Update README.md

README.md

@@ -44,8 +44,7 @@ The first two layers come entirely from Virtuoso.  The choice to leave these lay
 
 - @arcee-ai's team for the ever-capable mergekit, and the exceptional Virtuoso Small model.
 - @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 DELLA->SLERP gradient process used here.
-- The authors behind the capable models that appear in the model_stock.  The boost to prose quality is already noticeable.
-
+- The authors behind the capable models that appear in the model_stock.
 ### Models Merged
 
 **Top influences:** These ancestors are base models and present in the model_stocks, but are heavily re-emphasized in the DELLA and SLERP merges.