How to Install Ollama and Use Local LLMs

While cloud-based LLM services are common, there’s growing demand for running LLMs in local environments from the perspectives of privacy and response speed. Today, I’ll introduce how to install and utilize LLMs in local environments using Ollama.

What is Ollama?

Ollama is a tool that enables easy setup and operation of large language models (LLMs) in local environments. The official website (Ollama) provides various models including Llama 3.2 and Gemma 2. By running LLMs locally, you can ensure data privacy while achieving fast responses.

Ollama Installation Steps

Follow these steps to install Ollama and set up a local LLM.

1. Install Ollama

Install Ollama using Homebrew. Open your terminal and execute the following command:

brew install ollama

2. Start the Ollama Server

Once installation is complete, start the Ollama server:

ollama serve

3. Run Llama 3.2 with Ollama

Let’s run Llama 3.2, one of the models provided by Ollama. Execute the following command:

ollama run llama3.2

This will start the Llama 3.2 model and display an interactive prompt. From here, you can input questions or instructions in natural language to get responses from the model.

Other Available Models

Besides Llama 3.2, Ollama offers various other models. Here are some major ones:

Summary

Using Ollama makes it possible to easily introduce and operate LLMs in local environments. It’s an ideal tool for privacy-focused projects and applications requiring low latency.

That’s all from the Gemba.