Traditional Quantization vs 1.58-Bit Ternary Models: A Practical Comparison

The article compares traditional quantization methods (like INT4/INT8) used for local LLMs with the emerging 1.58-bit ternary quantization approach found in projects like BitNet b1.58. It highlights the simplicity of ternary models, which use only -1, 0, or +1 for weights, contrasting them with standard post-training quantization techniques.