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Allam 7B Instruct Preview

Developed by ALLaM-AI
ALLaM is a large Arabic language model developed by the Saudi Data and Artificial Intelligence Authority (SDAIA), supporting both Arabic and English, trained from scratch with 7 billion parameters.
Downloads 8,686
Release Time : 2/13/2025

Model Overview

ALLaM is an LLM family optimized for Arabic, achieving cross-lingual knowledge transfer while maintaining English proficiency through two-stage pre-training.

Model Features

Bilingual Support
Supports both Arabic and English, enabling cross-lingual knowledge transfer
Two-stage Training
First stage: 4 trillion English tokens; Second stage: 1.2 trillion mixed Arabic-English tokens
Long Context Handling
Supports context lengths up to 4096 tokens
Cultural Adaptation
Optimized for Arabic cultural values

Model Capabilities

Arabic text generation
English text generation
Cross-lingual knowledge transfer
Instruction following

Use Cases

Education
Arabic Learning Assistance
Helps students understand Arabic course content
Achieved 91.77% accuracy on IEN multiple-choice tests
Exam Preparation
Assists in preparing for Saudi standardized exams
Achieved 66.67% accuracy on ETEC tests
Cultural Dissemination
Arabic Culture Q&A
Answers questions about Arabic culture and values
Achieved 76.33% accuracy on ACVA tests
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