evolutionary-merging

Darwin Family is a training-free framework for evolutionary merging of large language models via gradient-free weight-space recombination, achieving strong reasoning performance without additional training. The method introduces MRI-Trust Fusion and cross-architecture breeding to combine heterogeneous models.