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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.15484 |
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| _version_ | 1866911810540535808 |
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| author | Rakuten Group Levine, Aaron Huang, Connie Wang, Chenguang Batista, Eduardo Szymanska, Ewa Ding, Hongyi Chou, Hou Wei Pessiot, Jean-François Effendi, Johanes Chiu, Justin Ohlhus, Kai Torben Chopra, Karan Shinzato, Keiji Murakami, Koji Xiong, Lee Chen, Lei Kubota, Maki Tkachenko, Maksim Lee, Miroku Takahashi, Naoki Jwalapuram, Prathyusha Tatsushima, Ryutaro Jain, Saurabh Yadav, Sunil Kumar Cai, Ting Chen, Wei-Te Xia, Yandi Nakayama, Yuki Higashiyama, Yutaka |
| author_facet | Rakuten Group Levine, Aaron Huang, Connie Wang, Chenguang Batista, Eduardo Szymanska, Ewa Ding, Hongyi Chou, Hou Wei Pessiot, Jean-François Effendi, Johanes Chiu, Justin Ohlhus, Kai Torben Chopra, Karan Shinzato, Keiji Murakami, Koji Xiong, Lee Chen, Lei Kubota, Maki Tkachenko, Maksim Lee, Miroku Takahashi, Naoki Jwalapuram, Prathyusha Tatsushima, Ryutaro Jain, Saurabh Yadav, Sunil Kumar Cai, Ting Chen, Wei-Te Xia, Yandi Nakayama, Yuki Higashiyama, Yutaka |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_15484 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | RakutenAI-7B: Extending Large Language Models for Japanese Rakuten Group Levine, Aaron Huang, Connie Wang, Chenguang Batista, Eduardo Szymanska, Ewa Ding, Hongyi Chou, Hou Wei Pessiot, Jean-François Effendi, Johanes Chiu, Justin Ohlhus, Kai Torben Chopra, Karan Shinzato, Keiji Murakami, Koji Xiong, Lee Chen, Lei Kubota, Maki Tkachenko, Maksim Lee, Miroku Takahashi, Naoki Jwalapuram, Prathyusha Tatsushima, Ryutaro Jain, Saurabh Yadav, Sunil Kumar Cai, Ting Chen, Wei-Te Xia, Yandi Nakayama, Yuki Higashiyama, Yutaka Computation and Language Machine Learning 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. |
| title | RakutenAI-7B: Extending Large Language Models for Japanese |
| topic | Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2403.15484 |