HDRQ adds loss-surface flattening and source-weight distance regularization to post-training quantization, improving how well quantized domain-adapted models merge.
Git re-basin: Merging models modulo permutation symmetries
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Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
HDRQ adds loss-surface flattening and source-weight distance regularization to post-training quantization, improving how well quantized domain-adapted models merge.