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Optimized Layer Merging (OLM)
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Is a transformer optimization framework implementing automated layer recombination.
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https://github.com/jeffmeloy/olm
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Optimized Layer Merging (OLM)
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Is a transformer optimization framework implementing automated layer recombination.
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Olm create Frankenstein's monster out of language models by cherry-picking the best performing layers across different models to create a superior hybrid.
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The core mechanism:
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- Takes multiple language models as input
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- Uses a base model as the foundation
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- Iteratively replaces individual layers, evaluating performance on specified datasets
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- Keeps the best performing layer at each position based on metrics like perplexity, exact match, and a custom "quality" score
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- Builds a fusion model layer-by-layer while maintaining or improving performance
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https://github.com/jeffmeloy/olm
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