The nvidia/DLER-R1-7B-Research model is a 7.6 billion parameter open-weight reasoning model developed by NVIDIA, based on the Qwen architecture. It is specifically designed for ultra-efficient performance in challenging tasks such as mathematics, programming, and scientific problem-solving. Utilizing the DLER algorithm, this model achieves significant efficiency gains, reducing response length by up to 80% on mathematical benchmarks while maintaining or improving accuracy compared to similar 7B models. It is intended for research and development purposes.
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Hugging Face