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.
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Installation for Agentic Skill
View all platforms →skilz install zechenzhangAGI/AI-research-SKILLs/model-mergingskilz install zechenzhangAGI/AI-research-SKILLs/model-merging --agent opencodeskilz install zechenzhangAGI/AI-research-SKILLs/model-merging --agent codexskilz install zechenzhangAGI/AI-research-SKILLs/model-merging --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/zechenzhangAGI/AI-research-SKILLscp -r AI-research-SKILLs/19-emerging-techniques/model-merging ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- zechenzhangAGI (GitHub)
- Repository
- AI-research-SKILLs
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- machine learning models model
- Market Score
- 25
Browse Category
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