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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tessl review fix ./backend/cli/skills/ml-training/model-merging/SKILL.mdThe canonical home for this skill is model-merging in OpenLAIR/dr-claw
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