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LLM-jp-4 family of Japanese LLMs released with transparency focus

By PulseAugur Editorial · [1 sources] ·

A new family of Japanese large language models, LLM-jp-4, has been introduced, featuring an 8B dense model and a 32B mixture-of-experts model. These models were trained on approximately 12 trillion tokens with a focus on transparency and reproducibility. Evaluations show significant improvements over previous LLM-jp versions and competitive performance against similar-scale open-weight models. AI

IMPACT Provides a reference for future sovereign AI development with transparent and reproducible LLM training.

RANK_REASON The cluster describes a technical report detailing a new family of large language models, including their architecture, training data, and evaluation results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM-jp-4 family of Japanese LLMs released with transparency focus

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14 / 100
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The cluster describes a technical report detailing a new family of large language models, including their architecture, training data, and evaluation results. [lever_c_demoted from research: ic=1 a…
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model release, paper
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · LLM-jp, :, Chaoran Liu, Daisuke Kawahara, Hideyuki Tachibana, Hirokazu Kiyomaru, Jun Suzuki, Koshi Eguchi, Kouta Nakayama, Qianying Liu, Rio Yokota, Ryo Takahashi, Sadao Kurohashi, Sosuke Hosokawa, Taishi Nakamura, Takashi Kodama, Yun-Ang Wu, Yusuke Miy… ·

    LLM-jp-4 Technical Report

    arXiv:2610.19331v1 Announce Type: new Abstract: This paper presents LLM-jp-4, a family of Japanese sovereign large language models (LLMs) developed with an emphasis on transparency, reproducibility, and practical usability. LLM-jp-4 comprises an 8B dense model and a 32B-A3B mixtu…

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