How to Use LLaVA: Large Language and Vision Assistant

A Guide to the Large Language and Vision Assistant

Introduction

The fusion of language and vision models has opened up new horizons for developers and researchers. LLaVA, the Large Language and Vision Assistant, is a cutting-edge tool that brings together the capabilities of large language models with the power of vision. This article will guide you through the process of setting up and using LLaVA, ensuring you harness its full potential.

Installation

Before diving into the functionalities of LLaVA, it’s crucial to have it correctly installed in your environment. Proper installation ensures seamless integration with other tools and optimal performance.

# Clone the LLaVA repository
git clone https://github.com/haotian-liu/LLaVA.git
cd LLaVA

# Set up the environment
conda create -n llava python=3.10 -y
conda activate llava
pip install --upgrade pip
pip install -e .

LLaVA Weights

Weights are the backbone of any machine learning model. They determine how the model will interpret and process the input data. LLaVA offers a variety of pre-trained weights, optimized for different tasks.

• Check out the Model Zoo for all…