NileChat-3B vs SERENGETI

NileChat-3B is a 3B-parameter LLM built on Qwen2.5-3B and adapted for Egyptian and Moroccan communities, handling Egyptian and Moroccan dialectal Arabic in both Arabic script and Arabizi alongside Modern Standard Arabic, French and English. It was trained with controlled synthetic data and translated corpora and outperforms its Qwen2.5-3B baseline on Arabic benchmarks. It was released by the UBC Deep Learning and NLP Lab and accepted at EMNLP 2025.

A massively multilingual masked language model covering 517 African languages and varieties across five scripts, achieving state-of-the-art results on the AfroNLU benchmark. Developed by the UBC Deep Learning and NLP Lab as an Afrocentric resource.