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What is quantization and how much does it degrade the result?

FAQ

Quantization shrinks a model by storing its internal numbers at lower precision. A model with thirty billion parameters takes about sixty gigabytes at full precision and just under twenty at four-bit, so it fits on a single graphics card. The quality loss at four bits is usually small and at more aggressive levels noticeable. The exact figure for your task cannot be estimated, only measured on a test set, and that is part of our work.

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