AI Resources
InkubaLM vs Lugha-Llama
A verified, side-by-side comparison. Both records are status-checked by Findra, so you are comparing what each actually offers today, not a stale listing.
Category
AI Resources
AI Resources
Type
LLM
LLM
Country
🇿🇦 South Africa
🌍 Pan-African
Docs status
Docs live
Docs live
Licensing
Pricing
Free / open weights (CC BY-NC 4.0)
Open weights (Llama 3.1 community license)
Verified
Verified
Unverified
Last verified
5 Jul 2026
5 Jul 2026
Tags
nlp, llm, african-languages, open-weights, low-resource
african-languages, swahili, low-resource, wura-corpus, llama-3.1
Summary
InkubaLM-0.4B is a 400M-parameter open-weights small language model built from scratch by Lelapa AI for five low-resource African languages (isiZulu, Yoruba, Swahili, isiXhosa, Hausa, plus English/French), using a LLaMA-style architecture trained on 2.4B tokens.
Lugha-Llama is a Llama-3.1-8B model continually pretrained on the WURA African-language corpus to lift performance on low-resource African languages. It ships in three variants (wura, wura_edu, wura_math) and reaches leading results among similarly sized models on the IrokoBench and AfriQA African-language benchmarks. It was built by researchers at Princeton University.