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Jais 2: New family of Arabic-centric LLMs released with 70B parameter model

A family of Arabic-centric large language models named Jais 2 has been developed by MBZUAI, Cerebras, and Inception. The models include a 70B parameter version, which is reportedly the largest open Arabic-centric LLM trained from scratch, and an 8B parameter variant. Jais 2 demonstrates strong performance on Arabic benchmarks, including culturally specific tasks like poetry and religion, as well as general tasks like translation and summarization, while also showing competitive English results. The models are released on Hugging Face under a commercially permissive license, with the 70B version available as a chat application. AI

IMPACT This release provides a significant open-weight foundation for Arabic-centric LLM research and development, potentially accelerating progress in the field.

RANK_REASON The cluster describes the release of a new family of large language models, Jais 2, detailed in an arXiv paper, including specific parameter counts and benchmark performance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Jais 2: New family of Arabic-centric LLMs released with 70B parameter model

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The cluster describes the release of a new family of large language models, Jais 2, detailed in an arXiv paper, including specific parameter counts and benchmark performance. [lever_c_demoted from …
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, Mostafa Awad, Abdelrahman Sadallah, Gurpreet Gosal, Gokulakrishnan Ramakrishnan, Sarath Chandran, Biswajit Mishra, Rituraj Joshi, Ahmed Frikha, Etienne Goffinet, Abhishek Maiti, Ali El Filali, Sarah Al… ·

    Jais 2: A Family of Arabic-Centric Open Large Language Models

    arXiv:2608.13580v1 Announce Type: cross Abstract: Jais 2 is a family of Arabic-centric large language models developed jointly by MBZUAI, Cerebras, and Inception, designed to advance Arabic-centric language modeling, with strong performance across the Arabic and culturally ground…