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README.md

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+When using the QwQen-3B-LCoT-R1 model, you might notice that it can sometimes produce repetitive outputs, especially in certain contexts or with specific prompts. This is a common behavior in language models, but don’t worry—it can be managed effectively by tweaking the model’s repetition parameters.
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+### To reduce repetition, you can experiment with the following settings:
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+- 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.
+- 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.
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 ## System Prompt:
 
 ```