MODEL PROFILE

Fanar-2-27B-Instruct

QCRI · 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 the Fanar family.

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 19:16:24
OVERVIEW

Model overview

**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.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。