M

Minicpm Llama3 V 2 5 Int4

Developed by openbmb
The int4 quantized version of MiniCPM-Llama3-V 2.5 significantly reduces GPU VRAM usage to approximately 9GB, suitable for visual question answering tasks.
Downloads 17.97k
Release Time : 5/19/2024

Model Overview

This is an int4 quantized model based on MiniCPM-Llama3-V 2.5, primarily used for visual question answering tasks, capable of understanding image content and answering related questions.

Model Features

Low VRAM Usage
The int4 quantized version significantly reduces GPU VRAM usage to approximately 9GB, suitable for resource-limited environments.
Visual Question Answering Capability
Capable of understanding image content and answering related questions, suitable for various visual question answering scenarios.
Streaming Output Support
Supports streaming output, suitable for real-time interactive applications.

Model Capabilities

Image Content Understanding
Visual Question Answering
Multilingual Support

Use Cases

Education
Image Content Q&A
Used in educational settings where students can upload images and ask questions, with the model providing answers.
Improves learning efficiency and interactivity.
Intelligent Customer Service
Visual Customer Service
Users upload product images, and the model answers questions about the products.
Enhances customer service efficiency and user experience.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase