Model Core
The Bayan Model is a foundation model trained from scratch, with Arabic as its primary and native reasoning language.
At the architectural level, the model is optimized for:
- sustained long-context processing
- stable semantic representations across extended sequences
- controlled reasoning flows rather than stochastic generation
Context management is treated as a systems problem, not a prompt artifact. Internal representations are designed to minimize drift as context length increases, preserving interpretability and structural coherence.
Reasoning outputs are structured to remain externally inspectable, enabling traceability across intermediate steps without exposing internal weights or training data.
The model is not optimized for casual interaction, but for environments where reasoning quality must be defensible.