Llm Pre Training, Llm Architecture, Model Quantization, Scaling Model Training, Llm Domain Adaptation.
(INT8). This reduction in precision helps optimize the memory footprint of the models. Quantization Process and Memory Savings Quantization statistically projects the original 32-bit floating-point numbers into lower-precision spaces, utilizing scaling factors derived from the range of the original