Prometheus comes in 587B, 99B and 39B parameter sizes, so you can match accuracy to your hardware budget without switching to a different, less capable model.
Not every workload needs the largest model, and not every budget can run it. Prometheus is offered in three sizes — 587B, 99B and 39B parameters — so you can pick the point on the accuracy-versus-hardware curve that fits, while keeping the same native Azerbaijani foundation across all of them.
Three parameter sizes — 587B, 99B and 39B — from one native Azerbaijani model.
Match accuracy needs against hardware budget without changing vendors.
All sizes are built natively for Azerbaijani, with the same native tokenizer.
4.6× more efficient on Azerbaijani text, cutting inference cost and latency at every size.
Runs on-premise at every size, so data control never depends on the tier you pick.
Three: 587B, 99B and 39B parameters. All share the same native Azerbaijani foundation.
All sizes are built natively for Azerbaijani with the same native tokenizer; the choice is about accuracy versus hardware budget.
Yes. Prometheus is 4.6× more efficient on Azerbaijani text, and a smaller size further reduces hardware and inference cost.
The first large language model built natively for Azerbaijani — not adapted from English.
Runs fully inside your own network — data never leaves your infrastructure.
Handles the ə character and agglutinative morphology — 4.6× more efficient on Azerbaijani text.
Proven on 38,139 native Azerbaijani questions across 11 disciplines — no translations.
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.