title: Mergenetic: a Simple Evolutionary Model Merging Library
summary: Model merging allows combining the capabilities of existing models into a new
  one - post hoc, without additional training. This has made it increasingly
  popular thanks to its low cost and the availability of libraries that support
  merging on consumer GPUs. Recent work shows that pairing merging with
  evolutionary algorithms can boost performance, but no framework currently
  supports flexible experimentation with such strategies in language models. We
  introduce Mergenetic, an open-source library for evolutionary model merging.
  Mergenetic enables easy composition of merging methods and evolutionary
  algorithms while incorporating lightweight fitness estimators to reduce
  evaluation costs. We describe its design and demonstrate that Mergenetic
  produces competitive results across tasks and languages using modest hardware.
paper_authors._id: 682ad9809506a7e45a93be00
paper_authors.name: Adrian Robert Minut
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paper_authors.fullname: Adrian Robert Minut
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paper_authors.name: Tommaso Mencattini
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paper_authors.fullname: Tommaso Mencattini
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paper_authors.name: Andrea Santilli
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paper_authors.fullname: Andrea Santilli
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paper_authors.user: teelinsan
paper_authors._id: 682ad9809506a7e45a93be03
paper_authors.name: Donato Crisostomi
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paper_authors.fullname: Donato Crisostomi
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paper_authors.user: crisostomi
paper_authors._id: 682ad9809506a7e45a93be04
paper_authors.name: Emanuele Rodolà
paper_authors.status: admin_assigned
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paper_authors._id: 652681664e066bf73f8e2bd1
paper_authors.avatarUrl: /avatars/084dec4765d9996d74901b8df95ec35f.svg
paper_authors.fullname: Emanuele Rodola'
paper_authors.type: user
paper_authors.user: erodola
paper_title: Mergenetic: a Simple Evolutionary Model Merging Library
paper_summary: Model merging allows combining the capabilities of existing models into a new
  one - post hoc, without additional training. This has made it increasingly
  popular thanks to its low cost and the availability of libraries that support
  merging on consumer GPUs. Recent work shows that pairing merging with
  evolutionary algorithms can boost performance, but no framework currently
  supports flexible experimentation with such strategies in language models. We
  introduce Mergenetic, an open-source library for evolutionary model merging.
  Mergenetic enables easy composition of merging methods and evolutionary
  algorithms while incorporating lightweight fitness estimators to reduce
  evaluation costs. We describe its design and demonstrate that Mergenetic
  produces competitive results across tasks and languages using modest hardware.
paper_ai_summary: Mergenetic is an open-source library that combines model merging with evolutionary algorithms for flexible experimentation in language models, achieving competitive results with limited computational resources.
paper_ai_keywords: model merging evolutionary algorithms fitness estimators