Skip to content

Latest commit

 

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ollama

Ollama 3.2 Vision Demonstration


Table of Contents
  1. Introduction
  2. Tools Used
  3. Demonstration
  4. Future

Introduction

This is a repository made to demonstrate the cability and usefulness of Llama 3.2 vision, it is meant to show how the model can do in a professional use case, an example of how it should do is on Blind-Spot which uses Google Gemini. The whole point is to test whether or not this model can act as a good replacement and if it exceeds the performance and usefulness of Gemini, the next phase of testing will occur after work in this repository is done which will be the use of an agent through one of the models or both, to test which is better and should be used in the for seeable future.

Tools Used

The tools used are:

Python Ollama Langchain Streamlit

Demonstration

The way the image description will be demonstrated is via a video on a basic Streamlit Application that will use the model to take in various images and show the description out to the user, the whole point is to mimic Blind-Spots and show if any changes can be made to the model to make better descriptions and help blind people better through the use of a new model. Video Link TBD

Future

As stated before the point is to create an agent using either Gemini or Ollama to provide better descriptions to the user while ensuring the best possible resources and model. Any future repository made based on this data will be listed below.

About

A basic example of a Llama3.2 vision application!

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages