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README.md

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