A Quick Guide to Quantization for LLMs

Machine Learning Tech Brief By HackerNoon

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Quantization is a technique that reduces the precision of a model’s weights and activations.
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Quantization is a technique that reduces the precision of a model’s weights and activations. Quantization helps by: Shrinking model size (less disk storage) Reducing memory usage (fits in smaller GPUs/CPUs) Cutting down compute requirements.