Ollama Tutorial for Beginners | Run LLMs locally with ease

Welcome to the Ollama Course by Studyopedia !!!

Ollama is an open-source platform for downloading, installing, managing, running, and deploying large language models (LLMs). It can be done locally. LLM stands for Large Language Model. These models are designed to understand, generate, and interpret human language at a high level.

Features

• Model Library: Offers a variety of pre-built models like Llama 3.2, Mistral, etc.

• Customization: Allows you to customize and create your own models

• Easy: Provides a simple API for creating, running, and managing models

• Cross-Platform: Available for macOS, Linux, and Windows

• Modelfile: Packages everything you need to run an LLM into a single Modelfile, making it easy to manage and run models

Popular LLMs, such as Llama by Meta, Mistral, Gemma by Google's DeepMind, Phi by Microsoft, Qwen by Alibaba Clouse, etc., can run locally using Ollama.

Why LLMs are run locally

You may need to run LLMs locally for enhanced security, get full control of your data, reduce risks associated with data transmission and storage on external servers, customize applications without relying on the cloud, etc.

In this course, you will learn about Ollama and how it eases the work of a programmer running LLMs. We have discussed how to begin with Ollama, install, and tune LLMs like Lama 3.2, Mistral 7b, etc. We have also covered how to customize a model and create a teaching assistant like ChatBot locally by creating a modefile.

**Lessons covered**

1. Ollama - Introduction and Features

2. Install Ollama Windows 11 locally

3. Install Llama 3.2 Windows 11 locally

4. Install Mistral 7b on Windows 11 locally

5. Create a custom GPT or customize a model with Ollama

6. List all the models running on Ollama locally

7. List the models installed on your system with Ollama

8. Show the information of a model using Ollama locally

9. How to stop a running model on Ollama

10. How to run an already installed model on Ollama locally

11. Remove any model from Ollama locally

Note: We have covered only open-source technologies

Note: Updated with DeepSeek

Let's start the journey!