Ollama Course

28 Oct Ollama Tutorial

Posted at 11:55h in Ollama, Tutorials by

Ollama is an open-source platform to download, install, manage, run, and deploy large language models (LLMs). All this can be done locally with Ollama. LLM stands for Large Language Model. These models are designed to understand, generate, and interpret human language at a high level.

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.

Ollama Tutorial (English)

Learn Ollama via a video course:

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.

Viewers

The Ollama tutorial is prepared for students, engineers, and professionals. It will help them understand the AI concepts for LLMs, AI models, modelfiles, etc.

Ollama Tutorial

FAQs

Q1: What is Ollama and why is it used for running LLMs locally?

Ans: Ollama is an open-source tool designed to run, build, and manage Large Language Models (LLMs) locally on macOS, Linux, and Windows machines. It bundles model weights, configurations, and dependencies into a single package (a Modelfile) and provides a simple command-line interface and REST API, allowing developers to run models like LLaMA, Mistral, and Gemma offline with complete data privacy and zero API costs.

Q2: How do you download and run a model using Ollama?

Ans: Running an open-weight LLM with Ollama requires a single terminal command:

ollama run llama3

This command automatically downloads the specified model weights from the Ollama library registry (if not already cached locally) and launches an interactive chat session directly in your terminal.

Q3: What is a Modelfile in Ollama and how is it used to customize models?

Ans: A Modelfile is a blueprint file used by Ollama to define, customize, and package local models. Similar to a Dockerfile, it allows you to specify a base model (FROM), set custom system instructions (SYSTEM), configure inference parameters like temperature (PARAMETER temperature 0.7), and define default prompt templates (TEMPLATE).

Q4: How does Ollama integrate with developer tools, frameworks, and web UIs?

Ans: Ollama exposes a local REST API endpoint (by default at http://localhost:11434) that provides OpenAI-compatible endpoints (/v1/chat/completions). This allows seamless integration with popular frameworks like LangChain, LlamaIndex, and AutoGen, IDE extensions like Continue or Cursor, and local graphical interfaces like Open WebUI.

Q5: What core local AI workflows and commands are covered in Studyopedia’s Ollama tutorial?

Ans: Studyopedia’s Ollama tutorial covers installing Ollama across Windows, macOS, and Linux, fundamental CLI commands (ollama run, pull, ls, rm, show), managing local GPU hardware acceleration, creating custom models using Modelfiles, integrating Ollama with Python and LangChain, and connecting Ollama to Open WebUI for a private ChatGPT-like interface.

Ollama Tutorial Index

Section A: Ollama – Introduction & Setup

  1. Ollama – Introduction and Features
  2. Install Ollama on Windows locally

Section B: Setup LLMs locally with Ollama

  1. Install Llama 3.2 locally
  2. Install Mistral 7b locally

Section C: Ollama – Commands and Usage

  1. List all the models running on Ollama locally
  2. List the models installed on your system with Ollama
  3. Show the information of a model using Ollama locally
  4. How to stop a running model on Ollama
  5. How to run an already installed model on Ollama

Section D: Create and Run a ChatGPT-like model with Ollama

  1. Customize the model and create and run a ChatGPT-like model with Ollama locally

Section E: Ollama – Remove a model

  1. Remove a model from Ollama locally

What you’ll learn

  • Learn what is Ollama
  • Work with different LLMs using Ollama locally
  • Create a custom ChatGPT-like model with Ollama
  • Learn to use the Ollama commands
  • Customize a model locally
  • Learn to run LLMs locally on your system

Who this course is for

  • Beginner Machine Learning Developers
  • Those who want to create a model
  • Those who want to run LLMs locally
  • Those who want to install any open-source LLM locally
  • Those who want to learn what is Ollama, Llama, Mistral, etc.

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