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ZyphraFebruary 18, 2026

ZUNA

Open Source
CV
LLMs
ML
Bio

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### TL;DR

ZUNA is Zyphra's first foundation model trained on brain data, aiming to advance noninvasive thought-to-text communication through brain–computer interfaces (BCIs). This 380M-parameter diffusion autoencoder model enhances the quality and usability of electroencephalography (EEG) data by reconstructing, denoising, and upsampling signals across various channel layouts.

Key Insights & Metrics

Pricing
Free
Cost structure
Version
1.0
Current release version
Hardware
Compatible with consumer GPUs; can run on CPU for many workloads
Compute requirements
Category
Open Source
Licensing model
Region
United States
Primary region

Key Features

  • Denoises existing EEG channels
  • Reconstructs missing EEG channels
  • Predicts novel channel signals based on scalp coordinates
  • Operates across diverse EEG systems, from consumer headsets to clinical equipment
  • Open-source under Apache 2.0 license

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