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GD-ML/Qwen2.5-Math-7B-GPG
Qwen2.5-Math-7B-GPG is a machine learning model from GD-ML. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning
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From the Hugging Face model README
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning
https://arxiv.org/abs/2504.02546
The RL model (GPG-7B in paper) trained on the simple1r_qwen_level3to5 dataset based on GPG, using Qwen2.5-Math-7B as the baseline model.
Due to changes in environment and devices, test results may fluctuate. Specifically, when tested on an NPU, the average accuracy of five datasets (AIME24, AMC23, MATH-500, Minerva and OlympiadBench) is 57.7. However, when tested on an H20 GPU, the average accuracy drops from 57.7 to 55.3. These fluctuations are entirely within an acceptable range.