Quantization — Reducing the precision of model weights from 32-bit to 16-bit, 8-bit, or even 4-bit to shrink model size and speed up inference. A 70B model at 4-bit quantization fits in 35GB of RAM instead of 140GB. Essential for running large models on consumer hardware.
Why It Matters
Understanding Quantization is critical for developers and decision-makers working with AI systems. As the technology evolves rapidly, knowing these fundamentals separates informed decisions from costly mistakes.
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