V

Vip Llava 7b

Developed by mucai
ViP-LLaVA is an open-source multimodal chatbot, fine-tuned on LLaMA/Vicuna with image and region-level instruction data.
Downloads 66.75k
Release Time : 12/3/2023

Model Overview

ViP-LLaVA is an autoregressive language model based on the Transformer architecture, primarily used for research in large multimodal models and chatbots.

Model Features

Multimodal capability
Combines visual and language understanding to process both image and text inputs
Regional-level visual understanding
Capable of understanding and reasoning about specific regions in images
Open-source accessibility
Model is open-source and available for research and development
High performance
Achieves state-of-the-art performance on multiple regional-level benchmarks

Model Capabilities

Image understanding
Regional-level visual reasoning
Multimodal dialogue
Image caption generation

Use Cases

Academic research
Multimodal model research
Used to study the performance and capabilities of vision-language models
Excellent performance on benchmarks like RegionBench
Computer vision research
Used to study image understanding and regional-level visual reasoning
Application development
Intelligent chatbot
Develop dialogue systems capable of understanding image content
Image analysis tool
Develop tools capable of analyzing specific regions in images
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