For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /get-started.md).
Mojo package
quantization
This package contains a set of APIs for quantizing tensor data.
Quantization is a technique used to reduce the precision of floating-point numbers, which are used in most neural networks. Quantization is a type of lossy compression, which means that some precision is lost, but the resulting tensors take less memory and computations are faster.