GitHub for AI Beginners: How to Clone and Run AI Tools (Complete Guide)

If you've ever tried to run a local AI tool like Ollama, Gemma 4, or LM Studio, you've seen this instruction:

git clone https://github.com/user/tool.git
cd tool
pip install -r requirements.txt
python main.py

And if you're not a developer, your stomach dropped. What is git clone? Why is there terminal code everywhere? Where do I even put this?

This guide fixes that. You'll learn exactly how to use GitHub to find, download, and run AI tools—no coding experience required.

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What is GitHub? (30-Second Version)

GitHub is where developers share code. Think of it like a recipe website for programmers. Instead of recipes, people post AI tools, scripts, and projects.

When someone says "the code is on GitHub," they mean:

1. The project lives at github.com/username/project-name
2. You can download it (clone it)
3. You can run it on your computer

That's it. GitHub is just a storage place + a download system.

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Part 1: What You Need Before You Start

Install Git (Your GitHub Downloader)

Git is the tool that downloads code from GitHub. It's separate from GitHub itself.

Windows:

1. Go to https://git-scm.com/download/win
2. Click "Click here to download" (the .exe file)
3. Run the installer, accept defaults, click "Finish"

Mac:

1. Open Terminal (Spotlight → search "Terminal")
2. Paste this: brew install git
3. Press Enter
4. Wait 2 minutes

Linux:

1. sudo apt update
2. sudo apt install git

Test it works: Open Terminal/Command Prompt and type:

git --version

You should see: git version 2.x.x (exact number doesn't matter).

Install Python (Required by Most AI Tools)

See our guide: How to Install Python for AI: Windows & Mac Beginners Guide

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Part 2: Finding AI Tools on GitHub

Let's find a real AI tool and run it. We'll use Ollama (local AI chat tool) as our example.

Step 1: Go to GitHub and Search

1. Visit https://github.com
2. In the search box at the top, type: ollama
3. Click "Search"
4. You'll see results. Look for the official repository (usually the one with the most stars ⭐)

How to spot the real one:

• Official projects have 1,000+ stars
• The description matches what you're looking for
• It's often from the company that made the tool (e.g., "ollama/ollama")

For Ollama, you'll see: ollama/ollama with 50K+ stars. Click it.

Step 2: Understand the GitHub Page

The project page shows:

• README section — Instructions for running it
• Code button (green) — Download instructions
• Issues/Discussions — Problems other users had (often has solutions)

Read the README first. It usually tells you:

1. What the tool does
2. How to install it
3. How to run it

Example from Ollama README:

# Ollama

Run large language models locally.

## Installation

[Link to installer]

## Running

ollama run llama2

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Part 3: Clone (Download) a Project from GitHub

"Clone" = Download the entire project folder to your computer.

Method 1: Using the Green "Code" Button (Easiest)

1. On the GitHub project page, click the green "Code" button
2. Click "Download ZIP"
3. Open your Downloads folder
4. Extract the ZIP file (right-click → "Extract All")
5. Done! You now have the project on your computer

Folder location after extracting:

• Windows: C:\Users\YourName\Downloads\ollama-main
• Mac: /Users/YourName/Downloads/ollama-main

Method 2: Using Terminal (More Reliable for Updates)

If you installed Git, you can use the terminal command:

git clone https://github.com/ollama/ollama.git
cd ollama

What this does:

• Line 1: Downloads the entire project
• Line 2: Opens the project folder in Terminal

Where it downloads to: Your home directory by default

• Windows: C:\Users\YourName\ollama
• Mac: /Users/YourName/ollama

If you want it in a specific folder:

cd ~/AI_Projects
git clone https://github.com/ollama/ollama.git
cd ollama

This puts the project in an AI_Projects folder on your computer.

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Part 4: Run the Project

Once you've cloned/extracted the project, here's the typical workflow:

Step 1: Open Terminal/Command Prompt in the Project Folder

Windows:

1. Find the project folder (e.g., ollama-main)
2. Hold Shift + right-click inside the folder
3. Click "Open PowerShell window here"

Mac:

1. Open Terminal
2. Type: cd (with a space)
3. Drag the project folder into the Terminal window
4. Press Enter

Linux:

cd ~/ollama-main

Step 2: Follow the README Instructions

The README will tell you the exact next steps. Usually one of these:

Option A: Run a pre-built installer

./install.sh  # Mac/Linux
# or
.\install.exe  # Windows (if it exists)

Option B: Install dependencies first

pip install -r requirements.txt

This reads the requirements.txt file and downloads all necessary libraries.

Option C: Run the tool directly

python main.py

Step 3: Wait and Follow Prompts

The tool will:

1. Download files (may take 5–30 minutes depending on the tool)
2. Install dependencies
3. Start running

If you see an error:

1. Copy the error message
2. Paste it into the project's GitHub Issues section
3. Someone has probably had the same problem and posted the fix

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Real Example: Running Ollama (Step-by-Step)

Let's walk through a complete example.

1. Clone Ollama

git clone https://github.com/ollama/ollama.git
cd ollama

2. Check the README

Open README.md in the Ollama folder. It says:

## Installation

Ollama is available as a standalone application.

[Download link]

## Running

ollama run llama2

In this case, Ollama recommends downloading a pre-built installer instead of cloning. So you would:

1. Click the download link
2. Install it like a normal application
3. Run ollama run llama2 in Terminal

3. Run It

ollama run llama2

This downloads the Llama 2 AI model and starts chatting with it. First run takes 5–10 minutes (downloading the model).

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Troubleshooting: Common Problems & Fixes

"Command not found: git"

Fix: Git isn't installed. See Part 1 above (Install Git section).

"ModuleNotFoundError: No module named X"

Fix: Dependencies aren't installed. Run:

pip install -r requirements.txt

"Permission denied"

Fix (Mac/Linux): Make the file executable:

chmod +x main.py

"The file path does not exist"

Fix: You're not in the right folder. Check your current location:

pwd  # Shows your current folder
ls   # Shows files in this folder

Navigate to the project folder:

cd ~/Downloads/ollama-main

Cloning Takes Forever

Normal: Large projects can take 5–15 minutes to clone. Wait it out.

If it freezes:

1. Press Ctrl+C to stop
2. Try downloading the ZIP instead (Method 1 above)

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What Else Can You Do with GitHub?

Update a project you already cloned:

cd ~/ollama  # Go to your project
git pull     # Download latest updates

Star a project (like = GitHub like): Click the ⭐ star icon. This helps you find it later.

Report a bug: Click "Issues" → "New issue" → describe the problem.

Find alternatives: Click "Forks" or search for similar projects. GitHub shows you similar repositories.

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Key Takeaways

• GitHub = storage place for code projects
• Git = tool that downloads projects from GitHub
• Clone = download the entire project to your computer
• README = instructions for installing and running
• Terminal/PowerShell = where you run the project

Most AI tools follow this same pattern:

1. Clone from GitHub
2. Install dependencies (pip install -r requirements.txt)
3. Run (python main.py or the command in README)
4. Enjoy

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FAQ

Q: Is GitHub only for developers? A: No! Anyone can clone and run projects. You don't need to understand the code—just follow the README.

Q: What's the difference between "clone" and "download ZIP"? A: Clone is better if you plan to update the project later. ZIP is simpler if you just want a one-time download.

Q: How big are these projects? A: Usually 50–500 MB. Depends on what files are included.

Q: Do I need to pay for GitHub? A: No! It's completely free for downloading public projects.

Q: What if I want to customize a project? A: You can edit the files in your local copy. GitHub has an edit button on the site if you want to suggest changes (called a "pull request").

Q: My antivirus is blocking the clone. Is it safe? A: GitHub is safe. Your antivirus is over-protecting. Disable it temporarily or add GitHub to your whitelist.

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Next Steps

Now that you know how to clone and run AI tools:

1. Find tools to run: GitHub has thousands of AI projects. Search for "Ollama," "LM Studio," "Gemma," etc.
2. Learn Terminal basics: See our guide Terminal for Absolute Beginners
3. Check your VRAM: Make sure your computer can run the models. See How to Check Your VRAM for AI
4. Start with small models: Before running Llama 70B, test with Gemma 2B (faster, lower resource requirements)

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Ready to get started? Find an AI tool on GitHub, clone it, and run it. You've got this.