ModelHub XC 3bee53c6b1 初始化项目,由ModelHub XC社区提供模型
Model: daviddavidlu/PrAg-PO-Qwen3-1.7b-step720
Source: Original Platform
2026-05-30 09:43:18 +08:00

license, base_model, library_name, pipeline_tag, tags
license base_model library_name pipeline_tag tags
apache-2.0
Qwen/Qwen3-1.7B
transformers text-generation
mathematical-reasoning
reinforcement-learning
grpo

Model Card for PrAg-PO Qwen3-1.7B step720

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This is the step 720 checkpoint when training Qwen3-1.7B on MATH Level-3-to-5 Dataset using PrAg-PO. The training procedure is outlined in the paper PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning.

Model Sources

Uses

This model is intended for mathematical reasoning tasks. It leverages prompt augmentation to generate reasoning traces under diverse templates, increasing rollout diversity and stability during RL training.

Results

Citation

@misc{lu2026pragpopromptaugmentedpolicy,
      title={PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning}, 
      author={Wenquan Lu and Hai Huang and Enqi Liu and Randall Balestriero},
      journal={arXiv preprint arXiv:2602.03190},
      url={https://arxiv.org/abs/2602.03190},
      year={2026},
}
Description
Model synced from source: daviddavidlu/PrAg-PO-Qwen3-1.7b-step720
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Languages
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