Llm, AI, Deep Learning, Optimization.
Q/DQ (quantize then de-quantize) — Source QAT Mechanism QAT employs a novel approach of utilizing ‘fake’ quantization modules, marked as Q/DQ (quantize then de-quantize), during training. This enables the model to acclimatize to low-precision weights and account for calculation errors inherent to