How to Run AI Locally on Your PC or Laptop: Free Step by Step Guide (2026)

What if you could use a ChatGPT style assistant that works with no internet, never sends your chats to a company and costs nothing each month? When you run AI locally, a model sitting on your own drive gives you all three. In 2026 it is easier than ever: a free app, one download and a few clicks.

This guide shows you how to run AI locally on your own PC or laptop, step by step. You will learn what hardware you need, which free apps to use, which models to download for your amount of memory, and how to get the best speed.

Quick answer

To run AI locally:

1. Check your memory. 8GB of RAM runs small models, 16GB runs good everyday models and 32GB or more runs strong ones.
2. Pick a free app. LM Studio suits beginners who like clicking, while Ollama suits people comfortable typing one line in a terminal.
3. Download an open model that fits your memory, for example Gemma 4 or Qwen 3.5.
4. Start chatting. After the download, everything works offline.

What does it mean to run AI locally?

When you use ChatGPT, Gemini or Claude in a browser, your message travels to a big data centre, a huge model writes the answer there, and the reply comes back to you. That is cloud AI.

With a local setup, the whole brain of the chatbot is copied onto your machine instead. You download the model file once, often between 2GB and 20GB, and your own processor, graphics chip and memory do all the work. These models are called open models or open weight models, because their makers allow anyone to download and use them.

Why run AI on your own computer?

The good parts:

• Privacy. Your questions, notes and files stay on your machine. Nothing is stored on someone else’s server.
• Works offline. Use it on a train, a flight or during a network outage.
• No monthly bill. The apps and many models are free.
• No daily limits. Ask as many questions as you like.
• Control. You choose the model, the settings and how long your history is kept.

The trade offs:

• Less clever than the best cloud models. A model that fits on a laptop cannot match the largest models running on huge server farms, especially on hard reasoning.
• Slower on weak hardware. Older laptops may type out answers slowly.
• Uses storage and battery. Models are big files, and heavy use drains a laptop quickly.
• Older knowledge. A local model only knows what it learned during training, unless you give it documents.

For many daily jobs, such as summaries, emails, study notes and simple coding help, local models are now more than good enough.

What hardware do you need?

The single most important number is memory. The whole model has to fit in your RAM, or in your graphics card’s video memory (VRAM), with some room left for the conversation.

A few hardware tips:

• Macs with Apple Silicon are great for local AI, because the graphics chip shares the main memory. A Mac with 32GB can load models that would need an expensive graphics card on a Windows PC.
• Windows PCs with an Nvidia or AMD graphics card run models very fast, as long as the model fits in the card’s VRAM.
• Laptops with only a CPU still work. They are just slower, so stick to smaller models.
• The NPU in a new AI PC helps with some apps, but memory and graphics matter far more. Our guide on what an AI PC is explains why.

Planning to buy new hardware for this? See our best PC for AI guide for setups that match each budget.

The best free apps to run AI locally

LM Studio feels like a normal chat app. You search for a model inside the app, click download and start talking. It also lets you chat with your own PDFs and text files. Get it from the official LM Studio website.

Ollama is the most popular tool among developers. You type one short command and it downloads and starts the model. It also runs a local server, so other apps on your computer can use the model. It now has a simple desktop window too. Download it from the official Ollama website.

Jan is a clean, open source chat app that can run models offline and also connect to cloud models if you want. Find it at jan.ai.

Best models to start with in 2026

Here are good first picks. The names in the last column are the exact Ollama names. LM Studio shows the same models under similar names in its search box. Download sizes are approximate.

Which one should you pick first?

• On an 8GB laptop: start with Qwen 3.5 4B. It is small but surprisingly capable.
• On a 16GB laptop: try Gemma 4 E4B or Qwen 3.5 9B. Both can read images as well as text.
• On a 32GB Mac or a PC with a 24GB graphics card: go for Gemma 4 26B. It is a mixture of experts model, so only a small part of it works on each word, which keeps it fast.

Always check each model’s licence page before using it for business work. Most of these allow commercial use, but the rules differ.

How to run AI locally with LM Studio (easiest way)

This is the best route if you have never used a command window before.

1. Go to lmstudio.ai and download the installer for your system.
2. Install and open LM Studio. It checks your hardware on first launch.
3. Click the Discover or search icon on the left.
4. Type a model name, such as “Gemma 4” or “Qwen 3.5”. LM Studio marks versions that fit your memory and warns you about ones that may be too big.
5. Click Download. Wait for it to finish. Larger models take a while on slow internet.
6. Open the Chat tab, pick the model from the menu at the top and wait a few seconds while it loads.
7. Type your first message. You are now chatting with an AI that runs entirely on your computer.
8. To chat with a document, drag a PDF or text file into the chat box and ask questions about it.

How to run AI locally with Ollama

Ollama is just as easy if you are happy to type a short command.

1. Download Ollama from ollama.com and install it.
2. Open Terminal on Mac or Linux, or Command Prompt or PowerShell on Windows.
3. Type ollama run gemma4:e4b and press Enter. Ollama downloads the model the first time, then starts a chat.
4. Type your question and press Enter. Type /bye to leave the chat.
5. Curious what is already on your drive? ollama list prints every model you have pulled so far.
6. To free space, remove a model with ollama rm followed by its name, for example ollama rm gemma4:e4b.

Prefer a window to a command line? Open the Ollama app, pick a model from the list and chat there instead.

How to make local AI faster

• Choose a smaller model. A fast small model is more useful than a giant one that crawls.
• Use quantized versions. Files marked Q4 or Q5 are compressed copies that use far less memory with only a small drop in quality.
• Close heavy apps. Browsers with many tabs and games eat the memory your model needs.
• Plug in your laptop. Many laptops slow down on battery to save power.
• Turn on GPU use. In LM Studio, move the GPU offload slider up as far as your graphics memory allows.
• Keep chats short. Very long conversations and huge documents fill memory and slow things down. Start a new chat when you switch topics.

What can you do with a local AI model?

• Summarise private documents such as contracts, medical letters or company reports without uploading them anywhere.
• Study offline. Ask it to explain a topic, make flashcards or quiz you before an exam.
• Write first drafts of emails, captions and cover letters as often as you like, because nobody meters your usage.
• Get coding help inside editors such as VS Code, which can connect to Ollama.
• Analyse data privately. Paste a table and ask for trends. Our guide on how to use AI for data analysis shows prompts that work well here too.
• Translate text between common languages while travelling.

Safety tips before you start

• Stick to trusted downloads. Get the apps from their own sites and pull models through the search box inside LM Studio or Ollama, or from verified company pages on Hugging Face.
• Do not trust every answer. Local models make mistakes and sometimes invent facts. Check anything important.
• Mind your disk space. Delete models you no longer use.
• Keep the app updated to get speed fixes and support for new models.

Worried about what cloud chatbots do with your data? Running AI locally is one answer. Another is to change your settings, as shown in our guide to the AI training opt out.

Frequently asked questions

Can I run AI locally without a graphics card?

Yes. Apps like LM Studio and Ollama can run models on the CPU alone. Answers come more slowly, so choose a small model of around 4 billion parameters.

Is running AI locally really free?

Yes. LM Studio, Ollama and Jan are free, and many good models are free to download. Your only costs are electricity and disk space.

Is local AI as good as ChatGPT?

Not quite for the hardest tasks. The best cloud models are far larger. But for everyday writing, summaries and study help, a good 9B to 27B model gets close, and it keeps your data private.

How much RAM do I need to run AI locally?

8GB is the bare minimum for tiny models. 16GB is the sweet spot for most people, and 32GB or more lets you run much stronger models.

Does local AI work without internet?

Yes. You need the internet only to download the app and the model. After that, chatting works fully offline.

Is it safe to run AI models on my computer?

Yes, if you download from official sources. The model files cannot see your files unless you give them a document, and nothing leaves your computer by default.

Final word

Running AI locally has gone from a hobby for experts to something anyone can do in ten minutes. Start with LM Studio if you like buttons or Ollama if you like commands, pick a model that fits your memory, and enjoy a private assistant that works anywhere. When you need the very best reasoning, keep a cloud chatbot as a backup. For everything else, your own computer is now good enough.

Choosing a laptop for this? Our best laptop for machine learning guide explains what to look for.