Technique

Model Merging

Combining the weights of multiple fine-tuned models into a single composite model.

Definition

Model merging (SLERP, task arithmetic, TIES, DARE) averages or blends fine-tuned checkpoints to combine capabilities without re-training. It has become a staple of the open community for producing strong general-purpose Llama or Mistral variants.

Common use cases

  • Capability composition
  • Open community models
  • Cost-efficient specialisation

Related terms

    Model Merging — AI Glossary | Railwail