UlizaLlama (Jacaranda Health)
VerifiedBuilt by 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.
- Category
- AI Resources
- Pricing
- Free for research/social good; commercial use requires contacting Jacaranda Health
- Country
- 🇰🇪 Kenya
- Last verified
- 25 Aug 2026
{ "name": "UlizaLlama (Jacaranda Health)", "slug": "ulizallama-jacaranda-health", "category": "AI", "country": "KE", "docs_status": "LIVE", "licensing_required": "APPROVAL", "verified": true, "last_verified": "2026-08-25", "website": "https://huggingface.co/Jacaranda/UlizaLlama", "documentation_url": "https://huggingface.co/Jacaranda/UlizaLlama"}Verification history
- 25 Aug 2026 · live
- 22 Aug 2026 · live
- 19 Aug 2026 · live
- 16 Aug 2026 · live
- 13 Aug 2026 · live
- 10 Aug 2026 · live
- 7 Aug 2026 · live
- 4 Aug 2026 · live
Automated checks run every few days. See all recent status changes
Tags
Compare UlizaLlama (Jacaranda Health)
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.
InkubaLM
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.