This repository compiles academic papers and research on model merging techniques for large language models and multimodal models. The survey classifies existing model merging methods through a new taxonomic approach, discusses applications across domains including continual learning, multi-task learning, and few-shot learning, and identifies future research directions. Model merging allows combining models without requiring raw training data or expensive computation.