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  # Model Overview
 
 
 
 
 
 
 
 
 
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  ### Description:
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  DLER-Qwen-R1-7B is an ultra-efficient 7B open-weight reasoning model designed for challenging tasks such as mathematics, programming, and scientific problem-solving. It is trained with the DLER algorithm on agentica-org/DeepScaleR-Preview-Dataset. Compared to DeepSeek’s 7B model, DLER-Qwen-R1-7B achieves substantial efficiency gains, reducing the average response length by nearly 80% across diverse mathematical benchmarks with better accuracy.
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  # Model Overview
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+ <div align="center">
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+ <span style="font-family: default; font-size: 1.5em;">DLER-R1-7B</span>
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+ <div>
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+ 🚀 The leading efficient reasoning model for cutting-edge research and development 🌟
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+ </div>
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+ </div>
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+ ![Comparison between DeepSeek-R1-7B and DLER-R1-7B](./asset/latency_7b.png)
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  ### Description:
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  DLER-Qwen-R1-7B is an ultra-efficient 7B open-weight reasoning model designed for challenging tasks such as mathematics, programming, and scientific problem-solving. It is trained with the DLER algorithm on agentica-org/DeepScaleR-Preview-Dataset. Compared to DeepSeek’s 7B model, DLER-Qwen-R1-7B achieves substantial efficiency gains, reducing the average response length by nearly 80% across diverse mathematical benchmarks with better accuracy.
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