Model Merging: Combining Pre-trained Models When to Use This Skill Use Model Merging when you need to: - Combine capabilities from multiple fine-tuned models without retraining - Create specialized models by blending domain-specific expertise (math + coding + chat) - Improve performance beyond single models (often +5-10% on benchmarks) - Reduce training costs - no GPUs needed, merges run on CPU - Experiment rapidly - create new model variants in minutes, not days - Preserve multiple skills - merge without catastrophic forgetting Success Stories : Marcoro14-7B-slerp (best on Open LLM Leaderboa…