NileChat-3B
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.
- Category
- AI Resources
- Pricing
- Open weights (Qwen research license, non-commercial)
- Country
- 🌍 Pan-African
- Last verified
- 10 Jul 2026
Verification history
- 10 Jul 2026 · live
- 7 Jul 2026 · live
Automated checks run every few days. See all recent status changes
Tags
Compare NileChat-3B
Side-by-side, verified specs against its closest llm alternatives.
Related in AI Resources
AfroLM
A multilingual masked language model pretrained from scratch on 23 African languages using a self-active learning framework, outperforming AfriBERTa, mBERT and XLMR-base on NER and sentiment tasks. Created by Bonaventure Dossou and collaborators, published at SustaiNLP/EMNLP 2022.
N-ATLaS
Nigeria's first government-backed multilingual LLM (Sep 2025): a Llama-3 8B fine-tuned on 400M+ tokens across 4 Nigerian languages. Produced by NCAIR/NITDA and Awarri.
UlizaLlama (Jacaranda Health)
UlizaLlama is a 7B-parameter Swahili-and-English LLM fine-tuned from Meta's Llama 2 (continually pretrained on ~321M Swahili tokens) by Jacaranda Health in Kenya, built to power Swahili maternal-health SMS support for low-income expectant mothers in East Africa.