Ollama is a free tool that lets you download and run AI models like Llama, Mistral, and Gemma directly on your own computer, completely offline. To use it, install Ollama, open a terminal, and type a single command — for example ‘ollama run llama3’ — and it downloads the model and starts a private AI chat right on your machine. It works on Windows, Mac, and Linux, costs nothing, and keeps every conversation on your device.
If you have heard people talk about ‘running AI locally’ and want the tool most of them actually use, it is Ollama. It has become the standard way to run open AI models on a personal computer because it is genuinely simple: no accounts, no cloud, no subscription, and one short command to get started. This guide walks a complete beginner from nothing to a working private AI in about ten minutes.
What Ollama actually does
Think of Ollama as a manager for AI models on your computer. It handles the tricky parts — downloading the right files, fitting the model to your hardware, and running it efficiently — so you never have to. You tell it which model you want, and it takes care of the rest. Once a model is downloaded, you can chat with it any time, even with your internet switched off entirely.
The models themselves are open versions of the kind of AI that powers chatbots: families like Meta’s Llama, Mistral, Google’s Gemma, and Alibaba’s Qwen. They are free to download and run, and while they aren’t quite as powerful as the very latest paid cloud models, they are more than capable for everyday writing, summarising, answering questions, and coding help.
Installing Ollama
Installation is refreshingly ordinary. Ollama provides a normal installer for each platform, and there is nothing unusual to configure.
- Go to the official Ollama website and download the version for your system (Windows, Mac, or Linux).
- Run the installer and follow the prompts, just like any other program.
- Once installed, Ollama runs quietly in the background, ready to receive commands.
- Open your terminal — Command Prompt or PowerShell on Windows, Terminal on Mac — to start using it.
Using Ollama means typing a couple of short commands, but you do not need to be a programmer. If you can type a sentence, you can run Ollama. Every command you need is in this guide.
Running your first model
This is the moment it clicks. To download and chat with a model, you type one command. For a great all-round first model, use Llama 3: type ‘ollama run llama3’ and press enter. Ollama downloads the model (a few gigabytes, so give it a minute on the first run) and then drops you straight into a chat prompt. Type a question, press enter, and the AI answers — all on your own machine.
To leave the chat, type ‘/bye’. The next time you run the same command, it starts instantly because the model is already downloaded. You can install as many models as your disk allows and switch between them freely.
Try ‘ollama run llama3’ for general use, ‘ollama run mistral’ for a fast lightweight option, or ‘ollama run gemma2’ for Google’s efficient model. Type ‘ollama list’ to see everything you have downloaded.
Choosing the right model for your PC
Models come in different sizes, measured in billions of parameters. Bigger models are smarter but need more memory. The trick is matching the model to your hardware so it runs smoothly rather than crawling.
| Your PC | Recommended model | Command |
|---|---|---|
| 8GB RAM | A 3B model like Gemma 2B | ollama run gemma2:2b |
| 16GB RAM | A 7–8B model like Llama 3 | ollama run llama3 |
| 32GB+ RAM / strong GPU | A 13B+ model | ollama run llama3:70b |
If a model feels slow, it is almost always too large for your memory — step down to a smaller one and responses speed up immediately. There is no shame in running a 7B model; for most daily tasks the difference is barely noticeable, and the speed is worth it.
Making Ollama nicer to use
The terminal works, but you don’t have to stay there. Because Ollama runs quietly in the background, lots of free apps can connect to it and give you a proper chat window that looks like ChatGPT. Tools like Open WebUI and various desktop chat apps hook into Ollama automatically, so you get a clean interface, saved conversations, and easy model switching without touching a command line again after setup.
Developers can also plug Ollama into code editors, note-taking apps, and browser extensions, since it exposes a standard local connection that many tools already support. For a beginner, though, a simple chat-window app on top of Ollama is the sweet spot: the power of local AI with none of the terminal.
Each model is several gigabytes. It is easy to run a dozen ‘ollama run’ commands out of curiosity and fill your drive. Use ‘ollama list’ to see what you have and ‘ollama rm modelname’ to delete ones you no longer use.
What you can do with local Ollama models
Once running, your local AI handles the same everyday jobs people use cloud chatbots for: drafting and proofreading text, summarising long documents, answering general-knowledge questions, brainstorming ideas, explaining concepts, and helping with code. Because it is offline and private, it is ideal for sensitive material — work documents, personal notes, anything you would hesitate to paste into a public service.
The limits are worth knowing too. Local models don’t have live internet knowledge, so they can’t tell you today’s news or look things up online, and very complex reasoning still favours the big cloud models. Most people settle into using Ollama for private, everyday tasks and keeping a cloud chatbot for the occasional heavy job — the best of both worlds, at almost no cost.
FAQ
Is Ollama really free?
Yes, completely. Ollama itself and the open models it runs are free to download and use. The only ‘cost’ is the disk space models take up and the electricity to run your computer.
Do I need a powerful graphics card?
It helps but isn’t required. A dedicated GPU makes responses much faster, but Ollama will happily run smaller models on your regular processor and RAM. Stick to 7B or smaller models if you have no GPU.
Can I use Ollama without the terminal?
Yes. After the initial setup, free apps like Open WebUI give you a full graphical chat interface that connects to Ollama, so you never need to type commands again.
Is my data private with Ollama?
Entirely. Everything runs on your computer. You can disconnect from the internet and Ollama keeps working, and nothing you type is ever sent anywhere.
Ollama vs the alternatives
Ollama is the most popular way to run local AI, but it is not the only one, and knowing the alternatives helps you confirm it is the right pick. LM Studio is the main rival and is friendlier for absolute beginners because it is a full graphical app with a built-in model browser — no terminal at all. The trade-off is that Ollama is lighter, faster to script, and connects to more third-party tools, which is why developers and tinkerers tend to prefer it.
There are also heavier, more technical options aimed at researchers, but for a normal person who just wants a private AI on their laptop, the real choice is Ollama versus LM Studio. A good approach is to try both: install LM Studio if you want the gentlest possible start with a point-and-click interface, and use Ollama if you like the idea of a quick command plus the ability to plug your AI into other apps later. They can even coexist on the same computer, sharing the same downloaded models in many cases, so you are never locked into one.
Keeping Ollama and your models up to date
AI models improve quickly, and Ollama makes staying current easy. To update the Ollama app itself, just download and run the latest installer over your existing version; your downloaded models are preserved. To get a newer version of a model, run its pull command again and Ollama fetches any updates. It is worth checking every few weeks, because newer model releases often bring noticeably better answers at the same size.
A sensible routine is to keep one or two models you trust for daily use and occasionally try a newly released one to see if it is an upgrade. Because everything is free, experimenting costs nothing but disk space and a few minutes of download time. Delete the ones that don’t earn their place with ‘ollama rm’, and you will always have a lean, current set of models ready to run offline whenever you need them.
The Bottom Line
Ollama has made private, offline AI genuinely beginner-friendly. Install it, type ‘ollama run llama3’, and you have a capable AI assistant running entirely on your own machine for free. Start with a 7B model to match most laptops, add a free chat-window app if you would rather skip the terminal, and keep an eye on your disk space as you explore. It is the simplest on-ramp to running AI locally — and once you have it, you may find yourself reaching for it before the cloud.