Getting Started with Ollama for Local AI

Are you looking to harness the power of large language models on your own computer? Look no further, as Ollama is here to make it happen. Ollama is a groundbreaking platform that allows you to run and interact with language models locally, providing advantages in privacy, cost, and performance. In this tutorial, we’ll walk you through the steps to install and use Ollama, whether you’re a developer, researcher or just an AI enthusiast. Learn more about Ollama and get ready to revolutionize the way you interact with language models.

Installing Ollama on Your System

Before we dive into running Ollama, let’s set up your system. The installation process may differ based on your operating system. For macOS users, you can install Ollama using Homebrew, a package manager that simplifies the installation of software on macOS.

For macOS:

First, ensure Homebrew is installed on your system, then run the following command in your terminal to install Ollama:

brew install ollama

For Linux and WSL2:

For Linux and Windows Subsystem for Linux 2 (WSL2) users, Ollama requires a manual installation. Visit the Ollama download page and select the installation instructions for your specific OS.

Running Your First Language Model

After installation, you can start a language model by entering a command into your terminal. Ollama supports several open-source models which are accessible from their library.

To fire up Llama 2, for instance, after the installation is complete, enter:

ollama run llama2

If Llama 2 is not installed on your system, Ollama will begin the download process.

Running Ollama as a Server with API Access

Ollama isn’t just for individual model runs – it can also operate as a server with a REST API for managing models. This server functionality enables integration into your personal or enterprise applications, allowing others to access the models you’ve set up.

Configuring Ollama Server

To commence an Ollama server instance, use the following command:

ollama serve

Your server will now be running, and you can call the REST API using a client of your choice to interact with your models.

curl http://localhost:11434/api/generate -d '{
  "model": "llama2",
  "prompt":"Why is the sky blue?"

Conclusion and Call to Action

Ollama is an innovative and versatile tool that simplifies the task of running large language models locally on your machine. Whether you’re a developer, data scientist, or tech enthusiast, Ollama offers a wealth of features and capabilities that can transform your language model projects.