Quantization

A quantized model represents weights or activations using fewer bits than the original model. This can make models faster and cheaper to run on constrained hardware, though teams must evaluate whether the reduced precision affects accuracy or output quality. In practical applications, it often interacts with prompting, retrieval, model serving, guardrails, and evaluation rather than operating as a standalone model call.