Do I need to know how to use a terminal?

For the basic path, you need one command (`ollama run `). Everything after that happens inside the chat. The harder parts only show up when you want to connect other apps to it.

Does Ollama send my prompts anywhere?

Inference happens on your machine. The model files themselves are downloaded from Ollama's registry when you pull them, so the download is network activity — but your conversations do not leave the computer.

Is it as good as ChatGPT?

No, and that is the honest answer. A model small enough to run on a laptop is not the same class as the largest hosted models. What you get instead is privacy, no per-message cost, and the ability to run it offline.

Can I use it from other programs?

Yes. Ollama exposes a local HTTP API on port 11434, and a long list of desktop apps, editors and browser extensions can point at it instead of a cloud provider.

Ollama, in plain words: what you can do with an AI model that runs on your own laptop

AIHowPublished Sep 19, 20264 min read

The short answer

Ollama is a free program that lets you download and run AI language models on your own computer instead of in somebody else's data centre. You install it, pull a model with one command, and then chat with it in a terminal or through other apps that talk to it. It is worth installing if you want to work with text you would rather not upload, or if you want to experiment without paying per message. It is not worth it if you need the strongest available model or you just want a chatbot that works everywhere with no setup.

Local API port Ollama listens on

11434

Ollama's documented default — other apps connect to http://localhost:11434

Disk space a typical 7B model needs

~4 GB

Size shown in Ollama's model library for a 4-bit quantised 7B model; larger models need more

Memory you want before pulling a 7B model

8 GB+

Community rule of thumb — the model has to fit in memory alongside everything else you run

A non-developer walkthrough of Ollama — what it actually does, what you need before installing it, and the three situations where it is genuinely the right tool.

#ollama

#local-ai

#open-source

#privacy

What problem it actually solves

Most people meet AI through a website. You type into a box, the text goes to a company's server, a model answers, and the answer comes back. That is convenient, and for a lot of tasks it is the right answer.

Ollama flips the last part of that sentence around. Instead of sending the text away, you run the model on the machine in front of you. The model is a file — several gigabytes of numbers — that you download once and keep. After that, every question you ask is answered by your own CPU or GPU.

Two things follow from that, and they are the whole reason Ollama exists: your text does not leave the computer, and nobody can bill you per message.

What you can do with it, concretely

The headline use is chat. You run one command and you are talking to a model in your terminal. That sounds unglamorous, and on its own it is — the reason people install Ollama is usually one of these:

Drafting on sensitive material. Contracts, medical notes, unreleased writing, anything with a client's name in it. If the text is the thing you care about keeping private, local inference removes the question entirely.
Repetitive text jobs. Summarising a folder of meeting notes, rewriting product descriptions in one consistent voice, turning rough bullets into paragraphs. Local models are weaker writers than the best hosted ones, but they are perfectly adequate at mechanical rewriting, and they cost nothing to run a thousand times.
Experimenting. Trying five different open models to see which one handles your kind of text best is free here and awkward everywhere else.

The quiet superpower is the third one. Ollama does not just run a chat — it exposes a local API on port 11434, which means any app that can talk to an AI can be pointed at your machine instead of a cloud provider. That is how people end up with a local AI inside their editor, their note app, or a browser extension, all sharing one installation.

What you need before you start

Be honest about three numbers before you install anything.

Disk. A typical 7B-parameter model, quantised to 4-bit, is around 4 GB. Larger models are larger. If you plan to try several, budget tens of gigabytes.

Memory. The model has to sit in memory while it runs, next to your browser. Eight gigabytes is a workable floor for a 7B model; sixteen makes it comfortable. On a 4 GB machine, local AI is not a pleasant experience regardless of which tool you pick.

Patience with the terminal. Installing is one command. Pulling a model is one command. Talking to it is one command. That is the whole surface area for the basic path. If that sentence already sounds like too much, this tool is not aimed at you, and that is a reasonable conclusion rather than a failure.

Where it falls short

The gap that matters most is quality. A model that fits on a laptop is a smaller model, and it shows: it forgets more of a long conversation, it is more confidently wrong, and it handles complex multi-step instructions worse. If you are comparing it to the largest hosted model on a hard task, it will lose.

The second gap is maintenance. You are now the operator. Model updates, Ollama updates, disk cleanup — nobody does those for you.

The third is hardware reality. On a machine without a decent GPU, generation is slow enough to be annoying. "Runs locally" and "runs quickly" are different claims, and only the first one is guaranteed.

Should you install it?

Install it if you have a specific reason: text you do not want to upload, or a repetitive job you would like to run for free. Both of those are real, and Ollama is the least painful way to get them.

Do not install it because local AI sounds like the right way to do things. If a hosted chatbot gives you better answers for a task you do once a week, using it is the correct decision, and no amount of architectural purity changes that.

The useful middle path is to install it, pull one small model, and use it for one real task for a week. If you forget it is there, you have your answer.

The open-source project, in plain words

VerdictInstall it if you have a specific reason to keep text local, or you like tinkering and want free experimentation. Skip it if you just want the best answers with zero setup — a hosted chatbot still wins that comparison.

Ollama

Downloads AI language models onto your computer and runs them there, so you can chat with an AI without sending your text to a company's server.

Licence: MIT
Setup effort: Some setup
Cost: Free and open source (MIT). You pay in disk space and memory, not money.
Good for: People who work with text they would rather not upload (drafts, client material, personal notes), people who want to try models for free, and tinkerers who like owning their tooling.
Not for: Anyone who needs the strongest model available, anyone on an old laptop with 4 GB of memory, and anyone who wants something that works the moment they open a browser.

Pros

+ Your text stays on your own machine
+ No per-message cost and it works offline once a model is downloaded
+ One command to install, one command to pull a model
+ A local API that many other apps can plug into

Cons

− Models small enough to run locally are noticeably weaker than the biggest hosted ones
− First download is several gigabytes, and it needs real memory to run
− The terminal is the primary interface unless you connect it to another app
− You are responsible for keeping it updated yourself

FAQ

Do I need to know how to use a terminal?: For the basic path, you need one command (`ollama run <model>`). Everything after that happens inside the chat. The harder parts only show up when you want to connect other apps to it.
Does Ollama send my prompts anywhere?: Inference happens on your machine. The model files themselves are downloaded from Ollama's registry when you pull them, so the download is network activity — but your conversations do not leave the computer.
Is it as good as ChatGPT?: No, and that is the honest answer. A model small enough to run on a laptop is not the same class as the largest hosted models. What you get instead is privacy, no per-message cost, and the ability to run it offline.
Can I use it from other programs?: Yes. Ollama exposes a local HTTP API on port 11434, and a long list of desktop apps, editors and browser extensions can point at it instead of a cloud provider.