LLM Model Merging in Production: Reducing Parameter Interference with TIES/DARE, Calibration Sets, and Capability Regression Gates
Model merging combines multiple fine-tuned models without retraining, but parameter conflicts, tokenizer mismatches, and capability overlap amplify production risks. This article covers TIES, DARE, calibration set selection, artifact fingerprints, and regression gates for production deployment.