How to Run AI on Your Own Computer (Free and Private)

September 28, 2026 · Kova Core

In short: "open-weight" AI models can be downloaded and run on your own computer. The easiest ways are LM Studio, a point-and-click app, and Ollama, a small tool you can use from the command line or its own chat window. A computer with 16 GB of memory can run useful small models; a graphics card with more memory runs bigger, smarter ones.

Why run AI on your own computer?

• Privacy: your chats never leave your machine — ideal for personal documents and work notes.
• Free: no subscription and no usage limits.
• Offline: works on a plane or without Wi-Fi.
• Control: you choose the model, and it won't change or disappear overnight.

The trade-off: models small enough for a normal PC are generally less capable than the biggest cloud assistants like ChatGPT, Claude or Gemini. For everyday writing, summarising, brainstorming and simple coding, they are often more than good enough.

What are "open-weight" models?

A model's weights are the billions of numbers it learned during training. Some companies publish them for anyone to download — for example Meta's Llama, Alibaba's Qwen, Google's Gemma, Mistral, DeepSeek and OpenAI's gpt-oss.

Model size is measured in parameters: an "8B" model has about 8 billion. Bigger usually means smarter — and hungrier for memory.

What hardware do you need?

Local models are usually quantised (compressed) to about 4 bits per parameter. A handy rule of thumb is about 0.6 GB of memory per billion parameters, plus some headroom.

Apple Silicon Macs are excellent for local AI because the graphics chip shares the Mac's main memory. Models also run on an ordinary CPU — just more slowly.

Option 1: LM Studio (easiest — no commands)

1. Download LM Studio from lmstudio.ai (Windows, Mac and Linux) and install it.
2. Open the model search and look for a well-known family such as Qwen or Gemma. LM Studio indicates which versions are likely to fit your memory.
3. Download a recommended version — usually a few gigabytes.
4. Open the chat, load the model, and start typing.

LM Studio can also run a local server, so other apps on your computer can use the model.

Option 2: Ollama (simple and lightweight)

1. Download Ollama from ollama.com and install it.
2. Open PowerShell (Windows) or Terminal (Mac/Linux), type ollama run gemma3 and press Enter.
3. The first time, Ollama downloads the model. Then you can chat right there. Type /bye to exit.

Other handy commands: ollama list shows your downloaded models, ollama pull followed by a model name downloads one without chatting, and ollama rm followed by a model name deletes one. Browse available models in the library on ollama.com. Recent versions also include a simple chat window, so you don't have to use the terminal at all.

Which model should you start with?

New models come out every few months, so check what's current — but these families are good starting points:

• Gemma and Qwen: strong all-rounders available in many sizes.
• Llama: widely supported by almost every app.
• "Coder" models (such as Qwen Coder) for programming help.
• Reasoning ("thinking") models: they think step by step before answering — better at maths and logic, but slower.

Start with a 4B–8B model. If answers are fast but not smart enough, try the next size up.

Tips for better results

• Give it the text. Small models know less trivia, so paste the document you want summarised instead of asking them to remember facts.
• Long documents use more memory. If things get slow, split the text into parts.
• Close heavy apps like games or dozens of browser tabs to free memory.
• Double-check facts — smaller models make things up more often than big cloud ones.

The prompting tips in our beginner's guide to ChatGPT, Claude and Gemini work just as well with local models. Want to generate images locally too? See ComfyUI for Beginners.