Key Takeaways
- Local models run on your hardware, so your data never leaves the device.
- Tools like Ollama make setup genuinely beginner-friendly.
- Local models trade some capability for privacy and zero usage cost.
- You need a reasonably modern machine, ideally with a capable GPU.
What “local” actually means
A local model runs entirely on your own computer instead of a companys servers. You download the model file once, and every prompt after that is processed on your machine. Nothing you type is sent anywhere. For anyone handling sensitive notes, client data or private ideas, that is the whole appeal.
It is easier than it sounds
A few years ago this needed real technical skill. Now tools like Ollama and LM Studio have made it close to one-click: install the app, pick a model, start chatting in a familiar interface. If you can install any other program, you can run a local model.
The honest trade-offs
Local models that fit on a normal computer are smaller and less capable than the giant hosted ones. They are excellent for summarising, drafting, rewriting and answering everyday questions, but they will not match the very best cloud models on hard reasoning or niche knowledge. In exchange you get total privacy and no per-message cost.
What hardware you need
A modern laptop can run small models slowly; a machine with a decent GPU and plenty of memory runs mid-sized ones comfortably. Start with a small model, see how it performs, and only reach for larger ones if your hardware allows.
The bottom line
Running AI locally is now realistic for beginners and worth it if privacy or cost matters to you. Accept that you trade some raw capability for control, start small, and you will have a private assistant that answers only to you.