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DeepScaleR: 1.5B Model Achieves 43.1% Pass@1 on AIME2024

Developed by Sijun Tan (UC Berkeley) & team, this model smashes benchmarks w/ a 43.1% Pass@1 accuracy on AIME2024, a +14.3% over its base model! DeepScaleR, a 1.5B parameter model fine tuned from Deepseek-R1-Distilled-Qwen-1.5B. Watch for more: https://
bit.ly/4kmLiRf

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