**Fanar-1-9B-Instruct** is a powerful 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 the instruction-tuned version of Fanar-1-9B. We continually pretrain the `google/gemma-2-9b` model on 1T Arabic and English tokens. We pay particular attention to the richness of the Arabic language by supporting 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 instruction-tuning data, are aligned with Islamic values and Arab cultures. **Fanar-1-9B-Instruct** is a core component of the Fanar GenAI platform that offers a suite of capabilities including image generation, video and image understanding, deep thinking, advanced text-to-speech (TTS) and automatic-speech-recognition (ASR), attribution and fact-checking, Islamic RAG, among several other features. We have published a comprehensive report with all the details regarding our Fanar GenAI platform. We also provide an API to our models and the GenAI platform (request access here).

Text generation

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Fanar-2-27B-Instruct

QCRI

**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 the Fanar family.

Text generation

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Fanar-2-Oryx-IVU

QCRI

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Visual QA

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PropagandaTechniquesAnalysis-en-BERT

QCRI

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Category pending

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Explore AI models 6

bert-base-multilingual-cased-pos-english

Fanar-1-9B

Fanar-1-9B-Instruct

Fanar-2-27B-Instruct

Fanar-2-Oryx-IVU

PropagandaTechniquesAnalysis-en-BERT

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