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801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard
Super Data Science: ML & AI Podcast with Jon Krohn
Automated Model Merging for Enhanced Results
Automated model merging utilizes a script in the mergekit library called mergekit evolve, which enables users to select input models, define tasks for excellence, and generate a merged model seamlessly. This approach eliminates the need for manual parameter mutation and intuition building by allowing users to specify their requirements and obtain the desired merge outcome. Evolutionary model merging mimics evolutionary algorithms by randomly combining parts of models to create children models, evaluating their performance, and breeding subsequent generations from the best performers, ensuring an effective and flexible merging process.
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