Update README.md

README.md

@@ -25,7 +25,7 @@ pipeline_tag: text-generation
 
 Qwenvergence is a component of the [Lamarck project](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.7), which iteratively merges a model_stock alongside its previous version as a first step to a complex merge strategy.
 
-Some of the models have pre-applied LoRAs.  In this case, a rank 128 adapter from Lamarck 0.7 was used to prevent sharp regressions to other scores.
+Some of the models have pre-applied LoRAs.  In this case, a rank 128 adapter from Lamarck 0.7 was used to prevent sharp regressions in its performance.
 
 I attribute this model's record-breaking MATH score of 44.18%, for a 14B model on the Open LLM Leaderboard, to its combination of Krystalan/DRT-o1-14B and huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated.  These are strong models individually, but this is an area of synergy when they are merged.