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Model merging

Explore tools for combining model weights. Treat each resulting model as a new artifact to evaluate, with its own behavior, resource needs and applicable source-model licenses.

What to compare

  • Are the source-model licenses compatible with the intended use?
  • What evaluation detects regressions after a merge?
  • Can the original models and merge configuration be reproduced?

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MergeKit

Model merging

Arcee AI's MergeKit offers tools for merging pre-trained large language models, enabling the creation of more versatile AI agents by combining knowledge from different sources, akin to Retrieval Augmented Generation (RAG)

Model merging
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