MoCo: A One-Stop Shop for Model Collaboration Research
MoCo is a Python library designed to execute, benchmark, and compare 26 diverse model collaboration algorithms at scale. It supports various information exchange levels—from text to model parameters—and includes 25 evaluation datasets. Experiments show that most collaboration strategies improve performance in 61% of settings, proving that combining multiple language models can significantly outperform single models.