Local AI Stack

Creating My Own Local AI Stack#

As someone fascinated by artificial intelligence, I’ve always wanted to have my own local AI stack that I can use for various tasks, from generating text to creating stunning images. In this guide, I’ll walk you through my journey of setting up a local AI stack using Ollama, Msty (or Ollamac), and DiffusionBee (or EasyDiffusion).

What is a Local AI Stack?#

A local AI stack refers to a collection of artificial intelligence software and tools that run on my own computer, rather than relying on cloud-based services. This approach gives me more control over my data, better performance, and the ability to experiment with different models and configurations.

Who Can Benefit from a Local AI Stack?#

Anyone interested in artificial intelligence, machine learning, or natural language processing can benefit from a local AI stack. This includes:

• Developers and researchers who want to experiment with different models and configurations
• Artists and creatives who want to generate AI-powered art and music
• Students and educators who want to learn about AI and machine learning
• Anyone curious about the potential of AI and wants to explore its capabilities

The Components of My Local AI Stack#

To build my local AI stack, I’ve chosen three key components:

1. Ollama with LLaMA 3.2 Model: Ollama is an open-source AI framework that allows me to run large language models (LLMs) like LLaMA 3.2 on my local machine. LLaMA 3.2 is a state-of-the-art language model that can generate human-like text, answer questions, and even engage in conversations.
2. Msty (Windows) or Ollamac (Mac): Msty (or Ollamac on Mac) is a user-friendly chat interface that allows me to interact with Ollama and the LLaMA 3.2 model. It provides a simple and intuitive way to ask questions, provide input, and receive responses from the AI.
3. DiffusionBee (Mac) or EasyDiffusion (Windows): For AI-generated imagery, I’ve chosen DiffusionBee on my Mac (or EasyDiffusion on Windows). These tools use a process called diffusion-based image synthesis to generate stunning images from text prompts.

Why Choose These Components?#

I use both MacOS and Windows based computers so I selected these components because they offer a great balance of performance, ease of use, and flexibility on these operating systems. Ollama provides a robust framework for running LLMs, while Msty (or Ollamac) offers a user-friendly interface for interacting with the AI. DiffusionBee (or EasyDiffusion) is an excellent choice for AI-generated imagery, as it produces high-quality images with minimal effort.

How to Set Up My Local AI Stack#

Now that I’ve introduced the components, let’s dive into the setup process:

Step 1: Install Ollama and LLaMA 3.2 Model#

To install Ollama, Download the Ollama DMG from https://ollama.com/ and then pull the LLaMA 3.2 model using the following command:

ollama pull llama3.2:latest

the LLaMa 3.2 model is now available on your computer and can be run with:

ollama run llama3.2:latest

You can type messages to the LLM to get responses much the same way as you would with a commercial tool like ChatGPT, when you need to quit type /exit

Step 2: Install Msty (Windows) or Ollamac (Mac)#

Next, I’ll install Msty (or Ollamac) to interact with Ollama:

• Download the Msty app from https://msty.app/ (or Ollamac from https://github.com/kevinhermawan/Ollamac)
• Configure Msty to connect to Ollama as a local model https://docs.msty.app/features/model-selector#configuring-local-models (Ollamac will default to using a local model provided by Ollama)

Msty#

Ollamac#

Step 3: Install DiffusionBee (Mac) or EasyDiffusion (Windows)#

For AI-generated imagery, I’ll install DiffusionBee (or EasyDiffusion):

• Download DiffusionBee (or EasyDiffusion )
• Follow the installation instructions for my operating system (Mac or Windows)
• Configure DiffusionBee (or EasyDiffusion) to use the desired model and settings

DiffusionBee#

EasyDiffusion#

Conclusion#

Creating my own local AI stack has been an exciting journey, and I’m thrilled to have Ollama, Msty (or Ollamac), and DiffusionBee (or EasyDiffusion) at my fingertips. With this setup, I can explore the possibilities of AI-generated text and imagery, and I’m eager to see what the future holds for this technology. If you’re interested in joining me on this journey, I encourage you to follow this guide and start building your own local AI stack today!