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RakutenAI-7B: Extending Large Language Models for Japanese

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arxiv 2403.15484 v1 pith:RTJS76I3 submitted 2024-03-21 cs.CL cs.LG

Rakuten Group Inc. , Aaron Levine , Connie Huang , Chenguang Wang , Eduardo Batista , Ewa Szymanska , Hongyi Ding , Hou Wei Chou
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Jean-François Pessiot Johanes Effendi Justin Chiu Kai Torben Ohlhus Karan Chopra Keiji Shinzato Koji Murakami Lee Xiong Lei Chen Maki Kubota Maksim Tkachenko Miroku Lee Naoki Takahashi Prathyusha Jwalapuram Ryutaro Tatsushima Saurabh Jain Sunil Kumar Yadav Ting Cai Wei-Te Chen Yandi Xia Yuki Nakayama Yutaka Higashiyama
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classification cs.CLcs.LG
keywords modelsjapaneselanguagelargerakutenai-7bachievealongapache
verification ladder T0 review T1 audit T2 compute T3 formal
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We introduce RakutenAI-7B, a suite of Japanese-oriented large language models that achieve the best performance on the Japanese LM Harness benchmarks among the open 7B models. Along with the foundation model, we release instruction- and chat-tuned models, RakutenAI-7B-instruct and RakutenAI-7B-chat respectively, under the Apache 2.0 license.

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