How to run AI models locally as a beginner?

A straightforward guide to running AI models locally on your computer, regardless of your background.

How to run AI models locally as a beginner?

Most people think running AI models locally is complicated. It’s not. Anyone can run powerful AI models like DeepSeek, Llama, and Mistral on their own computer. This guide will show you how, even if you’ve never written a line of code.

Quick steps:

1. Download Jan

Jan AI's official website showing the download options Download Jan from jan.ai - it’s free and open source.

2. Choose a model that fits your hardware

Jan's model selection interface showing various AI models Jan helps you pick the right AI model for your computer.

3. Start using AI locally

That’s all to run your first AI model locally!

Jan's simple and clean chat interface for local AI Jan’s easy-to-use chat interface after installation.

Keep reading to learn key terms of local AI and the things you should know before running AI models locally.

How Local AI Works

Before diving into the details, let’s understand how AI runs on your computer:

llama.cpp GitHub repository showing its popularity and wide adoption llama.cpp helps millions of people run AI locally on their computers.

Understanding AI Models

Think of AI models like apps on your computer - some are light and quick to use, while others are bigger but can do more things. When you’re choosing an AI model to run on your computer, you’ll see names like “Llama-3-8B” or “Mistral-7B”. Let’s break down what this means in simple terms.

Jan Hub interface showing model sizes and types Jan Hub makes it easy to understand different model sizes and versions

Good news: Jan helps you pick the right model size for your computer automatically! You don’t need to worry about the technical details - just choose a model that matches what Jan recommends for your computer.

What You Can Do with Local AI

Hardware Requirements

Before downloading an AI model, consider checking if your computer can run it. Here’s a basic guide:

The basics your computer needs:

  • A decent processor (CPU) - most computers from the last 5 years will work fine
  • At least 8GB of RAM - 16GB or more is better
  • Some free storage space - at least 5GB recommended

What Models Can Your Computer Run?

Regular Laptop3B-7B modelsGood for chatting and writing. Like having a helpful assistant
Gaming Laptop7B-13B modelsMore capable. Better at complex tasks like coding and analysis
Powerful Desktop13B+ modelsBetter performance. Great for professional work and advanced tasks

Getting Started with Models

Model Versions

When browsing models in Jan, you’ll see terms like “Q4”, “Q6”, or “Q8”. Here’s what that means in simple terms:

Pro tip: Start with Q4 versions - they work great for most people and run smoothly on regular computers!

Getting Models from Hugging Face

You’ll often see links to “Hugging Face” when downloading AI models. Think of Hugging Face as the “GitHub for AI” - it’s where the AI community shares their models. Jan makes it super easy to use:

  1. Jan has a built-in connection to Hugging Face
  2. You can download models right from Jan’s interface
  3. No need to visit the Hugging Face website unless you want to explore more options

Setting up your local AI

Getting Models from Hugging Face

You’ll often see links to “Hugging Face” when downloading AI models. Think of Hugging Face as the “GitHub for AI” - it’s where the AI community shares their models. This sounds technical, but Jan makes it super easy to use:

  1. Jan has a built-in connection to Hugging Face
  2. You can download models right from Jan’s interface
  3. No need to visit the Hugging Face website unless you want to explore more options

1. Get Started

Download Jan from jan.ai - it sets everything up for you.

2. Get an AI Model

You can get models two ways:

  • Click “Download Model” in Jan
  • Pick a recommended model
  • Choose one that fits your computer

AI model parameters explained Use Jan Hub to download AI models

2. Use Hugging Face:

Find and copy a GGUF model link from Hugging Face

Finding a GGUF model on Hugging Face Look for models with “GGUF” in their name

Step 2: Open Jan

Launch Jan and go to the Models tab

Opening Jan's model section Navigate to the Models section in Jan

Step 3: Add the model

Paste your Hugging Face link into Jan

Adding a model from Hugging Face Paste your GGUF model link here

Step 4: Download

Select your quantization and start the download

Downloading the model Choose your preferred model size and download

Common Questions

“My computer doesn’t have a graphics card - can I still use AI?”

Yes! It will run slower but still work. Start with 7B models.

“Which model should I start with?”

Try a 7B model first - it’s the best balance of smart and fast.

“Will it slow down my computer?”

Only while you’re using the AI. Close other big programs for better speed.

Need help?