Model Merging

orchestra-research/ai-research-skills/19-emerging-techniques/model-merging

by orchestra-research773a52944ba4MIT13K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 months ago

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.

Instructions onlyAI & Agents
  1. 773a52944ba4Currentcommit 773a529Published Oct 8, 2026

Source and attribution

Source:orchestra-research/ai-research-skillsin19-emerging-techniques/model-mergingat commit773a529

License: MIT

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal