{"id":1102,"date":"2024-07-07T15:30:00","date_gmt":"2024-07-07T06:30:00","guid":{"rendered":"https:\/\/staka.jp\/wordpress\/?p=1102"},"modified":"2024-07-07T15:30:00","modified_gmt":"2024-07-07T06:30:00","slug":"cyberagentlm3-22b-chat-calm3-22b-chat%e3%81%ae%e6%a9%9f%e6%a2%b0%e7%bf%bb%e8%a8%b3%e6%80%a7%e8%83%bd","status":"publish","type":"post","link":"https:\/\/staka.jp\/wordpress\/?p=1102","title":{"rendered":"CyberAgentLM3-22B-Chat (CALM3-22B-Chat)\u306e\u6a5f\u68b0\u7ffb\u8a33\u6027\u80fd"},"content":{"rendered":"\n

\u516c\u5f0f\u306e\u30cb\u30e5\u30fc\u30b9\u30ea\u30ea\u30fc\u30b9\u3084\u8ad6\u6587\u767a\u8868\u306f\u3055\u308c\u3066\u3044\u306a\u3044\u6c17\u304c\u3059\u308b\u304c[1]\u3001HuggingFace\u30ea\u30dd\u30b8\u30c8\u30ea\u3067CALM3 22B\u304c\u516c\u958b\u3055\u308c\u3066\u3044\u305f\uff08cyberagent\/calm3-22b-chat \u00b7 Hugging Face<\/a>\uff09<\/p>\n\n\n\n

\u3044\u3064\u3082\u306e\u8a2d\u5b9a\u3067\u6a5f\u68b0\u7ffb\u8a33\u6027\u80fd\u3092\u691c\u8a3c\u3057\u3066\u307f\u305f\u3002\u6027\u80fd\u8a55\u4fa1\u306b\u4f7f\u7528\u3057\u305f\u30c7\u30fc\u30bf\u306f\u4ee5\u524d\uff08DAMO PolyLM-13B\u306e\u6a5f\u68b0\u7ffb\u8a33\u6027\u80fd | \u3077\u308b\u30fc\u3075\u304a\u3076\u3053\u3093\u305b\u3077\u3068 (staka.jp)<\/a>\uff09\u3068\u540c\u3058\u3002\u691c\u8a3c\u74b0\u5883\u306f\u74b0\u5883\u306fColab Pro+ (A100)\u3092\u7528\u3044\u30ea\u30dd\u30b8\u30c8\u30ea\u306e\u63a8\u5968\u8a2d\u5b9a[2]\u3067\u30ed\u30fc\u30c9\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n\n

\u524d\u56de\u306eGemma 2 9B<\/a>\u3068\u540c\u69d8\u306b\u4f59\u8a08\u306a\u30c8\u30fc\u30af\u30f3\u304c\u5165\u308b\u3053\u3068\u304c\u5c11\u306a\u304f[3] GPT-4o\u3092\u7528\u3044\u305f\u56de\u7b54\u90e8\u5206\u306e\u7279\u5b9a\u306f\u884c\u3063\u3066\u3044\u306a\u3044\u3002\u8a55\u4fa1\u6307\u6a19\u306fBLEU\u3001\u4f7f\u7528\u3057\u305f\u30c4\u30fc\u30eb\u3084tokenizer\u306f\u4ee5\u524d\u3068\u540c\u3058\uff08sacrebleu \u2013tokenize ja-mecab\uff09\u3067\u3042\u308b\u3002\u300c0 shot\u300d\u3068\u300c1 shot\u300d\u306e\u6bd4\u8f03\u3067ICL\u3084RAG\u306a\u3069\u30d7\u30ed\u30f3\u30d7\u30c8\u5185\u306b\u30c7\u30fc\u30bf\u3092\u4e0e\u3048\u305f\u6642\u306e\u6027\u80fd\u3092\u30b6\u30c3\u30af\u30ea\u3068\u307f\u308b\u4e8b\u304c\u3067\u304d\u308b\u3002\u3044\u3064\u3082\u306e\u901a\u308a\u975e\u5e38\u306b\u9650\u5b9a\u3055\u308c\u305f\u6a5f\u68b0\u7ffb\u8a33\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u304c\u5fc5\u8981\u3067\u3042\u308b\u3002<\/p>\n\n\n\n

\u30e2\u30c7\u30eb<\/td>0 shot<\/td>1 shot<\/td><\/tr>
cyberagent\/calm3-22b-chat \u00b7 Hugging Face<\/a><\/td>24.7<\/td>38.9<\/td><\/tr><\/tbody><\/table>
CALM3-22B-Chat\u306e\u6a5f\u68b0\u7ffb\u8a33\u6027\u80fd\uff08BLEU\uff09<\/figcaption><\/figure>\n\n\n\n

\u7d50\u679c\u3068\u6240\u611f<\/h2>\n\n\n\n

Gemma 2 9B\u3068\u6bd4\u3079\u308b\u3068\u8a55\u4fa1\u304c\u96e3\u3057\u3044\u304c\u6027\u80fd\u306f\u304b\u306a\u308a\u9ad8\u3044\u3002Gemma 2 9B\u3068\u306e\u30b9\u30b3\u30a2\u5dee\u306f\u4eca\u4f7f\u3063\u3066\u3044\u308b\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u304c\u6a5f\u80fd\u3057\u3066\u3044\u306a\u3044\u53ef\u80fd\u6027\u9ad8\u304f\u8981\u518d\u691c\u8a3c\u3067\u3042\u308b\u3068\u601d\u3046[4]\u3002<\/p>\n\n\n\n

\u65e5\u672c\u306e\u4f1a\u793e\u306b\u3088\u308b\u9ad8\u6027\u80fdLLM\u304cApache 2\u30e9\u30a4\u30bb\u30f3\u30b9\u3067\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u610f\u7fa9\u306f\u5927\u304d\u3044\u3002\u4ed6\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u306e\u691c\u8a3c\u7d50\u679c\u3082\u6c17\u306b\u306a\u308b\u3068\u3053\u308d[5]\u3002<\/p>\n\n\n\n

\u811a\u6ce8<\/h4>\n\n\n\n

[1] X\u3067\u306f\u8a71\u984c\u306b\u306a\u3063\u3066\u3044\u308b\u3002
[2] model = AutoModelForCausalLM.from_pretrained(“cyberagent\/calm3-22b-chat”, device_map=”auto”, torch_dtype=”auto”)
[3] <|im_start|>assistant \uff5e <|im_end|>\u3092\u3068\u308b\u65b9\u91dd\u3067\u5341\u5206\u3060\u3063\u305f\u3002
[4] \u5916\u52d9\u7701\u306e\u30da\u30fc\u30b8\u304c\u81ea\u52d5\u53d6\u5f97\u4e0d\u53ef\u306b\u306a\u3063\u305f\u3088\u3046\u3067\u4ed6\u306e\u7701\u5e81\u306e\u30c7\u30fc\u30bf\u3067\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3092\u518d\u69cb\u6210\u4e2d
[5] Nejumi LLM\u30ea\u30fc\u30c0\u30fc\u30dc\u30fc\u30c93 | llm-leaderboard3 \u2013 Weights & Biases (wandb.ai)<\/a> \u306f\u304b\u306a\u308a\u53c2\u8003\u306b\u306a\u308b
<\/p>\n","protected":false},"excerpt":{"rendered":"

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