---
title: EVisRAG Multi-Image VQA
emoji: 🔍
colorFrom: blue
colorTo: pink
sdk: gradio
sdk_version: 6.21.0
app_file: app.py
short_description: Evidence-guided multi-image visual question answering
python_version: "3.12"
startup_duration_timeout: 30m
---

# EVisRAG-7B: Evidence-Guided Multi-Image VQA

This Space runs **EVisRAG-7B** (VisRAG 2.0), a multi-image visual question-answering model that
mitigates visual hallucinations via evidence-guided reasoning.

Given a question and 1–5 retrieved images, the model:
1. **Observes** each image for relevant information
2. **Extracts evidence** from each image
3. **Reasons** over the collected evidence
4. **Answers** the question grounded in the evidence

Based on [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct), fine-tuned
with Reward-Scoped GRPO.

- Paper: [VisRAG2.0](https://huggingface.co/papers/2510.09733)
- Model: [openbmb/EVisRAG-7B](https://huggingface.co/openbmb/EVisRAG-7B)
- Code: [GitHub](https://github.com/OpenBMB/VisRAG)