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README.md

@@ -5,7 +5,7 @@ license: mit
 
 ## Overview
 
-The 'test-deepseek-r1-distill-qwen-1.5b' model is a distilled version of the DeepSeek-R1 model, designed to facilitate efficient natural language understanding and generation tasks. It is optimized for a variety of applications, including conversational agents, content creation, and data analysis, while maintaining a balance between performance and computational efficiency. Leveraging advancements in transformer architecture, this model excels in context recognition and can generate coherent, contextually relevant responses. Users have reported improvements in processing speed and resource utilization compared to its larger predecessors. Overall, 'test-deepseek-r1-distill-qwen-1.5b' serves as an effective tool for developers seeking scalable solutions for real-time AI applications.
+The 'test-deepseek-r1-distill-qwen-1.5b' model is a distilled variant of the DeepSeek architecture, designed to provide efficient natural language understanding and generation capabilities. It leverages the advancements from 'deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B', optimizing performance while reducing computational requirements. This model targets a range of applications, including conversational AI, content generation, and text summarization, making it ideal for integrating into chatbots, virtual assistants, and automated writing tools. Benchmarked for performance, it exhibits strong capabilities in maintaining context, generating coherent responses, and understanding nuanced queries. Overall, it serves as a lightweight yet powerful solution for developers seeking an effective language model for diverse tasks.
 
 ## Variants