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README.md
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### Thanks go to:
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- @arcee-ai's team for the
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- @CultriX for the helpful examples of memory-efficient sliced merges and evolutionary merging. Their contribution of tinyevals on version 0.1 of Lamarck did much to validate the hypotheses of the process used here.
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### Models Merged:
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### Thanks go to:
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- @arcee-ai's team for the ever-capable mergekit, and the exceptional Virtuoso Small model.
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- @CultriX for the helpful examples of memory-efficient sliced merges and evolutionary merging. Their contribution of tinyevals on version 0.1 of Lamarck did much to validate the hypotheses of the process used here.
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- The authors behind the capable models that appear in the model_stock. The boost to prose quality is already noticeable.
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### Models Merged:
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