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SVE-Math-DeepSeek-7B
zs0506/SVE-Math-DeepSeek-7B
SVE-Math-DeepSeek-7B is a machine learning model from zs0506. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
🤖 SVE-Math-DeepSeek+-7B is a fine-tuned Multi-modal Large Language Model (MLLM) built upon SVE-Math-DeepSeek-7B, further enhanced using GeoPeP, a perception-oriented dataset of 200K high-quality geometry image-text p…
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At a glance
- Model type
- llava
- Access
- Public
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- 64eaff0d
Model card
From the Hugging Face model README
SVE-Math-DeepSeek+-7B
🤖 SVE-Math-DeepSeek+-7B is a fine-tuned Multi-modal Large Language Model (MLLM) built upon SVE-Math-DeepSeek-7B, further enhanced using GeoPeP, a perception-oriented dataset of 200K high-quality geometry image-text pairs.
This model is released as part of our project:
📘 "Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs (SVE-Math)"
🔗 Paper & Code: github.com/AI4Math-ShanZhang/SVE-Math
🔍 Key Features
- 💡 Designed to improve visual perception in mathematical diagrams.
- 📊 Fine-tuned on high-quality perception-oriented dataset (100K diagram-caption + 100K conversation).
- 🧠 GeoPeP explicitly structs diagrams into shapes, attributes, locations and relationships.
- ⚙️ Systematic investigation explores how visual perception impacts mathematical reasoning in MLLMs.
💬 Inference
You can refer to the official inference code and setup from our GitHub repo:
👉 https://github.com/AI4Math-ShanZhang/SVE-Math
- Type
- llava
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025