--- title: README emoji: 🌙 colorFrom: red colorTo: yellow sdk: static pinned: false thumbnail: >- https://cdn-uploads.huggingface.co/production/uploads/6a1d302aac399f7829fc07f2/x8Wn1xRBxLkVhYlDo8WMt.png ---
--- Brainquiver is rethinking where language models run. We design efficient architectures that fit on microcontrollers smaller than a fingernail, bringing genuine intelligence to the edge. The result is AI that is faster, private, and far more sustainable, drawing a fraction of the energy with no water or data-center footprint, bringing capabilities within reach of the people and places centralized infrastructure has left behind, offline, off-grid, and low-cost. ### AURI AURI is a family of language models compact enough to run on a single chip, yet capable enough to feel like far more, calling on only the part of itself each moment needs, like stars lighting up to form a constellation. No cloud, no in-flight data, no waiting. Just a mind that lives on the device and answers the instant you ask. ### What you will find here - AURI checkpoints - compact, edge-deployable language models - Quantized weights and conversion tooling for microcontroller targets - Notes and reproducible configs for embedded inference ### Status Early and active. Follow the org to see models as they are released.