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Model Merging and Weight Interpolation

Master model merging techniques, from simple weight averaging and Task Arithmetic to TIES-Merging and DARE, including practical guidance on using mergekit for combining specialized models.

What you'll master

Model Soup (uniform weight averaging)

Task Arithmetic (task vectors and linear combination)

TIES-Merging (trim, elect, disjoint merge)

DARE (drop and rescale for sparse merging)

SLERP and geometric interpolation

mergekit and practical merging workflows

Hard18 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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Code examplesArchitecture diagramsModel answersScoring rubricCommon pitfallsFollow-up Q&A

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