Add model card for GeoFocus-3B
#1
by
nielsr
HF Staff
- opened
README.md
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---
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pipeline_tag: image-text-to-text
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library_name: transformers
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tags:
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- geometry
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- math
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- vision-language
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- reasoning
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---
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# GeoFocus-3B
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GeoFocus is a framework designed to enhance multimodal geometry reasoning in Large Multimodal Models (LMMs). It addresses the challenges of geometry problem-solving by focusing on both global shape recognition and intricate local relationships through two core modules:
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1. **Critical Local Perceptor**: Automatically identifies and emphasizes critical local structures (e.g., angles, parallel lines, comparative distances) using theory-based perception templates.
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2. **VertexLang**: A compact topology formal language that encodes global figures through vertex coordinates and connectivity relations, improving efficiency and accuracy compared to traditional code-based encodings.
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## Model Details
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- **Architecture:** Based on Qwen2.5-VL
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- **Paper:** [GeoFocus: Blending Efficient Global-to-Local Perception for Multimodal Geometry Problem-Solving](https://huggingface.co/papers/2602.08524)
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- **Repository:** [GitHub - dle666/GeoFocus](https://github.com/dle666/GeoFocus)
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## Evaluation Results
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GeoFocus demonstrates significant improvements over specialized models across major geometry benchmarks:
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| Model Name | Geo3K | GeoQA | Formalgeo7k |
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| :---: | :---: | :---: | :---: |
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| **GeoFocus-3B** | 50.4 | 64.3 | 55.4 |
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| **GeoFocus-7B** | 55.3 | 71.9 | 63.5 |
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## Environment and Installation
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To use this model, ensure you have the following requirements installed:
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- Python 3.9+
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- transformers>=4.51.0
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- flash-attn>=2.4.3
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- vllm>=0.8.3
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```bash
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pip install transformers>=4.51.0 flash-attn>=2.4.3 vllm>=0.8.3
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```
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## Citation
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```bibtex
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@article{chen2026geofocus,
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title={GeoFocus: Blending Efficient Global-to-Local Perception for Multimodal Geometry Problem-Solving},
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author={Jiuhai Chen and Jianwei Yang and Haiping Wu and Dianqi Li and Jianfeng Gao and Tianyi Zhou and Bin Xiao},
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journal={arXiv preprint arXiv:2602.08524},
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year={2026}
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}
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```
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