At a high level, merges allows you to get a lot of training done cheaply.

If you have a model finetuned on set A and another model finetuned on set B, merging these would allow you to very cheaply create a model that was trained on both set A and set B.

It is the magical solution to “I can’t afford to finetune a model”.