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Bit-TTT-Engine is a high-performance AI engine implementing 1.58-bit quantization and Test-Time Training (TTT) entirely in Rust. Unlike typical PyTorch-based workflows, it provides an end-to-end ecosystem without any Python dependencies. Built on the Candle framework, it ensures memory safety and utilizes CUDA/AVX acceleration. Key Features: - Pure Rust Architecture (No Python) - Real-time Test-Time Training (TTT) - Hyperdimensional Computing (HDC) Logic - 1.58-bit Quantization for extreme efficiency This is a utility project born on Orynth.