Model Merging
A technique to combine the weights of multiple fine-tuned models into a single, unified model without requiring expensive retraining or gradient updates.
Think of It Like This
Like melting down two specialized swords to forge a single, master weapon that inherits the strengths of both.
Algorithms like SLERP (Spherical Linear Interpolation) or TIES-Merging average the parameter matrices of models derived from the same base architecture. This allows developers to combine a model excelling at coding with one excelling at creative writing. It is a highly efficient way to create powerful generalist models.