Quantization and Compression

Post-Training Quantization (PTQ)

Precision reduction technique applied to an already trained model, without requiring complete retraining. It converts high-precision weights and activations (e.g., FP32) to lower-precision representations (e.g., INT8) to optimize inference.

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