The realm of artificial intelligence exposes a constant tide of novel models. These models, sometimes released prematurely, provide a unique opportunity for researchers and enthusiasts to deconstruct their inner workings. This article investigates the practice of dissecting leaked models, proposing a categorized analysis framework to uncover their