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Lugha-Llama vs SERENGETI

A verified, side-by-side comparison. Both records are status-checked by Wycord, so you are comparing what each actually offers today, not a stale listing.

Lugha-LlamaSERENGETI
Category
AI Resources
AI Resources
Type
LLM
LLM
Country
🌍 Pan-African
🌍 Pan-African
Docs status
Docs live
Docs live
Licensing
Institutional only
Pricing
Open weights (Llama 3.1 community license)
Free for research; commercial use requires contacting authors
Verified
Unverified
Verified
Last verified
10 Oct 2026
10 Oct 2026
Tags
african-languages, swahili, low-resource, wura-corpus, llama-3.1
nlp, masked-language-model, 517-languages, afrocentric, ubc-nlp
Links
Website Docs
Website Docs GitHub
Summary
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.
A massively multilingual masked language model covering 517 African languages and varieties across five scripts, achieving state-of-the-art results on the AfroNLU benchmark. Developed by the UBC Deep Learning and NLP Lab as an Afrocentric resource.

Lugha-Llama vs SERENGETI at a glance

Lugha-Llama and SERENGETI are both listed under LLM in Wycord's AI Resources index.

Both are based in Pan-African.

Both currently show the status "Docs live".

On access, Lugha-Llama is marked "No approval needed" and SERENGETI "Institutional only".

Over the last 30 days Wycord's probes measured 100% uptime for Lugha-Llama (36 checks) and 100% for SERENGETI (36 checks).

Average response time on live probes was 152 ms for Lugha-Llama and 162 ms for SERENGETI.

Uptime and latency come from Wycord's own probes of each resource's website, documentation and repository, run every six hours.

How they differ

  • Access: Lugha-Llama, No approval needed; SERENGETI, Institutional only.
  • Pricing: Lugha-Llama, Open weights (Llama 3.1 community license); SERENGETI, Free for research; commercial use requires contacting authors.
  • Verification: Lugha-Llama, Unverified; SERENGETI, Verified.
  • Average latency: Lugha-Llama, 152 ms; SERENGETI, 162 ms.

Topics

Only Lugha-Llama: african-languages, swahili, low-resource, wura-corpus, llama-3.1.

Only SERENGETI: nlp, masked-language-model, 517-languages, afrocentric, ubc-nlp.

Common questions

Which has better uptime, Lugha-Llama or SERENGETI?
They are level at 100% over the last 30 days.
Do Lugha-Llama or SERENGETI need approval before use?
Lugha-Llama is marked "No approval needed" and SERENGETI "Institutional only".
Is the documentation for Lugha-Llama and SERENGETI working?
Both show "Docs live" at the last check.
Where are Lugha-Llama and SERENGETI based?
Both are based in Pan-African.

More comparisons

Full details: Lugha-LlamaFull details: SERENGETI