LLaVA-Plus v0 7B Open-source Model - Pluggable Learning Skills to Support Academic Research on Multimodal and Chatbots

Llava Plus V0 7b

Developed by LLaVA-VL

LLaVA-Plus is a pluggable learning skill-based large language and vision assistant, primarily used for academic research in multimodal models and chatbots.

Text-to-Image

Transformers

#Multimodal Dialogue #Pluggable Skills #Academic Research Only

Downloads 79

Release Time : 11/10/2023

Model Overview

LLaVA-Plus is a large-scale model combining language and vision capabilities, supporting multimodal tasks and suitable for academic research and experiments.

Model Features

Pluggable Learning Skills

Supports flexible expansion and integration of new vision and language skill modules.

Multimodal Capabilities

Combines language and vision understanding to support complex multimodal tasks.

Academic Research-Oriented

Focused on providing researchers with tools for experimenting and developing multimodal models.

Model Capabilities

Image Understanding

Visual Question Answering

Multimodal Dialogue

Text Generation

Use Cases

Academic Research

Multimodal Model Development

Used for researching and developing novel multimodal models that integrate language and vision.

Visual Question Answering System

Builds systems capable of understanding and answering questions about image content.

Property	Details
Model Type	LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills
Model Date	LLaVA-Plus-v0-7b was trained in September 2023.
Paper or Resources	https://llava-vl.github.io/llava-plus/
Question or Comment Channel	https://github.com/LLaVA-VL/LLaVA-Plus-Codebase/issues

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Llava Plus V0 7b

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 LLaVA-Plus Model Card

📚 Documentation

Model Details

Intended Use

Training Dataset

📄 License