NativeTernary: New Binary Encoding Standard for Ternary AI Models

Researchers introduce NativeTernary, a binary encoding scheme designed specifically for ternary neural networks like BitNet b1.58 that use only three weight values (-1, 0, +1). The format uses unary run-length markers to encode hierarchical data boundaries efficiently, with applications spanning AI model storage, IoT devices, and edge computing systems.