Model Merging
orchestra-research/ai-research-skills/19-emerging-techniques/model-mergingby 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.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/coefficient-tuning.md | 14.3 KB | text/markdown |
| references/evaluation.md | 11.4 KB | text/markdown |
| references/examples.md | 8.6 KB | text/markdown |
| references/methods.md | 9.3 KB | text/markdown |
| SKILL.md | 12.5 KB | text/markdown |
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.
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