Before revision:  The most extreme quantization is a 1-bit representation of parameters such that they have only two possible values, typically -1(0) or + 1. Models that constrain the weights to binary values enable efficient implementation of the ubiquitous dot product by additions only without requiring floating point multiplications which is beneficial for resources constrained inference .
After revision:  The most extreme quantization is a 1-bit representation of parameters such that they have only two possible values, typically -1(0) or + 1. Models that constrain the weights to binary values enable efficient implementation of the ubiquitous dot product using only additions .