Quantization-Aware Healing (QAH) improves the recovery of structurally compressed, 4-bit models by distilling the 4-bit student directly from the original uncompressed model. This avoids the slow convergence and performance collapse observed in standard quantization-aware training (QAT).
HOW THIS AFFECTS YOU
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builderYou can deploy high-performance, low-bitrate models without losing significant reasoning capabilities.