AI Resources
InkubaLM vs SabiYarn-125M
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
🇳🇬 Nigeria
Docs status
Docs live
Docs live
Licensing
Pricing
Free / open weights (CC BY-NC 4.0)
Open weights
Verified
Verified
Unverified
Last verified
5 Jul 2026
5 Jul 2026
Tags
nlp, llm, african-languages, open-weights, low-resource
yoruba, hausa, igbo, nigerian-languages, gpt
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.
SabiYarn-125M is a 125M-parameter decoder-only foundation model pretrained on Nigerian-language text, the first in the SabiYarn series. It supports English, Yoruba, Hausa, Igbo and Nigerian Pidgin plus Fulfulde, Efik and Urhobo, with fine-tuned variants for translation, NER, sentiment and diacritization. It was built by Aletheia.ai Research Lab and presented at the AfricaNLP 2025 workshop.