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Llava Mini Llama 3.1 8b

Developed by ICTNLP
LLaVA-Mini is an efficient multimodal large model that significantly improves the efficiency of image and video understanding by using only 1 visual token to represent an image.
Downloads 12.45k
Release Time : 1/7/2025

Model Overview

LLaVA-Mini is a unified multimodal large model that efficiently supports the understanding of images, high-resolution images, and videos. Guided by research on interpretability within multimodal models, LLaVA-Mini significantly enhances efficiency while maintaining visual capabilities.

Model Features

Single Visual Token Efficient Representation
Only 1 token is needed to represent each image, significantly improving processing efficiency.
Efficient Computation
Reduces floating-point operations by 77%, decreasing response latency from 100ms to 40ms.
Low GPU Memory Usage
Reduces GPU memory usage from 360MB/image to 0.6MB/image, supporting 3-hour video processing.
Unified Multimodal Processing
Unified support for understanding images, high-resolution images, and videos.

Model Capabilities

Image Understanding
Video Understanding
High-Resolution Image Processing
Multimodal Reasoning
Text Generation

Use Cases

Visual Content Analysis
Image Content Description
Analyze image content and generate descriptive text
Accurately identifies objects and scenes in images.
Video Content Understanding
Understand video content and generate summaries
Can describe the main events occurring in the video.
Interactive Applications
Visual Question Answering System
Answer user questions about image or video content
Provides accurate and contextually relevant answers.
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