A large mixture-of-experts model that activates only 10 billion parameters per forward pass despite having 122 billion total parameters, making it computationally lighter than its size suggests. It handles very long contexts — up to 262,144 tokens — which suits tasks requiring sustained attention across large documents. The DFlash designation likely refers to an optimized attention implementation, though specific behavioral details beyond architecture are limited.