01-15-2026, 07:53 AM
AI and data services built for today’s most capable multimodal systems.
Powerful AI starts with data. Awarri provides end-to-end data services that power today’s most advanced systems, from labelling to training to human feedback.
N-ATLaS-LLM - Multilingual African Language Model
N-ATLaS-LLM is a fine-tuned multilingual language model based on Llama-3 8B, specifically designed to support African languages, including Hausa, Igbo, and Yoruba alongside English. This model is powered by Awarri Technologies an initiative of the Federal Ministry of Communications, Innovation and Digital Economy as part of the Nigerian Languages AI Initiative to promote digital inclusion and preserve African linguistic heritage in the digital age.
Model Overview
N-ATLaS-LLM is built on the Llama architecture and has been fine-tuned on over 400 million tokens of multilingual instruction data. The model demonstrates strong performance across multiple African languages while maintaining excellent English capabilities.
Key Features
Multilingual Support: Native support for English, Hausa, Igbo, and Yoruba
Cultural Relevance: Trained on culturally relevant content from Nigerian sources
Instruction Following: Fine-tuned for instruction-following tasks
Tool Integration: Built-in support for tool integration capabilities
www.awarri.com
https://huggingface.co/NCAIR1/N-ATLaS
Powerful AI starts with data. Awarri provides end-to-end data services that power today’s most advanced systems, from labelling to training to human feedback.
N-ATLaS-LLM - Multilingual African Language Model
N-ATLaS-LLM is a fine-tuned multilingual language model based on Llama-3 8B, specifically designed to support African languages, including Hausa, Igbo, and Yoruba alongside English. This model is powered by Awarri Technologies an initiative of the Federal Ministry of Communications, Innovation and Digital Economy as part of the Nigerian Languages AI Initiative to promote digital inclusion and preserve African linguistic heritage in the digital age.
Model Overview
N-ATLaS-LLM is built on the Llama architecture and has been fine-tuned on over 400 million tokens of multilingual instruction data. The model demonstrates strong performance across multiple African languages while maintaining excellent English capabilities.
Key Features
Multilingual Support: Native support for English, Hausa, Igbo, and Yoruba
Cultural Relevance: Trained on culturally relevant content from Nigerian sources
Instruction Following: Fine-tuned for instruction-following tasks
Tool Integration: Built-in support for tool integration capabilities
www.awarri.com
https://huggingface.co/NCAIR1/N-ATLaS