Prometheus is validated on the TUMLU benchmark: 38,139 native Azerbaijani questions across 11 academic disciplines, with no translated content, so its ability is proven rather than asserted.
It is easy to claim a model speaks Azerbaijani; it is harder to prove it. Prometheus is validated on TUMLU, a benchmark of 38,139 genuinely native Azerbaijani questions spanning 11 academic disciplines — no translated questions — so its Azerbaijani ability is measured against real, native material.
Validated on the TUMLU benchmark of native Azerbaijani questions.
38,139 questions across 11 academic disciplines.
No translated content — every question is genuinely native.
Provides an objective measure of Azerbaijani ability.
Backs a model built natively for Azerbaijani and run on your own infrastructure.
TUMLU is a benchmark of 38,139 native Azerbaijani questions across 11 academic disciplines, used to measure a model’s real Azerbaijani ability.
No. The benchmark uses genuinely native Azerbaijani questions, with no translated content.
It replaces marketing claims with an objective measure of how well the model actually handles native Azerbaijani across many disciplines.
The first large language model built natively for Azerbaijani — not adapted from English.
Runs fully inside your own network — data never leaves your infrastructure.
Three model sizes to match your accuracy needs and hardware budget.
Handles the ə character and agglutinative morphology — 4.6× more efficient on Azerbaijani text.
See the complete product: problem, features, how it works and deployment.
Request a demo to see Prometheus running on-premise — Azerbaijani understanding, model sizing and API integration, end to end.