Mixing a pre-trained model's weights with its instruction-tuned version at an intermediate ratio yields models that are more accurate than the instructed model and substantially better calibrated.
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Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
Mixing a pre-trained model's weights with its instruction-tuned version at an intermediate ratio yields models that are more accurate than the instructed model and substantially better calibrated.