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Fanar 1 9B Instruct

Developed by QCRI
Fanar-1-9B-Instruct is a powerful Arabic-English large language model developed by the Qatar Computing Research Institute (QCRI). It supports Modern Standard Arabic and multiple Arabic dialects, and is aligned with Islamic values and Arab culture.
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Release Time : 6/1/2025

Model Overview

Fanar-1-9B-Instruct is an Arabic-English large language model that undergoes continuous pre-training based on the google/gemma-2-9b model. It has been fine-tuned with instructions, supports multiple Arabic dialects, and serves as the core component of the Fanar generative AI platform.

Model Features

Multilingual support
Supports Arabic and English, covering Modern Standard Arabic and multiple Arabic dialects (such as Gulf, Levantine, and Egyptian dialects).
Cultural alignment
Aligned with Islamic values and Arab culture through carefully curated data.
Multi-functional platform
As the core component of the Fanar generative AI platform, it provides various functions such as image generation, video and image understanding.
High performance
Performs excellently in multiple benchmark tests, especially in Arabic language tasks.

Model Capabilities

Text generation
Instruction following
Multilingual support
Culturally aligned text generation
Islamic Retrieval Augmented Generation (RAG)

Use Cases

Education
Arabic language learning assistance
Helps learners understand Modern Standard Arabic and dialects.
Provides accurate Arabic explanations and examples.
Cultural dissemination
Islamic cultural content generation
Generates content that is consistent with Islamic values and Arab culture.
Ensures the religious and cultural sensitivity of the content.
Multi-modal applications
Image and video understanding
As part of the Fanar platform, it supports the understanding and generation of images and videos.
Provides a multi-modal interaction experience.
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