model-merging
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.
- Version
- 1.0.0
- License
- MIT
Pinned to revision df088027ff23, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/model-merging/SKILL.md
- skills/model-merging/references/coefficient-tuning.md
- skills/model-merging/references/evaluation.md
- skills/model-merging/references/examples.md
- skills/model-merging/references/merge-methods-guide.md
- skills/model-merging/references/methods.md
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