Update README.md

README.md

@@ -13,7 +13,7 @@ When using the QwQen-3B-LCoT-R1 model, you might notice that it can sometimes pr
 
 ### To reduce repetition, you can experiment with the following settings:
 
-- Repetition Penalty: This parameter discourages the model from repeating the same words or phrases by applying a penalty. A higher value (e.g., 1.2) will push the model to avoid repetition more aggressively.
+- Repetition Penalty: This parameter discourages the model from repeating the same words or phrases by applying a penalty. A higher value (e.g., 1.0) will push the model to avoid repetition more aggressively.
 - Temperature: This controls the randomness of the output. Lowering the temperature (e.g., 0.7) makes the model more focused and less likely to repeat itself, though it may reduce creativity slightly.