GLOSSARY TERM

What is Model Quantization?

A technique to reduce the computational and memory costs of running a model by representing its weights with lower-precision data types.
Quantization is essential for deploying massive LLMs into Private AI inference engines on cost-effective hardware, drastically reducing the required GPU memory footprint.

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