Fanar 2 27B Instruct Fanar 2 27B Instruct is an advanced Arabic English LLM developed by Qatar Computing Research Institute (QCRI) at Hamad Bin Khalifa University (HBKU), a member of Qatar Foundation for Education, Science, and Community Development. It is part of the Fanar 2.0 release , a comprehensive Arabic centric multimodal generative AI platform that includes specialized models for image generation, image understanding, and poetry generation. Building on the success of Fanar 1.0, we continually pretrain the google/gemma 3 27b pt model on ~166B Arabic and English tokens using a novel three recipe training approach with model merging. Highlighting the richness of the Arabic language, we support Modern Standard Arabic (MSA) and a diverse set of Arabic dialects, including Gulf, Levantine, and Egyptian. Fanar models, through meticulous curation of the pretraining and post training data, are aligned with Islamic values and Arabic culture. Fanar 2 27B Instruct introduces several breakthrough capabilities including native Arabic reasoning traces, selective thinking mode, tool calling, and advanced hallucination mitigation—making it the most capable Arabic English language model in th…
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