084\u5358\u8a9e\u306e\u4e26\u3073\u306b\u5bfe\u3059\u308b\u78ba\u7387\u3092\u5b66\u7fd2\u3057\u3001\u4e0e\u3048\u3089\u308c\u305f\u6587\u8108\u304b\u3089\u6b21\u306e\u8a00\u8449\u3092\u4e88\u6e2c\u3059\u308b\u7d71\u8a08\u7684\u306a\u4ed5\u7d44\u307f\u3067\u3059\u3002\u3053\u306e\u78ba\u7387\u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306e\u30c7\u30fc\u30bf\u304c\u6570\u5341\u5104\u4ee5\u4e0a\u3068\u3044\u3046\u975e\u5e38\u306b\u5927\u91cf\u3067\u81a8\u5927\u306a\u3082\u306e\u3092\u300c\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u300d\u3068\u547c\u3076\u3088\u3046\u3067\u3059\u3002<\/p>\n\n\n\n<p>ChatGPT \u3067\u7528\u3044\u3089\u308c\u3066\u3044\u308b\u300c<a href=\"https:\/\/platform.openai.com\/docs\/models\/gpt-4-and-gpt-4-turbo\" target=\"_blank\" rel=\"noreferrer noopener\">GPT-4<\/a>\u300d\u300c<a href=\"https:\/\/platform.openai.com\/docs\/models\/gpt-3-5-turbo\" target=\"_blank\" rel=\"noreferrer noopener\">GPT-3.5 Turbo<\/a>\u300d\u306a\u3069\u306e\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306f\u975e\u516c\u958b\u306e\u305f\u3081\u3001\u6e96\u5099\u3057\u305f\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<p>\u305d\u306e\u4e00\u65b9\u3067\u3001\u516c\u958b\u3055\u308c\u3066\u304a\u308a\u5546\u7528\u5229\u7528\u3082\u53ef\u80fd\u306a\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3068\u3057\u3066\u300c<a href=\"https:\/\/llama.meta.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Llama 2<\/a>\u300d\u3084\u3001\u300c<a href=\"https:\/\/note.com\/elyza\/m\/mafe15265d0f2\" target=\"_blank\" rel=\"noreferrer noopener\">ELYZA-japanese-Llama-2-*<\/a>\u300d\u304c\u3042\u308a\u307e\u3059\u3002\u672c\u7a3f\u3067\u306f\u3053\u3061\u3089\u3092\u4f7f\u3044\u3001\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u3067 ChatGPT \u76f8\u5f53\u306e\u3082\u306e\u304c\u5b9f\u73fe\u3067\u304d\u308b\u304b\u898b\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">ELYZA-japanese-Llama-2-*<\/h2>\n\n\n\n<p>\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb ELYZA-japanese-Llama-2-* \u3068\u306f\u3001\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb Llama 2 \u3092\u30d9\u30fc\u30b9\u306b\u65e5\u672c\u8a9e\u306b\u3088\u308b\u8ffd\u52a0\u306e\u4e8b\u524d\u5b66\u7fd2\u3092\u884c\u3063\u305f\u3082\u306e\u3067\u3001\u300c<a href=\"https:\/\/note.com\/elyza\/n\/na405acaca130\" target=\"_blank\" rel=\"noreferrer noopener\">ELYZA-japanese-Llama-2-7b<\/a>\u300d\u3068\u300c<a href=\"https:\/\/note.com\/elyza\/n\/n5d42686b60b7\" target=\"_blank\" rel=\"noreferrer noopener\">ELYZA-japanese-Llama-2-13b<\/a>\u300d\u304c\u516c\u958b\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30e2\u30c7\u30eb\u540d\u306b\u542b\u307e\u308c\u3066\u3044\u308b\u300c7b\u300d\u3068\u300c13b\u300d\u3068\u306f\u4f55\u3067\u3057\u3087\u3046\u304b\uff1f \u3053\u308c\u306f 7 billion \u3068 13 billion\u3001\u3064\u307e\u308a 70\u5104\u3068 130\u5104\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u6570\u3068\u547c\u3070\u308c\u308b\u4fc2\u6570\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u30d1\u30e9\u30e1\u30fc\u30bf\u6570\u304c\u5927\u304d\u3044\u307b\u3069\u3001\u3088\u308a\u512a\u308c\u305f\u6027\u80fd\u3092\u767a\u63ee\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u4e00\u65b9\u3001\u3088\u308a\u591a\u304f\u306e\u8a08\u7b97\u8cc7\u6e90\u3092\u5fc5\u8981\u3068\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u30d1\u30e9\u30e1\u30fc\u30bf\u6570\u3068\u5fc5\u8981\u306a\u8a08\u7b97\u8cc7\u6e90\u306e\u91cf<\/h2>\n\n\n\n<p>70\u5104\u306b 130\u5104\u3068\u3001\u6587\u5b57\u901a\u308a\u6841\u5916\u308c\u306e\u6570\u3067\u3059\u3002ELYZA-japanese-Llama-2-* \u304c\u5fc5\u8981\u3068\u3059\u308b\u8a08\u7b97\u8cc7\u6e90\u306f\u3069\u308c\u304f\u3089\u3044\u3067\u3057\u3087\u3046\u304b\uff1f<\/p>\n\n\n\n<p>\u307e\u305a\u30d5\u30a1\u30a4\u30eb\u30b5\u30a4\u30ba\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<a href=\"https:\/\/huggingface.co\/elyza\/ELYZA-japanese-Llama-2-7b\/tree\/main\" target=\"_blank\" rel=\"noreferrer noopener\">ELYZA-japanese-Llama-2-7b<\/a> \u3067\u7d04 14GB\u3001<a href=\"https:\/\/huggingface.co\/elyza\/ELYZA-japanese-Llama-2-13b\/tree\/main\" target=\"_blank\" rel=\"noreferrer noopener\">ELYZA-japanese-Llama-2-13b<\/a> \u3067\u7d04 26GB \u3068\u3001\u306a\u304b\u306a\u304b\u306e\u30d3\u30c3\u30b0\u30b5\u30a4\u30ba\u3067\u3059\u3002\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306f\u3001\u305d\u308c\u3092\u4fdd\u5b58\u3057\u3066\u304a\u304f\u30b9\u30c8\u30ec\u30fc\u30b8\u306e\u5927\u304d\u3055\u3082\u91cd\u8981\u306b\u306a\u3063\u3066\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u6b21\u306b\u3001\u5fc5\u8981\u3068\u306a\u308b GPU \u30e1\u30e2\u30ea\u6570\u306f\u3044\u304f\u3089\u3067\u3057\u3087\u3046\u304b\uff1f \u304a\u304a\u3056\u3063\u3071\u306b 7b \u306a\u3089 7GB\u300113b \u306a\u3089 13GB \u306e GPU \u30e1\u30e2\u30ea\u304c\u5fc5\u8981\u3068\u3044\u3046\u3088\u3046\u306b\u6982\u7b97\u3067\u304d\u308b\u305d\u3046\u3067\u3059\u3002\u3064\u307e\u308a\u3001\u3054\u5bb6\u5ead\u306e NVIDIA GeForce GTX 1050 Ti \u306e GPU \u30e1\u30e2\u30ea 4GB \u3067\u306f\u3001ELYZA-japanese-Llama-2-13b \u306f\u3082\u3061\u308d\u3093\u3001ELYZA-japanese-Llama-2-7b \u3082\u7121\u7406\u305d\u3046\u3067\u3059\u3002\u96f2\u884c\u304d\u304c\u602a\u3057\u304f\u306a\u3063\u3066\u304d\u307e\u3057\u305f\u2026\u3002<\/p>\n\n\n\n<p>\u3061\u306a\u307f\u306b2024\u5e743\u6708\u73fe\u5728\u3001GPU \u30e1\u30e2\u30ea 8GB \u306e\u30ab\u30fc\u30c9\u3060\u3068 5\u4e07\u5186\u300116GB \u3060\u3068 15\u4e07\u301c20\u4e07\u5186\u3059\u308b\u3082\u306e\u3082\u3042\u308a\u307e\u3057\u305f\u3002\u3053\u308c\u306f\u306a\u304b\u306a\u304b\u2026\u3054\u5bb6\u5ead\u3067\u306f\u7c21\u5358\u306b\u624b\u304c\u51fa\u307e\u305b\u3093\u3002\u30af\u30e9\u30a6\u30c9\u3067 GPU \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u5229\u7528\u3059\u308b\u3068\u3044\u3046\u624b\u3082\u3042\u308a\u307e\u3059\u304c\u3001\u3053\u3053\u3067\u306f\u4e00\u65e6\u8003\u3048\u306a\u3044\u3053\u3068\u3068\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u91cf\u5b50\u5316\u3068\u306f<\/h2>\n\n\n\n<p>\u5c11\u306a\u3044 GPU \u30e1\u30e2\u30ea\u91cf\u3067\u3082\u4f55\u3068\u304b\u306a\u3089\u306a\u3044\u3067\u3057\u3087\u3046\u304b\uff1f \u305d\u3053\u3067\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u300c\u91cf\u5b50\u5316 (Quantization)\u300d\u3068\u3044\u3046\u624b\u6cd5\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u5ff5\u306e\u305f\u3081\u3067\u3059\u304c\u300c\u91cf\u5b50\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u300d\u3068\u306f\u95a2\u4fc2\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<p>\u91cf\u5b50\u5316\u3068\u306f\u3001\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u3067\u8868\u3055\u308c\u3066\u3044\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u3001\u3088\u308a\u7cbe\u5ea6\u306e\u4f4e\u3044\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u3084\u6574\u6570\u306b\u5909\u63db\u3059\u308b\u3053\u3068\u3067\u3059\u3002\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u91cf\u5b50\u5316\u3092\u884c\u3046\u3053\u3068\u306b\u3088\u308a\u3001\u8a08\u7b97\u8cc7\u6e90\u306e\u8981\u4ef6\u3092\u4e0b\u3052\u308b\u3053\u3068\u304c\u3067\u304d\u3001\u5c11\u306a\u3044 GPU \u30e1\u30e2\u30ea\u91cf\u3067\u3082\u5229\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u305d\u306e\u4e00\u65b9\u3001\u5909\u63db\u306b\u3088\u3063\u3066\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u304c\u6301\u3063\u3066\u3044\u305f\u60c5\u5831\u306e\u4e00\u90e8\u304c\u5931\u308f\u308c\u308b\u3053\u3068\u3067\u3001\u6027\u80fd\u304c\u52a3\u5316\u3059\u308b\u53ef\u80fd\u6027\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u306a\u304a\u3001\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u91cf\u5b50\u5316\u81ea\u4f53\u306b\u3082\u5927\u304d\u306a\u8a08\u7b97\u8cc7\u6e90\u304c\u5fc5\u8981\u3068\u306a\u308b\u3053\u3068\u306b\u6ce8\u610f\u304c\u5fc5\u8981\u3067\u3059\u3002\u3064\u307e\u308a\u3001\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u3067\u91cf\u5b50\u5316\u306f\u96e3\u3057\u3044\u3068\u601d\u308f\u308c\u308b\u305f\u3081\u3001\u3042\u3089\u304b\u3058\u3081\u91cf\u5b50\u5316\u3055\u308c\u305f\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u306b\u306a\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u91cf\u5b50\u5316\u306e\u7a2e\u985e<\/h2>\n\n\n\n<p><a href=\"https:\/\/huggingface.co\/\" target=\"_blank\" rel=\"noreferrer noopener\">Hugging Face<\/a> \u306f\u3001<a href=\"https:\/\/www.gitlab.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">GitLab<\/a> \u3084 <a href=\"https:\/\/github.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">GitHub<\/a> \u306e\u3088\u3046\u306a Git \u30d9\u30fc\u30b9\u306e\u30b3\u30fc\u30c9\u30ec\u30dd\u30b8\u30c8\u30ea\u30b5\u30fc\u30d3\u30b9\u3092\u904b\u55b6\u3057\u3066\u3044\u307e\u3059\u3002\u5148\u8ff0\u306e ELYZA \u306f\u3082\u3061\u308d\u3093\u306e\u3053\u3068\u3001\u3055\u307e\u3056\u307e\u306a\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u3053\u3061\u3089\u304b\u3089\u5165\u624b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<a href=\"https:\/\/huggingface.co\/mmnga\/ELYZA-japanese-Llama-2-7b-gguf\" target=\"_blank\" rel=\"noreferrer noopener\">ELYZA-japanese-Llama-2-7b \u306e\u91cf\u5b50\u5316\u30e2\u30c7\u30eb<\/a> \u3082\u914d\u5e03\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u3001\u4eca\u56de\u306f\u3053\u3061\u3089\u3092\u5229\u7528\u3055\u305b\u3066\u3044\u305f\u3060\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<p>\u3068\u3053\u308d\u3067\u3001\u5192\u982d\u306b\u300cgguf\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u5909\u63db\u7248\u300d\u3068\u3042\u308a\u307e\u3059\u3002\u300c<a href=\"https:\/\/github.com\/ggerganov\/ggml\/blob\/master\/docs\/gguf.md\" target=\"_blank\" rel=\"noreferrer noopener\">gguf<\/a>\u300d\u3068\u306f\u4f55\u3067\u3057\u3087\u3046\u304b\uff1f \u3069\u3046\u3084\u3089\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u6271\u3044\u3084\u3059\u304f\u3059\u308b\u305f\u3081\u306e\u30d5\u30a1\u30a4\u30eb\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306e\u3088\u3046\u3067\u3059\u3002\u4f55\u306e\u982d\u6587\u5b57\u304b\u306f\u660e\u8a18\u3055\u308c\u3066\u3044\u306a\u3044\u306e\u3067\u3088\u304f\u308f\u304b\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u3002\u5c11\u306a\u304f\u3068\u3082 gg \u306f\u4f5c\u8005\u3067\u3042\u308b Georgi Gerganov \u6c0f\u306e\u30a4\u30cb\u30b7\u30e3\u30eb\u306e\u3088\u3046\u3067\u3059\u304c\u2026\u3002<\/p>\n\n\n\n<p>\u3055\u3066 <a href=\"https:\/\/huggingface.co\/mmnga\/ELYZA-japanese-Llama-2-7b-gguf\/tree\/main\" target=\"_blank\" rel=\"noreferrer noopener\">Files<\/a> \u3092\u958b\u304f\u3068\u3001\u591a\u6570\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u30d5\u30a1\u30a4\u30eb\u540d\u306e q* \u3084 K* \u306a\u3069\u306f\u4f55\u3092\u793a\u3057\u3066\u3044\u308b\u306e\u3067\u3057\u3087\u3046\u304b\uff1f<\/p>\n\n\n\n<p>\u307e\u305a\u3001q* \u306e\u6570\u5b57\u306f\u91cf\u5b50\u5316\u30d3\u30c3\u30c8\u6570\u3092\u8868\u3057\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002q2 \u306a\u3089 2\u30d3\u30c3\u30c8\u91cf\u5b50\u5316\u3001q8 \u306a\u3089 8\u30d3\u30c3\u30c8\u91cf\u5b50\u5316\u3068\u306a\u308a\u307e\u3059\u3002\u3053\u306e\u6570\u306f\u3042\u308b\u30c7\u30fc\u30bf\u3092\u4f55\u6bb5\u968e\u3067\u8868\u3059\u304b\u3001\u3068\u3044\u3046\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3064\u307e\u308a\u30012\u30d3\u30c3\u30c8\u3067\u3042\u308c\u30702\u6bb5\u968e\u30018\u30d3\u30c3\u30c8\u3067\u3042\u308c\u30708\u6bb5\u968e\u3067\u3059\u3002\u6570\u304c\u5c11\u306a\u3051\u308c\u3070\u8352\u304f\u3001\u591a\u3051\u308c\u3070\u7d30\u304b\u3044\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u6b21\u306b K \u3084 L \u3084 M \u3084 S \u306f\u4f55\u3067\u3057\u3087\u3046\u304b\uff1f K \u306f K-quantization (K\u91cf\u5b50\u5316) \u65b9\u5f0f\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002\u3067\u306f L\u30fbM\u30fbS \u306f\uff1f \u3053\u308c\u306f\u305d\u306e\u307e\u3093\u307e Large, Medium, Small \u306e\u982d\u6587\u5b57\u306e\u3088\u3046\u3067\u3001\u5927\u304d\u3044\u3082\u306e\u307b\u3069\u91cf\u5b50\u5316\u306e\u969b\u306e\u60c5\u5831\u306e\u52a3\u5316\u304c\u5c11\u306a\u3044\u3088\u3046\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u8a73\u3057\u304f\u306f\u6b21\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u6b63\u76f4\u306a\u3068\u3053\u308d\u3042\u307e\u308a\u3088\u304f\u308f\u304b\u3063\u3066\u3044\u306a\u3044\u3067\u3059\u2026\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/github.com\/ggerganov\/llama.cpp\/pull\/1684\" target=\"_blank\" rel=\"noreferrer noopener\">k-quants<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/github.com\/ggerganov\/llama.cpp\/commit\/6cbf9dfb32f0e23ed3afd02d30ab066ed53e2c4d\" target=\"_blank\" rel=\"noreferrer noopener\">llama : shorten quantization descriptions<\/a><\/li>\n<\/ul>\n\n\n\n<p>\u30d5\u30a1\u30a4\u30eb\u540d\u306e\u610f\u5473\u3059\u308b\u3068\u3053\u308d\u306f\u308f\u304b\u3063\u305f\u306e\u3067\u3001\u3069\u308c\u3092\u9078\u3079\u3070\u3088\u3044\u304b\u8003\u3048\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u3054\u5bb6\u5ead\u306eNVIDIA GeForce GTX 1050 Ti \u306e GPU \u30e1\u30e2\u30ea 4GB \u3068\u3057\u3066\u3001\u3072\u3068\u307e\u305a\u30d5\u30a1\u30a4\u30eb\u30b5\u30a4\u30ba 4GB \u672a\u6e80\u306e\u3082\u306e\u3092\u8003\u3048\u3066\u307f\u305f\u3089\u3088\u3044\u3067\u3057\u3087\u3046\u304b\uff1f \u3068\u306a\u308b\u3068\u9078\u629e\u3059\u308b\u306e\u306f\u3001<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>ELYZA-japanese-Llama-2-7b-q4_K_M.gguf (4.09 GB)<\/li>\n\n\n\n<li>ELYZA-japanese-Llama-2-7b-q4_K_S.gguf (3.86 GB)<\/li>\n\n\n\n<li>ELYZA-japanese-Llama-2-7b-q3_K_L.gguf (3.6 GB)<\/li>\n\n\n\n<li>ELYZA-japanese-Llama-2-7b-q3_K_M.gguf (3.3 GB)<\/li>\n\n\n\n<li>ELYZA-japanese-Llama-2-7b-q3_K_S.gguf (2.95 GB)<\/li>\n<\/ul>\n\n\n\n<p>\u306e\u3044\u305a\u308c\u304b\u306b\u306a\u308b\u3068\u601d\u3044\u307e\u3059\u3002GPU \u30e1\u30e2\u30ea 4GB \u3092\u8d8a\u3048\u3066\u3044\u308b q4_K_M \u306f\u3001\u53ce\u307e\u308b\u304b\u3069\u3046\u304b\u306e\u5883\u754c\u5024\u30c6\u30b9\u30c8\u7528\u3068\u3057\u3066\u9078\u629e\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">llama.cpp<\/h2>\n\n\n\n<p>\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u30d5\u30a1\u30a4\u30eb\u3060\u3051\u3067\u306f\u52d5\u304d\u307e\u305b\u3093\u3002\u300c<a href=\"https:\/\/github.com\/ggerganov\/llama.cpp\" target=\"_blank\" rel=\"noreferrer noopener\">llama.cpp<\/a>\u300d\u304b\u3089\u5229\u7528\u3057\u307e\u3057\u3087\u3046\u3002\u3055\u307e\u3056\u307e\u306a\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3067\u6700\u5c0f\u306e\u624b\u9806\u30fb\u6700\u9ad8\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3067\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u63a8\u8ad6\u304c\u3067\u304d\u308b\u3053\u3068\u3092\u76ee\u6a19\u3068\u3057\u3066\u3044\u308b\u3068\u306e\u3053\u3068\u3067\u3059\u3002\u3061\u306a\u307f\u306b llamap.cpp \u306f\u5148\u306b\u51fa\u3066\u304d\u305f gguf \u3068\u540c\u3058\u4f5c\u8005\u3067\u3042\u308b <a href=\"https:\/\/github.com\/ggerganov\" target=\"_blank\" rel=\"noreferrer noopener\">Georgi Gerganov<\/a> \u6c0f\u306e\u3082\u306e\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u3067\u306f\u3001\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u306b llama.cpp \u3092\u6e96\u5099\u3057\u307e\u3057\u3087\u3046\u3002llama.cpp \u306f\u7cbe\u529b\u7684\u306b\u958b\u767a\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u3068\u3001<a href=\"https:\/\/github.com\/ggerganov\/llama.cpp\/issues\/33#issuecomment-1465108022\" target=\"_blank\" rel=\"noreferrer noopener\">gguf (ggml) \u306e\u5b9f\u9a13\u74b0\u5883\u306e\u3088\u3046\u306a\u4f4d\u7f6e\u4ed8\u3051<\/a> \u306e\u305f\u3081\u3001\u672c\u7a3f\u306e\u624b\u9806\u901a\u308a\u306b\u306f\u52d5\u4f5c\u3057\u306a\u3044\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u518d\u5ea6\u3001\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30b9\u30da\u30c3\u30af\u3092\u898b\u3066\u307f\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Intel Core i7-2600<\/li>\n\n\n\n<li>NVIDIA GeForce GTX 1050 Ti (\u30e1\u30e2\u30ea4GB)<\/li>\n\n\n\n<li>\u30e1\u30e2\u30ea 32GB<\/li>\n<\/ul>\n\n\n\n<p>\u4eca\u56de\u306f\u3053\u3061\u3089\u306b\u6b21\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3092\u6e96\u5099\u3057\u307e\u3057\u305f\u3002\u5177\u4f53\u7684\u306a\u6e96\u5099\u624b\u9806\u306f\u672c\u7a3f\u3067\u306f\u7701\u7565\u3059\u308b\u306e\u3067\u3001\u516c\u5f0f\u30b5\u30a4\u30c8\u7b49\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.debian.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">Debian GNU\/Linux<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/wiki.debian.org\/NvidiaGraphicsDrivers\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA Accelerated Linux Graphics Driver<\/a> 525.147.05<\/li>\n\n\n\n<li><a href=\"https:\/\/wiki.debian.org\/NvidiaGraphicsDrivers\" target=\"_blank\" rel=\"noreferrer noopener\">CUDA Toolkit<\/a> 12.0.140<\/li>\n<\/ul>\n\n\n\n<p>\u6b21\u306e\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">% lsb_release -a\nNo LSB modules are available.\nDistributor ID:\tDebian\nDescription:\tDebian GNU\/Linux trixie\/sid\nRelease:\tn\/a\nCodename:\ttrixie<\/pre>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">% nvidia-smi\nWed Mar 13 13:46:02 2024\n+-----------------------------------------------------------------------------+\n| NVIDIA-SMI 525.147.05   Driver Version: 525.147.05   CUDA Version: 12.0     |\n|-------------------------------+----------------------+----------------------+\n| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n| Fan  Temp  Perf  Pwr:Usage\/Cap|         Memory-Usage | GPU-Util  Compute M. |\n|                               |                      |               MIG M. |\n|===============================+======================+======================|\n|   0  NVIDIA GeForce ...  Off  | 00000000:01:00.0  On |                  N\/A |\n| 40%   36C    P0    N\/A \/  75W |    233MiB \/  4096MiB |      3%      Default |\n|                               |                      |                  N\/A |\n+-------------------------------+----------------------+----------------------+\n\n+-----------------------------------------------------------------------------+\n| Processes:                                                                  |\n|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n|        ID   ID                                                   Usage      |\n|=============================================================================|\n|    0   N\/A  N\/A      1182      G   \/usr\/lib\/xorg\/Xorg                135MiB |\n|    0   N\/A  N\/A     62987      G   ...RendererForSitePerProcess       14MiB |\n|    0   N\/A  N\/A     63164      G   ...on=20240310-180200.292000       80MiB |\n+-----------------------------------------------------------------------------+<\/pre>\n\n\n\n<p>\u307e\u305a\u3001llama.cpp \u306f\u30c7\u30d5\u30a9\u30eb\u30c8\u8a2d\u5b9a\u3067\u30d3\u30eb\u30c9\u3057\u307e\u3059\u3002\u8a73\u7d30\u306f <a href=\"https:\/\/github.com\/ggerganov\/llama.cpp\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/ggerganov\/llama.cpp <\/a>\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">% make -j\nI ccache not found. Consider installing it for faster compilation.\nI llama.cpp build info:\nI UNAME_S:   Linux\nI UNAME_P:   unknown\nI UNAME_M:   x86_64\nI CFLAGS:    -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c11   -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wshadow -Wstrict-prototypes -Wpointer-arith -Wmissing-prototypes -Werror=implicit-int -Werror=implicit-function-declaration -pthread -march=native -mtune=native -Wdouble-promotion\nI CXXFLAGS:  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG\nI NVCCFLAGS: -std=c++11 -O3\nI LDFLAGS:\nI CC:        cc (Debian 13.2.0-18) 13.2.0\nI CXX:       g++ (Debian 13.2.0-18) 13.2.0\n(\u4e2d\u7565)<\/pre>\n\n\n\n<p>\u30d3\u30eb\u30c9\u304c\u6b63\u5e38\u306b\u5b8c\u4e86\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u306f\u3058\u3081\u3066\u306e llama.cpp + ELYZA-japanese-Llama-2-7b-*<\/h2>\n\n\n\n<p>\u3067\u306f\u3001\u65e9\u901f llama.cpp \u3092\u5b9f\u884c\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306f\u30b5\u30a4\u30ba\u306e\u5927\u304d\u3044 ELYZA-japanese-Llama-2-7b-q4_K_M.gguf \u3068\u3057\u3001\u4f1a\u8a71\u6587\u306b\u306f\u300c\u30af\u30de\u30d9\u30f3\u30c1\u300d\u3068\u547c\u3070\u308c\u308b\u3082\u306e\u3092\u5165\u529b\u3057\u3066\u307f\u307e\u3059\u3002\u306a\u304a\u3001\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306f\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u6e08\u307f\u3067\u3042\u308b\u3082\u306e\u3068\u3057\u307e\u3059(\u4ee5\u964d\u3059\u3079\u3066\u540c\u69d8\u306b\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u6e08\u307f\u3067\u3059)\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">% .\/main -m ELYZA-japanese-Llama-2-7b-q4_K_M.gguf -n 256 -e -p '[INST] &lt;&lt;SYS>>\u3042\u306a\u305f\u306f\u8aa0\u5b9f\u3067\u512a\u79c0\u306a\u65e5\u672c\u4eba\u306e\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002&lt;&lt;\/SYS>>\u30af\u30de\u304c \u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002[\/INST]'\nLog start\nmain: build = 2409 (306d34be)\nmain: built with cc (Debian 13.2.0-18) 13.2.0 for x86_64-linux-gnu\nmain: seed  = 1710466149\nllama_model_loader: loaded meta data with 21 key-value pairs and 291 tensors from ELYZA-japanese-Llama-2-7b-q4_K_M.gguf (version GGUF V2)\n(\u4e2d\u7565)\nllm_load_tensors: ggml ctx size =    0.11 MiB\nllm_load_tensors:        CPU buffer size =  2811.02 MiB\n(\u4e2d\u7565)\n [INST] &lt;&lt;SYS>>\u3042\u306a\u305f\u306f\u8aa0\u5b9f\u3067\u512a\u79c0\u306a\u65e5\u672c\u4eba\u306e\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002&lt;&lt;\/SYS>>\u30af\u30de\u304c\u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002[\/INST] \u731b\u6691\u304c\u3084\u3063\u3066\u304d\u305f\u4eca\u65e5\u3053\u306e\u9803\u2026\u305d\u3093\u306a\u4e2d\u3001\u30af\u30de\u541b\u306f\u6d77\u3078\u884c\u304d\u307e\u3057\u305f\u3002\u4f55\u6545\u304b\u3068\u8a00\u3046\u3068\u300c\u304a\u6bcd\u3055\u3093\u306b\u4f1a\u3044\u305f\u3044\u300d\u304b\u3089\u3067\u3059\u3002\u3057\u3070\u3089\u304f\u524d\u306b\u5bb6\u65cf\u3067\u7a81\u7136\u5f15\u3063\u8d8a\u3057\u3092\u3057\u3066\u3057\u307e\u3063\u305f\u306e\u3067\u3001\u305d\u308c\u4ee5\u6765\u30af\u30de\u541b\u306f\u304a\u6bcd\u3055\u3093\u306e\u3053\u3068\u304c\u6c17\u306b\u306a\u3063\u3066\u4ed5\u65b9\u304c\u3042\u308a\u307e\u305b\u3093\u3002\u305d\u3046\u3044\u3048\u3070\u5e7c\u304b\u3063\u305f\u9803\u3001\u304a\u7236\u3055\u3093\u304c\u300c\u3082\u3057\u30af\u30de\u304c\u6d77\u3078\u884c\u3051\u308b\u3088\u3046\u306b\u306a\u308c\u3070\u6050\u3089\u304f\u306f\u304a\u6bcd\u3055\u3093\u306e\u5143\u306b\u4f1a\u3046\u3053\u3068\u3060\u308d\u3046\u300d\u3068\u8a00\u3063\u3066\u307e\u3057\u305f\u3002\u305d\u308c\u3092\u8033\u306b\u3057\u305f\u30af\u30de\u541b\u306f\u5e7c\u3044\u5fc3\u306b\u300c\u79c1\u304c\u6d77\u3078\u884c\u3051\u308b\u3088\u3046\u306b\u306a\u308c\u3070\u3001\u9593\u9055\u3044\u306a\u304f\u304a\u6bcd\u3055\u3093\u306e\u5143\u306b\u4f1a\u3048\u308b\uff01\u300d\u3068\u6c7a\u610f\u3059\u308b\u306e\u3067\nllama_print_timings:        load time =    8534.41 ms\nllama_print_timings:      sample time =     156.05 ms \/   256 runs   (    0.61 ms per token,  1640.47 tokens per second)\nllama_print_timings: prompt eval time =   17892.86 ms \/   104 tokens (  172.05 ms per token,     5.81 tokens per second)\nllama_print_timings:        eval time =   73987.61 ms \/   255 runs   (  290.15 ms per token,     3.45 tokens per second)\nllama_print_timings:       total time =   92132.58 ms \/   359 tokens\nLog end<\/pre>\n\n\n\n<p>\u3068\u3044\u3046\u7d50\u679c\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u3068\u3053\u308d\u3069\u3053\u308d\u65e5\u672c\u8a9e\u306e\u6587\u6cd5\u304c\u304a\u304b\u3057\u304b\u3063\u305f\u308a\u3057\u307e\u3059\u304c\u3001\u3072\u3068\u307e\u305a\u306f\u3058\u3081\u3066\u306e llama.cpp + ELYZA-japanese-Llama-2-7b-* \u306b\u6210\u529f\u3057\u307e\u3057\u305f\uff01 \u51fa\u529b\u3055\u308c\u308b\u7d71\u8a08\u60c5\u5831\u306f <a href=\"https:\/\/github.com\/ggerganov\/llama.cpp\/discussions\/1323\" target=\"_blank\" rel=\"noreferrer noopener\">Can someone explain what are the meanings of these timings<\/a> \u306b\u3088\u308b\u3068\u3001\u6b21\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>load time : \u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u8aad\u307f\u8fbc\u307f\u6642\u9593<\/li>\n\n\n\n<li>sample time : \u6b21\u306e\u985e\u4f3c\u30c8\u30fc\u30af\u30f3\u306e\u9078\u629e\u6642\u9593<\/li>\n\n\n\n<li>prompt eval time : \u6b21\u306e\u65b0\u3057\u3044\u30c6\u30ad\u30b9\u30c8\u3092\u751f\u6210\u3059\u308b\u524d\u3001LLaMa\u306b\u3088\u308b\u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u51e6\u7406\u6642\u9593<\/li>\n\n\n\n<li>eval time : \u51fa\u529b\u306e\u751f\u6210\u6642\u9593<\/li>\n\n\n\n<li>total time : \u5408\u8a08\u6642\u9593<\/li>\n<\/ul>\n\n\n\n<p>eval time \u306b\u6ce8\u76ee\u3059\u308b\u3068\u3001\u51fa\u529b\u306f 3.45 \u30c8\u30fc\u30af\u30f3\u6bce\u79d2\u3068\u306a\u308a\u307e\u3059\u3002\u672c\u5bb6 ChatGPT \u306f\u6570\u5341\u30c8\u30fc\u30af\u30f3\u6bce\u79d2\u3089\u3057\u3044\u306e\u3067\u3001\u307e\u3063\u305f\u304f\u6bd4\u8f03\u306b\u3082\u306a\u3089\u306a\u3044\u306e\u3067\u3059\u304c\u2026\u52d5\u304f\u3053\u3068\u306f\u52d5\u304d\u307e\u3057\u305f\uff01<\/p>\n\n\n\n<p>\u306a\u304a\u3001\u5b9f\u306f\u3053\u308c\u306f GPU \u3092\u4f7f\u3063\u3066\u3044\u307e\u305b\u3093\u3002llama.cpp \u3092 GPU \u6709\u52b9\u3067\u518d\u30d3\u30eb\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">GPU \u3092\u4f7f\u3063\u305f llama.cpp + ELYZA-japanese-Llama-2-7b-*<\/h2>\n\n\n\n<p>\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u306f NVIDIA GeForce GTX 1050 Ti \u3067\u3042\u308a\u3001CUDA Toolkit 12.0.140 \u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u6e08\u307f\u306a\u306e\u3067\u3001<a href=\"https:\/\/github.com\/ggerganov\/llama.cpp?tab=readme-ov-file#cublas\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/ggerganov\/llama.cpp?tab=readme-ov-file#cublas<\/a> \u306e\u624b\u9806\u306b\u5f93\u3044 llama.cpp \u3092 cuBLAS \u3092\u6709\u52b9\u306b\u3057\u3066\u518d\u30d3\u30eb\u30c9\u3057\u307e\u3059\u3002\u306a\u304a\u3001llama.cpp \u306f\u958b\u767a\u983b\u5ea6\u304c\u6975\u3081\u3066\u9ad8\u3044\u305f\u3081\u3001\u6b21\u306e\u624b\u9806\u3067\u306f\u30d3\u30eb\u30c9\u3067\u304d\u306a\u3044\u53ef\u80fd\u6027\u3082\u3042\u308a\u307e\u3059\u3002\u5fc5\u305a\u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">% make clean\n(\u4e2d\u7565)\n% make -j LLAMA_CUBLAS=1\nI ccache not found. Consider installing it for faster compilation.\nI llama.cpp build info: \nI UNAME_S:   Linux\nI UNAME_P:   unknown\nI UNAME_M:   x86_64\nI CFLAGS:    -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG -DGGML_USE_CUBLAS -I\/usr\/local\/cuda\/include -I\/usr\/local\/cuda\/targets\/x86_64-linux\/include  -std=c11   -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wshadow -Wstrict-prototypes -Wpointer-arith -Wmissing-prototypes -Werror=implicit-int -Werror=implicit-function-declaration -pthread -march=native -mtune=native -Wdouble-promotion \nI CXXFLAGS:  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG -DGGML_USE_CUBLAS -I\/usr\/local\/cuda\/include -I\/usr\/local\/cuda\/targets\/x86_64-linux\/include \nI NVCCFLAGS: -std=c++11 -O3 -use_fast_math --forward-unknown-to-host-compiler -arch=native -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_MMV_Y=1 -DK_QUANTS_PER_ITERATION=2 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 \nI LDFLAGS:   -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L\/usr\/local\/cuda\/lib64 -L\/usr\/lib64 -L\/usr\/local\/cuda\/targets\/x86_64-linux\/lib -L\/usr\/lib\/wsl\/lib \nI CC:        cc (Debian 13.2.0-18) 13.2.0\nI CXX:       g++ (Debian 13.2.0-18) 13.2.0\nI NVCC:      Build cuda_12.0.r12.0\/compiler.32267302_0\n(\u4e2d\u7565)<\/pre>\n\n\n\n<p>\u30d3\u30eb\u30c9\u304c\u6b63\u5e38\u306b\u5b8c\u4e86\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>\u3067\u306f\u3001\u65e9\u901f\u5b9f\u884c\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u5148\u7a0b\u3068\u540c\u69d8\u306b\u3001\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306f\u30b5\u30a4\u30ba\u306e\u5927\u304d\u3044 ELYZA-japanese-Llama-2-7b-q4_K_M.gguf \u3068\u3057\u3001\u4f1a\u8a71\u6587\u306b\u306f\u300c\u30af\u30de\u30d9\u30f3\u30c1\u300d\u3068\u547c\u3070\u308c\u308b\u3082\u306e\u3092\u5165\u529b\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">% .\/main -m ELYZA-japanese-Llama-2-7b-q4_K_M.gguf -n 256 -e -p '[INST] &lt;&lt;SYS>>\u3042\u306a\u305f\u306f\u8aa0\u5b9f\u3067\u512a\u79c0\u306a\u65e5\u672c\u4eba\u306e\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002&lt;&lt;\/SYS>>\u30af\u30de\u304c \u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002[\/INST]'\nLog start\nmain: build = 2409 (306d34be)\nmain: built with cc (Debian 13.2.0-18) 13.2.0 for x86_64-linux-gnu\nmain: seed  = 1710468680\nggml_init_cublas: GGML_CUDA_FORCE_MMQ:   no\nggml_init_cublas: CUDA_USE_TENSOR_CORES: yes\nggml_init_cublas: found 1 CUDA devices:\n  Device 0: NVIDIA GeForce GTX 1050 Ti, compute capability 6.1, VMM: yes\nllama_model_loader: loaded meta data with 21 key-value pairs and 291 tensors from ELYZA-japanese-Llama-2-7b-q4_K_M.gguf (version GGUF V2)\n(\u4e2d\u7565)\nllm_load_tensors: ggml ctx size =    0.11 MiB\nllm_load_tensors: offloading 0 repeating layers to GPU\nllm_load_tensors: offloaded 0\/33 layers to GPU\nllm_load_tensors:        CPU buffer size =  3891.24 MiB\n(\u4e2d\u7565)\n [INST] &lt;&lt;SYS>>\u3042\u306a\u305f\u306f\u8aa0\u5b9f\u3067\u512a\u79c0\u306a\u65e5\u672c\u4eba\u306e\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002&lt;&lt;\/SYS>>\u30af\u30de\u304c\u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002[\/INST] \u30af\u30de\u304c\u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\n\u6691\u304b\u3063\u305f\u590f\u3082\u3001\u5c11\u3057\u305a\u3064\u79cb\u306e\u6c17\u914d\u3092\u611f\u3058\u308b\u3053\u308d\u3002\n\u305d\u3093\u306a\u65e5\u3005\u306e\u3061\u3087\u3063\u3068\u3057\u305f\u30cf\u30ec\u306e\u65e5\u306b\u306f\u3001\u304d\u3063\u3068\u3044\u3064\u3082\u3088\u308a\u3061\u3087\u3063\u3074\u308a\u304a\u3081\u304b\u3057\u3057\u3066\u51fa\u304b\u3051\u305f\u304f\u306a\u308a\u307e\u3059\u306d\u3002\n\u4eca\u56de\u306f\u305d\u3093\u306a\u79cb\u306e\u300c\u3054\u8cd1\u308f\u3044\u300d\u3092\u697d\u3057\u3080\u6e96\u5099\u4e07\u7aef\u306a\u30b3\u30fc\u30c7\u30a3\u30cd\u30a4\u30c8\u304c\u5927\u4eba\u6c17\uff01 \u30b9\u30da\u30c3\u30af\u4e0a\u3001CPU\u306fCore i5-9600K\uff083.7GHz\uff09\u3001\u30e1\u30e2\u30ea\u306f8GB\u3067\u3059\u3002\n\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30ab\u30fc\u30c9\u306fNVIDIA GeForce GTX1060\uff086GB\uff09\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\n\u5b9f\u969b\u306b\u30b2\u30fc\u30e0\u3092\u3084\u308b\u306e\u304b\u3069\u3046\u304b\u306f\u7f6e\u3044\u3066\u304a\u304d\nllama_print_timings:        load time =     688.76 ms\nllama_print_timings:      sample time =     165.62 ms \/   256 runs   (    0.65 ms per token,  1545.75 tokens per second)\nllama_print_timings: prompt eval time =    1804.20 ms \/   104 tokens (   17.35 ms per token,    57.64 tokens per second)\nllama_print_timings:        eval time =   76791.13 ms \/   255 runs   (  301.14 ms per token,     3.32 tokens per second)\nllama_print_timings:       total time =   78862.42 ms \/   359 tokens\nLog end<\/pre>\n\n\n\n<p>\u51fa\u529b\u5185\u5bb9\u306f\u3068\u3082\u304b\u304f\u2026\u5b9f\u884c\u306f\u3067\u304d\u307e\u3057\u305f\u3002\u3068\u3053\u308d\u304c\u5b9f\u306f\u3001llama.cpp \u3092 cuBLAS \u4f7f\u7528\u3067\u30d3\u30eb\u30c9\u3057\u3066\u3082\u3001\u307e\u3060 GPU \u3092\u5229\u7528\u3057\u3066\u3044\u307e\u305b\u3093\u3002\u30ed\u30b0\u306e\u300cllm_load_tensors:\u300d\u90e8\u5206\u306b\u6ce8\u76ee\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">llm_load_tensors: offloading 0 repeating layers to GPU\nllm_load_tensors: offloaded 0\/33 layers to GPU\nllm_load_tensors:        CPU buffer size =  3891.24 MiB<\/pre>\n\n\n\n<p>\u3053\u308c\u306f\u300c33\u30ec\u30a4\u30e4\u30fc\u306e\u3046\u3061\u30010\u30ec\u30a4\u30e4\u30fc\u3092 GPU \u306b\u4efb\u305b\u305f\u300d\u3064\u307e\u308a GPU \u306f\u307e\u3063\u305f\u304f\u5229\u7528\u3057\u3066\u3044\u306a\u3044\u3068\u3044\u3046\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u3069\u308c\u3060\u3051\u306e\u30ec\u30a4\u30e4\u30fc\u3092 GPU \u306b\u4efb\u305b\u308b\u304b\u3092\u6307\u5b9a\u3057\u3066\u3084\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u3053\u3067\u306f -ngl (--n-gpu-layers) \u30aa\u30d7\u30b7\u30e7\u30f3\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002\u307e\u305a\u306f 33 \u30ec\u30a4\u30e4\u30fc\u5168\u90e8\u3092\u4efb\u305b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">% .\/main -m ELYZA-japanese-Llama-2-7b-q4_K_M.gguf -n 256 -e -p '[INST] &lt;&lt;SYS>>\u3042\u306a\u305f\u306f\u8aa0\u5b9f\u3067\u512a\u79c0\u306a\u65e5\u672c\u4eba\u306e\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002&lt;&lt;\/SYS>>\u30af\u30de\u304c \u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002[\/INST]' -ngl 33\n(\u4e2d\u7565)\nggml_backend_cuda_buffer_type_alloc_buffer: allocating 3820.94 MiB on device 0: cudaMalloc failed: out of memory\nllama_model_load: error loading model: failed to allocate buffer\nllama_load_model_from_file: failed to load model\nllama_init_from_gpt_params: error: failed to load model 'ELYZA-japanese-Llama-2-7b-q4_K_M.gguf'\nmain: error: unable to load model<\/pre>\n\n\n\n<p>\u30a8\u30e9\u30fc\u306b\u306a\u3063\u3066\u3057\u307e\u3044\u307e\u3057\u305f\u300233 \u30d5\u30ec\u30fc\u30e0\u5168\u90e8\u3092 GPU \u306b\u4efb\u305b\u308b\u306b\u306f\u5927\u304d\u3059\u304e\u308b\u306e\u3067\u3057\u3087\u3046\u304b\uff1f \u5c11\u3057\u305a\u3064\u843d\u3068\u3057\u3066\u307f\u305f\u3068\u3053\u308d\u300127 \u30d5\u30ec\u30fc\u30e0\u3067\u6210\u529f\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">% .\/main -m ELYZA-japanese-Llama-2-7b-q4_K_M.gguf -n 256 -e -p '[INST] &lt;&lt;SYS>>\u3042\u306a\u305f\u306f\u8aa0\u5b9f\u3067\u512a\u79c0\u306a\u65e5\u672c\u4eba\u306e\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002&lt;&lt;\/SYS>>\u30af\u30de\u304c \u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002[\/INST]' -ngl 27\nLog start\nmain: build = 2409 (306d34be)\nmain: built with cc (Debian 13.2.0-18) 13.2.0 for x86_64-linux-gnu\nmain: seed  = 1710472498\nggml_init_cublas: GGML_CUDA_FORCE_MMQ:   no\nggml_init_cublas: CUDA_USE_TENSOR_CORES: yes\nggml_init_cublas: found 1 CUDA devices:\n  Device 0: NVIDIA GeForce GTX 1050 Ti, compute capability 6.1, VMM: yes\nllama_model_loader: loaded meta data with 21 key-value pairs and 291 tensors from ELYZA-japanese-Llama-2-7b-q4_K_M.gguf (version GGUF V2)\n(\u4e2d\u7565)\nllm_load_tensors: ggml ctx size =    0.22 MiB\nllm_load_tensors: offloading 27 repeating layers to GPU\nllm_load_tensors: offloaded 27\/33 layers to GPU\nllm_load_tensors:        CPU buffer size =  3891.24 MiB\nllm_load_tensors:      CUDA0 buffer size =  3114.57 MiB\n(\u4e2d\u7565)\n [INST] &lt;&lt;SYS>>\u3042\u306a\u305f\u306f\u8aa0\u5b9f\u3067\u512a\u79c0\u306a\u65e5\u672c\u4eba\u306e\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002&lt;&lt;\/SYS>>\u30af\u30de\u304c\u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002[\/INST] \u30af\u30de\u304c\u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002\n\u305d\u308c\u3067\u306f\u2026\n\u300c\u30af\u30de\u304c\u6d77\u8fba\u306b\u884c\u3063\u305f\u3093\u3058\u3083\u306d\u3048\u304b\u3002\u300d\u30a2\u30b6\u30e9\u30b7\u306f\u5927\u304d\u306a\u76ee\u3067\u30af\u30de\u3092\u898b\u3064\u3081\u3001\u984e\u3092\u4e0a\u3052\u308b\u3002\n\u30af\u30de\u3082\u53e3\u3092\u5927\u304d\u304f\u958b\u3051\u3066\u7b11\u3046\u3002\n\uff12\u5339\u306e\u9593\u306b\u306f\u4f55\u306e\u611f\u60c5\u304c\u3042\u308b\u3068\u3044\u3046\u306e\u3060\u308d\u3046\u304b\uff1f\n\u305d\u308c\u306f\u305f\u3076\u3093\u77e5\u308a\u305f\u304f\u306a\u3044\u3053\u3068\u3067\u3001\u6c17\u3065\u3044\u3066\u3057\u307e\u3063\u305f\u3089\u81ea\u5206\u306e\u5fc3\u3092\u8997\u304d\u898b\u3055\u305b\u3089\u308c\u308b\u3088\u3046\u3067\u5acc\u3060\u3002 \u300c\u30cf\u30ea\u30cd\u30ba\u30df\u300d\u306f\u30012018\u5e74\u306b\u653e\u9001\u304c\u6c7a\u5b9a\u3057\u305f\u30c6\u30ec\u30d3\u30a2\u30cb\u30e1\u300e\u30d7\u30ed\u30e1\u30a2\u300f\uff08\u7b2c\u4e00\u671f\uff09\u306e\u4e3b\nllama_print_timings:        load time =    1051.79 ms\nllama_print_timings:      sample time =     159.84 ms \/   256 runs   (    0.62 ms per token,  1601.57 tokens per second)\nllama_print_timings: prompt eval time =     870.14 ms \/   104 tokens (    8.37 ms per token,   119.52 tokens per second)\nllama_print_timings:        eval time =   30693.23 ms \/   255 runs   (  120.37 ms per token,     8.31 tokens per second)\nllama_print_timings:       total time =   31818.62 ms \/   359 tokens\nLog end<\/pre>\n\n\n\n<p>\u5185\u5bb9\u306f\u3068\u3082\u304b\u304f\u3001\u51fa\u529b\u304c 8.31 \u30c8\u30fc\u30af\u30f3\u6bce\u79d2\u3067\u3057\u305f\u3002GPU \u3092\u4f7f\u7528\u3059\u308b\u3068\u3001CPU \u306e\u307f\u306e\u5834\u5408\u3068\u6bd4\u8f03\u3057\u3066\u500d\u4ee5\u4e0a\u306e\u751f\u6210\u901f\u5ea6\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u672c\u5bb6 ChatGPT \u306b\u6bd4\u3079\u308b\u3068\u76f8\u5f53\u9045\u3044\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306f GPU \u306e\u30e1\u30e2\u30ea 4GB \u3092\u8d8a\u3048\u308b\u5927\u304d\u3055\u306e q4_K_M \u3092\u9078\u3073\u307e\u3057\u305f\u304c\u3001GPU \u306b\u4efb\u305b\u308b\u30ec\u30a4\u30e4\u30fc\u3092\u5236\u9650\u3059\u308b\u3053\u3068\u3067\u5229\u7528\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3057\u305f\u3002\u4e00\u756a\u5c0f\u3055\u306a q3_K_S \u306e\u5834\u5408\u306f\u3001\u6b21\u306e\u3088\u3046\u306b\u3059\u3079\u3066\u306e\u30ec\u30a4\u30e4\u30fc\u3092 GPU \u306b\u4efb\u305b\u3066\u3082\u52d5\u4f5c\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">% .\/main -m ELYZA-japanese-Llama-2-7b-q3_K_S.gguf -n 256 -e -p '[INST] &lt;&lt;SYS>>\u3042\u306a\u305f\u306f\u8aa0\u5b9f\u3067\u512a\u79c0\u306a\u65e5\u672c\u4eba\u306e\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002&lt;&lt;\/SYS>>\u30af\u30de\u304c \u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002[\/INST]' -ngl 33\n(\u4e2d\u7565)\nllm_load_tensors: ggml ctx size =    0.22 MiB\nllm_load_tensors: offloading 32 repeating layers to GPU\nllm_load_tensors: offloading non-repeating layers to GPU\nllm_load_tensors: offloaded 33\/33 layers to GPU\n(\u4e2d\u7565)\n[INST] &lt;&lt;SYS>>\u3042\u306a\u305f\u306f\u8aa0\u5b9f\u3067\u512a\u79c0\u306a\u65e5\u672c\u4eba\u306e\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3067\u3059\u3002&lt;&lt;\/SYS>>\u30af\u30de\u304c\u6d77\u8fba\u306b\u884c\u3063\u3066\u30a2\u30b6\u30e9\u30b7\u3068\u53cb\u9054\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u5bb6\u306b\u5e30\u308b\u3068\u3044\u3046\u30d7\u30ed\u30c3\u30c8\u306e\u77ed\u7de8\u5c0f\u8aac\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002[\/INST] \u30af\u30de\u304c\u6d77\u8fba\u306b\u3084\u3063\u3066\u304d\u305f\u3002\n\u5468\u308a\u3092\u898b\u6e21\u3059\u3068\u3001\u6cf3\u3050\u4eba\u3082\u3001\u6c34\u4e2d\u30ab\u30e1\u30e9\u3092\u6301\u3061\u51fa\u3057\u3066\u52d5\u7269\u306e\u59ff\u3092\u89b3\u5bdf\u3059\u308b\u4eba\u3082\u3044\u306a\u304b\u3063\u305f\u3002\n\u305d\u308c\u306f\u3053\u306e\u5834\u6240\u304c\u73cd\u3057\u3044\u9ce5\u3084\u52d5\u7269\u306b\u4f1a\u3048\u308b\u3068\u4fe1\u3058\u3089\u308c\u3066\u3044\u305f\u304b\u3089\u3060\u3002\n\u30af\u30de\u306f\u3001\u5927\u304d\u306a\u53e3\u3067\u3071\u304f\u308a\u3001\u5468\u308a\u3092\u898b\u56de\u3059\u3002\n\u3057\u304b\u3057\u3001\u3042\u307e\u308a\u751f\u6d3b\u611f\u306e\u306a\u3044\u6d77\u8fba\u3067\u3001\u6c34\u9ce5\u3084\u9b5a\u306b\u3082\u4f1a\u3048\u305a\u304c\u3063\u304b\u308a\u3057\u3066\u3044\u305f\u3068\u3053\u308d\u3078\u4e00\u5339\u306e\u30a2\u30b6\u30e9\u30b7\u304c\u3084\u3063\u3066\u304d\u305f\u3002\n\u30af\u30de\u306f\u305d\u308c\u3092\u898b\u3066\u3059\u3050\u306b\u98df\u3079\u308b\u3068\u601d\u3044\u8fbc\u3093\u3060\u3002\n\u3057\u304b\u3057\u3001\u30a2\u30b6\u30e9\u30b7\u306f\u9003\u3052\u306a\u3044\u3067\u3001\u3080\u3057\u308d\u8fd1\u3065\u3044\u3066\u304f\u308c\u305f\u306e\u3067\u30af\u30de\u306f\u4e0d\u5b89\u306b\u306a\u3063\u3066\u3057\u307e\u3046\u3002\n\u300c\u3082\u3057\nllama_print_timings:        load time =     894.62 ms\nllama_print_timings:      sample time =     160.60 ms \/   256 runs   (    0.63 ms per token,  1593.99 tokens per second)\nllama_print_timings: prompt eval time =    1058.72 ms \/   104 tokens (   10.18 ms per token,    98.23 tokens per second)\nllama_print_timings:        eval time =   24061.30 ms \/   255 runs   (   94.36 ms per token,    10.60 tokens per second)\nllama_print_timings:       total time =   25380.52 ms \/   359 tokens\nLog end<\/pre>\n\n\n\n<p>\u751f\u6210\u6642\u9593\u3082\u30c8\u30fc\u30af\u30f3\u6bce\u79d2\u3082\u5411\u4e0a\u3057\u307e\u3057\u305f\u3002\u5185\u5bb9\u306b\u95a2\u3057\u3066\u306f\u2026\u3069\u3063\u3061\u3082\u3069\u3063\u3061\u3068\u3044\u3046\u6c17\u304c\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u6240\u611f<\/h2>\n\n\n\n<p>\u6700\u521d\u306b\u8ff0\u3079\u305f\u30e2\u30c1\u30d9\u30fc\u30b7\u30e7\u30f3\u306b\u3064\u3044\u3066\u305d\u308c\u305e\u308c\u3069\u3046\u3067\u3042\u3063\u305f\u304b\u898b\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u3054\u5bb6\u5ead\u306b\u3042\u308b\u6570\u4e16\u4ee3\u524d\u306e\u30de\u30b7\u30f3\u3067\u5bfe\u8a71\u578b\u751f\u6210AI\u3092\u52d5\u4f5c\u3067\u304d\u308b\u304b<\/h3>\n\n\n\n<p>\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3067\u3042\u308b\u300c<a href=\"https:\/\/note.com\/elyza\/m\/mafe15265d0f2\" target=\"_blank\" rel=\"noreferrer noopener\">ELYZA-japanese-Llama-2-*<\/a>\u300d\u3084\u3001\u305d\u308c\u3089\u3092\u5229\u7528\u3067\u304d\u308b\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2 <a href=\"https:\/\/github.com\/ggerganov\/llama.cpp\" target=\"_blank\" rel=\"noreferrer noopener\">llama.cpp<\/a> \u306e\u304a\u304b\u3052\u3067\u3001\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u3067\u5bfe\u8a71\u578b\u751f\u6210AI\u3092\u52d5\u4f5c\u3055\u305b\u308b\u3053\u3068\u304c\u53ef\u80fd\u3068\u3044\u3046\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>\u305f\u3060\u3057\u3001\u5143\u306e\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u305d\u306e\u307e\u307e\u4f7f\u3046\u3053\u3068\u306f\u3067\u304d\u306a\u304b\u3063\u305f\u305f\u3081\u3001\u91cf\u5b50\u5316\u3092\u65bd\u3057\u305f\u308a\u3001\u51e6\u7406\u3092\u90e8\u5206\u7684\u306b GPU \u306b\u4efb\u305b\u308b\u3068\u3044\u3046\u30c6\u30af\u30cb\u30c3\u30af\u3092\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u751f\u6210\u901f\u5ea6\u306f\u3069\u306e\u304f\u3089\u3044\u304b<\/h3>\n\n\n\n<p>Intel Core i7-2600 (3.4GHz) \u3042\u308b\u3044\u306f NVIDIA GeForce GTX 1050 Ti (\u30e1\u30e2\u30ea 4GB) \u3067\u306f\u51fa\u529b\u306f\u7d04 3\u301c8 \u30c8\u30fc\u30af\u30f3\u6bce\u79d2\u3068\u3001\u672c\u5bb6 ChatGPT \u306e\u6570\u5341\u30c8\u30fc\u30af\u30f3\u6bce\u79d2\u306e10\u5206\u306e1\u524d\u5f8c\u3068\u898b\u3089\u308c\u307e\u3059\u3002\u52d5\u304b\u3057\u305f\u76f4\u5f8c\u306f\u300c\u52d5\u3044\u305f\uff01 \u3059\u3054\u3044\uff01\u300d\u3068\u3044\u3046\u611f\u3058\u3067\u901f\u5ea6\u306f\u6c17\u306b\u306a\u3089\u306a\u3044\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u304c\u3001\u3059\u3050\u306b\u300cChatGPT \u306b\u6bd4\u3079\u3066\u9045\u3044\u3001\u9045\u3059\u304e\u308b\u2026\u300d\u3068\u6211\u6162\u3067\u304d\u306a\u304f\u306a\u3063\u3066\u304f\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u751f\u6210\u7d50\u679c\u306f\u3069\u306e\u3088\u3046\u306a\u3082\u306e\u304b<\/h3>\n\n\n\n<p>\u672c\u7a3f\u3067\u306f\u300c\u30af\u30de\u30d9\u30f3\u30c1\u300d\u3068\u3044\u3046\u5165\u529b\u3092\u884c\u3063\u3066\u307f\u307e\u3057\u305f\u3002\u77ed\u7de8\u5c0f\u8aac\u3089\u3057\u3044\u3082\u306e\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3082\u3042\u308c\u3070\u3001\u610f\u56f3\u304b\u3089\u5916\u308c\u305f\u65b9\u5411\u306b\u8a71\u304c\u9032\u3093\u3067\u3057\u307e\u3063\u3066\u3044\u308b\u3053\u3068\u304c\u591a\u3044\u3068\u3044\u3046\u5370\u8c61\u3067\u3057\u305f\u3002\u672c\u7a3f\u306b\u63b2\u8f09\u3057\u305f\u4f8b\u3082\u3001\u3044\u304f\u3064\u304b\u751f\u6210\u3057\u305f\u3082\u306e\u306e\u4e2d\u304b\u3089\u6bd4\u8f03\u7684\u307e\u3068\u3082\u306a\u3082\u306e\u30fb\u7a4f\u5f53\u306a\u3082\u306e\u3092\u9078\u3093\u3067\u3044\u307e\u3059\u3002\u305d\u306e\u307e\u307e\u8f09\u305b\u308b\u306b\u306f\u619a\u3089\u308c\u308b\u3088\u3046\u306a\u904e\u6fc0\u306a\u5185\u5bb9\u304c\u591a\u304b\u3063\u305f\u305f\u3081\u2026\u3002<\/p>\n\n\n\n<p>\u306a\u304a\u3001\u304a\u304b\u3057\u306a\u7d50\u679c\u304c\u751f\u6210\u3055\u308c\u308b\u3053\u3068\u304c\u91cf\u5b50\u5316\u306b\u3088\u308b\u60c5\u5831\u306e\u52a3\u5316\u304c\u539f\u56e0\u304b\u3069\u3046\u304b\u3001\u306f\u3063\u304d\u308a\u3068\u3057\u305f\u3053\u3068\u306f\u4e0d\u660e\u3067\u3059\u3002\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u3067\u306f\u91cf\u5b50\u5316\u306e\u6709\u7121\u306b\u3088\u308b\u6bd4\u8f03\u304c\u56f0\u96e3\u306a\u305f\u3081\u3067\u3059\u3002\u91cf\u5b50\u5316\u3092\u884c\u308f\u306a\u3044 ELYZA-japanese-Llama-2-13b \u304c\u4e57\u308b\u3067\u3042\u308d\u3046 16GB \u306e\u30e1\u30e2\u30ea\u3092\u642d\u8f09\u3057\u305f\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30ab\u30fc\u30c9\u306f2024\u5e743\u6708\u5f53\u664215\u301c20\u4e07\u5186\u3068\u3044\u3063\u305f\u4fa1\u683c\u3067\u3001\u5373\u6c7a\u304c\u96e3\u3057\u3044\u91d1\u984d\u3060\u304b\u3089\u3067\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u7d50\u8ad6\u3068\u3057\u3066\u300c\u4f7f\u3048\u308b\u300d\u306e\u304b<\/h3>\n\n\n\n<p>\u3054\u5bb6\u5ead\u306b\u3042\u308b\u6570\u4e16\u4ee3\u524d\u306e\u30de\u30b7\u30f3\u3067\u306f\u5bfe\u8a71\u578b\u751f\u6210AI\u3092 <strong>\u4f53\u9a13<\/strong> 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class=\"wp-block-heading\">\u300c\u30ed\u30fc\u30ab\u30ebLLM\u300d\u306e\u610f\u7fa9<\/h2>\n\n\n\n<p>\u3054\u5bb6\u5ead\u306e\u30de\u30b7\u30f3\u3067\u5bfe\u8a71\u578b\u751f\u6210AI\u3092\u52d5\u304b\u3059\u306e\u306f\u306a\u304b\u306a\u304b\u96e3\u3057\u305d\u3046\u3067\u3059\u3002\u306b\u3082\u95a2\u308f\u3089\u305a\u3001\u30ed\u30fc\u30ab\u30eb\u3067\u5b9f\u884c\u3059\u308b\u3053\u3068\u306e\u610f\u7fa9\u306f\u4f55\u3067\u3057\u3087\u3046\u304b\uff1f<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u30b3\u30b9\u30c8<\/h3>\n\n\n\n<p>\u300c\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30ab\u30fc\u30c9\u304c\u9ad8\u3044\u300d\u3068\u66f8\u304d\u307e\u3057\u305f\u304c\u3001\u3053\u308c\u306f\u4e8b\u524d\u306b\u8a08\u7b97\u53ef\u80fd\u306a\u3082\u306e\u3067\u3059\u3002\u4e00\u5ea6\u8cfc\u5165\u3057\u3066\u3057\u307e\u3048\u3070\u57fa\u672c\u7684\u306b\u305d\u308c\u3067\u6e08\u307f\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u30aa\u30f3\u30e9\u30a4\u30f3\u306e\u6709\u6599\u30b5\u30fc\u30d3\u30b9\u3082\u4fa1\u683c\u304c\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u306a\u3089\u3070\u3001\u540c\u69d8\u306b\u4e8b\u524d\u306b\u4e88\u6e2c\u3092\u7acb\u3066\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3067\u3057\u3087\u3046\u3002\u3057\u304b\u3057\u3001\u7a81\u7136\u306e\u5024\u4e0a\u3052\u306a\u3069\u304c\u6709\u308a\u5f97\u308b\u3088\u3046\u306b\u3001\u5c06\u6765\u306b\u308f\u305f\u308b\u3059\u3079\u3066\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u306f\u96e3\u3057\u3044\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u306a\u304a\u3001\u300c\u30ed\u30fc\u30ab\u30eb\u300d\u304c\u30af\u30e9\u30a6\u30c9\u4e0a\u3067\u3042\u308b\u5834\u5408\u3082\u30b3\u30b9\u30c8\u306b\u95a2\u3057\u3066\u306f\u540c\u69d8\u306e\u8b70\u8ad6\u304c\u3042\u308b\u3067\u3057\u3087\u3046\u3002\u4e00\u65b9\u3067\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u5909\u66f4\u3059\u308b\u30fb\u30af\u30e9\u30a6\u30c9\u4e8b\u696d\u8005\u305d\u306e\u3082\u306e\u3092\u5909\u66f4\u3059\u308b\u306a\u3069\u3001\u5229\u7528\u8005\u5074\u3067\u30b3\u30b9\u30c8\u3092\u5236\u5fa1\u3067\u304d\u308b\u4f59\u5730\u306f\u5927\u304d\u3044\u3068\u8003\u3048\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3<\/h3>\n\n\n\n<p>\u30c7\u30fc\u30bf\u306e\u3084\u308a\u3068\u308a\u304c\u30ed\u30fc\u30ab\u30eb\u3067\u5b8c\u7d50\u3059\u308b\u305f\u3081\u3001\u76d7\u8074\u306a\u3069\u306e\u304a\u305d\u308c\u304c\u3042\u308a\u307e\u305b\u3093\u3002\u30b5\u30fc\u30d3\u30b9\u5074\u304b\u3089\u6f0f\u6d29\u3059\u308b\u3053\u3068\u3082\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<p>\u3082\u3061\u308d\u3093\u3001\u300c\u30ed\u30fc\u30ab\u30eb\u300d\u304c\u30af\u30e9\u30a6\u30c9\u4e0a\u3067\u3042\u308b\u5834\u5408\u306f\u5225\u306e\u8b70\u8ad6\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<h3 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class=\"wp-block-heading\">\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u6027<\/h3>\n\n\n\n<p>\u672c\u7a3f\u3067\u306f ELYZA-japanese-Llama-2-7b \u3092\u91cf\u5b50\u5316\u3057\u305f\u3082\u306e\u3092\u5229\u7528\u3057\u307e\u3057\u305f\u3002\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306f\u3055\u307e\u3056\u307e\u306a\u3082\u306e\u304c\u516c\u958b\u3055\u308c\u3066\u304a\u308a\u3001\u305d\u306e\u4e2d\u304b\u3089\u81ea\u7531\u306b\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002\u8ffd\u52a0\u5b66\u7fd2\u306a\u3069\u3092\u884c\u3046\u5834\u5408\u3082\u3001\u5404\u30b5\u30fc\u30d3\u30b9\u306e\u90fd\u5408\u306b\u3088\u3089\u305a\u3001\u81ea\u7531\u306b\u884c\u3048\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<h2 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