Comment by 4RealFreedom

Quantization compresses the model’s parameters and you lose precision in the process. My understanding from the article was that precision wasn't lost - 'It actually had higher resolution than Extended-precision floating point math!'. The point of quantization is to make the model smaller to fit into available ram. I think the OP is referring to computation which is a different beast.