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Fanar 2.0: Arabic Generative AI Stack

arXiv · Mar 17

Hamad Bin Khalifa University (HBKU) has released Fanar 2.0, the second generation of Qatar's Arabic-centric Generative AI platform, built entirely at QCRI. The core of Fanar 2.0 is Fanar-27B, which was continually pre-trained from a Gemma-3-27B backbone using 120 billion high-quality tokens and only 256 NVIDIA H100 GPUs. Fanar 2.0 includes capabilities like FanarGuard, Aura, Oryx, Fanar-Sadiq, Fanar-Diwan, and FanarShaheen for moderation, speech recognition, vision understanding, Islamic content, poetry generation, and translation. Why it matters: This shows that sovereign, resource-constrained AI development in the Arabic language is possible, producing competitive systems in the region.

Fanar 2.0 a major leap in Arabic AI technology - The Peninsula Qatar

QCRI · Dec 10

Qatar Computing Research Institute (QCRI) has released Fanar 2.0, a new version of its open-source Arabic language processing toolkit. Fanar 2.0 includes improved models for named entity recognition, part-of-speech tagging, and dependency parsing. The toolkit is designed to support researchers and developers working on Arabic NLP applications. Why it matters: This release enhances the accessibility of advanced Arabic NLP tools, crucial for developing AI solutions tailored to the Arabic-speaking world.