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A newer version of the Gradio SDK is available: 6.24.0
metadata
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:
- Observes each image for relevant information
- Extracts evidence from each image
- Reasons over the collected evidence
- Answers the question grounded in the evidence
Based on Qwen2.5-VL-7B-Instruct, fine-tuned with Reward-Scoped GRPO.
- Paper: VisRAG2.0
- Model: openbmb/EVisRAG-7B
- Code: GitHub