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Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale

arXiv · · Significant research

NLP LLM Arabic AI Research Product

Summary

The Hala technical report introduces a family of Arabic-centric instruction and translation models developed using a translate-and-tune pipeline. A strong Arabic-English teacher model is compressed to FP8 and used to create bilingual supervision data. The LFM2-1.2B model is fine-tuned on this data and used to translate English instruction sets into Arabic, creating a million-scale corpus. Why it matters: The release of models, data, evaluation tools, and recipes will accelerate research and development in Arabic NLP, providing valuable resources for the community.

Keywords

Arabic NLP · instruction tuning · translation models · bilingual supervision · Hala

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ALLaM: Large Language Models for Arabic and English

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