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InkubaLM vs SabiYarn-125M

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.

InkubaLMSabiYarn-125M
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
10 Oct 2026
10 Oct 2026
Tags
nlp, llm, african-languages, open-weights, low-resource
yoruba, hausa, igbo, nigerian-languages, gpt
Links
Website Docs GitHub
Website Docs
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.

InkubaLM vs SabiYarn-125M at a glance

InkubaLM and SabiYarn-125M are both listed under LLM in Wycord's AI Resources index.

InkubaLM is based in South Africa and SabiYarn-125M in Nigeria.

Both currently show the status "Docs live".

On access, both are marked "No approval needed".

Over the last 30 days Wycord's probes measured 100% uptime for InkubaLM (36 checks) and 100% for SabiYarn-125M (36 checks).

Average response time on live probes was 168 ms for InkubaLM and 151 ms for SabiYarn-125M.

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

How they differ

  • Pricing: InkubaLM, Free / open weights (CC BY-NC 4.0); SabiYarn-125M, Open weights.
  • Country: InkubaLM, South Africa; SabiYarn-125M, Nigeria.
  • Verification: InkubaLM, Verified; SabiYarn-125M, Unverified.
  • Average latency: InkubaLM, 168 ms; SabiYarn-125M, 151 ms.

Topics

Only InkubaLM: nlp, llm, african-languages, open-weights, low-resource.

Only SabiYarn-125M: yoruba, hausa, igbo, nigerian-languages, gpt.

Common questions

Which has better uptime, InkubaLM or SabiYarn-125M?
They are level at 100% over the last 30 days.
Do InkubaLM or SabiYarn-125M need approval before use?
Both are marked "No approval needed".
Is the documentation for InkubaLM and SabiYarn-125M working?
Both show "Docs live" at the last check.
Where are InkubaLM and SabiYarn-125M based?
InkubaLM is based in South Africa; SabiYarn-125M is based in Nigeria.

More comparisons

Full details: InkubaLMFull details: SabiYarn-125M