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Openai/6939b23e-87cc-8001-bdd9-9546d1143ce9
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==== 1. Weight-only quantization - Only the model’s weights are stored in lower precision. ==== # Activation quantization - During inference, internal activations (layer outputs) are also stored in lower precision. # Dynamic vs static quantization - Static: pre-compute scaling factors for weights → faster but less flexible - Dynamic: adjust scale during inference → more accurate, slightly slower
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