Apps

For years, powerful language models lived in distant data centers, out of reach of everyday devices. BitNet and other 1‑bit LLM architectures are changing that by compressing model weights down to just one or two bits, slashing memory and compute requirements without destroying performance. This guide explains how 1‑bit and 1.58‑bit BitNet models work, why BitLinear layers matter, and how they are turning smartphones into true AI endpoints where training and inference can run locally, cheaply, and often offline.