Update README.md

README.md

@@ -9,7 +9,7 @@ This model is fine-tuned from gemma-2-2b-it using a thinking dataset meticulousl
 
 ## Motivation
 
-Reasoning is a cornerstone of effective problem-solving, yet many language models struggle with tasks that require linear thought processes or adaptive strategies. To address this, we developed a reasoning-focused compact language model (LLM) capable of structured thinking, self-reflection, and iterative problem-solving. Our goal is to create a model that not only excels in reasoning tasks but also operates efficiently for broader accessibility.
+Reasoning is a cornerstone of effective problem-solving, yet many of the models trained for this task are quite large and too heavy for everyday usage, particularly when their extra long responses considered. To address this, we developed a reasoning-focused compact language model (LLM) capable of structured thinking, self-reflection, and iterative problem-solving. Our goal is to create a model that not only excels in reasoning tasks but also operates efficiently for broader accessibility.
 
 ## Usage