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Windows · Download, Screen Capture & AI Tools

Ollama for Windows

Command-line-first tool for downloading and running open-weight large language models locally, with a simple model library and local API.

Updated August 9, 2026 · Reviewed by SoftNexi Editorial Team, Software research and documentation

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Overview

Ollama runs open-weight large language models locally via a small command-line tool: `ollama run <model>` downloads a model from Ollama's library the first time and then starts a local chat session, all from a terminal. It's aimed more at developers and technically comfortable users than LM Studio's graphical-first approach, though a Windows installer and a growing set of third-party graphical front ends exist around it.

It packages models with sensible default configurations (a 'Modelfile' system) so that running a given model name generally 'just works' without the user manually choosing quantization settings, though those defaults can be customized for more control.

As with any local inference tool, hardware matters: models with more parameters need more system memory and benefit greatly from a GPU with adequate VRAM; Ollama can fall back to CPU-only inference, which is slower but still functional for smaller models. Always check what a specific model needs before pulling a large one.

Ollama exposes a local REST API by default, which many third-party tools and scripts can already speak to, since it has become something of a de facto standard for local LLM tooling. The privacy benefit mirrors LM Studio's: prompts and outputs stay on your machine rather than reaching a cloud provider, once a model is downloaded. Ollama itself is free and open source.

Key features

  • Simple command-line interface: pull and run a model with one command
  • Model library with default configurations that work out of the box
  • Local REST API compatible with a large ecosystem of third-party tools and front ends
  • GPU acceleration where supported hardware and drivers are present, with CPU-only fallback
  • Custom Modelfiles for adjusting a model's system prompt or parameters
  • No account or internet connection required to run a model once it's downloaded

System requirements

Operating system
Windows 11 and Windows 10 (64-bit)
GPU
A dedicated GPU with enough VRAM to hold your chosen model significantly improves speed; CPU-only inference is supported but slower
Disk space
Varies widely by model — check a model's listed size in the Ollama library before pulling it

How to install Ollama

  1. 1. Download the installer

    Get the Windows installer from ollama.com/download.

  2. 2. Run the installer

    Setup completes without bundled offers and adds the ollama command-line tool.

  3. 3. Pull and run a model

    Open a terminal and run a command like ollama run llama3 to download and start chatting with a model sized to your hardware.

  4. 4. Try a graphical front end (optional)

    Several third-party GUIs can connect to Ollama's local API if you prefer a chat window over the command line.

How to use it

  1. 1. Match model size to your hardware

    Start with a smaller model if you're unsure whether your GPU has enough VRAM, then try a larger one if performance is good.

  2. 2. Use the local API in your own tools

    Point a script or third-party app at Ollama's local REST API instead of a cloud AI provider to keep processing on-device.

  3. 3. Customize a Modelfile

    Create a custom Modelfile to set a persistent system prompt or adjust parameters for a specific use case.

  4. 4. Keep sensitive prompts local

    Use a locally run model instead of a cloud AI service when working with confidential documents or proprietary code you don't want leaving your device.

Safety and privacy

  • Download only from ollama.com/download; the tool is open source and its code is reviewable.
  • Models pulled from Ollama's library are third-party model weights — as with any local model, only run models from sources you trust.
  • We link only to the developer's own site and have not independently audited the current build.
Bundled software
The official installer does not bundle third-party offers.
Privacy
Once a model is downloaded, inference runs entirely on your device; prompts and generated output are not sent to a cloud service unless you specifically connect Ollama to one.

Known risks

  • Pulling large models onto hardware with insufficient VRAM or system memory results in slow performance or failures to load — check a model's requirements first.
  • Exposing Ollama's local API to your network without access controls could let other devices on that network use your model — keep it bound to localhost unless you intend otherwise.

What's new

    Pros and cons

    Pros

    • Prompts and data stay on your device, not sent to a cloud provider
    • Simple one-command model download and run workflow
    • Local API has become a de facto standard many third-party tools already support
    • Free and open source

    Cons

    • Command-line first, which is less approachable than a full graphical app for non-developers
    • Performance is heavily dependent on your GPU's VRAM and system memory
    • Model quality and behavior vary by which open-weight model you pull, not by Ollama itself
    • Windows support and tooling maturity have historically lagged slightly behind macOS/Linux for this project

    Verdict

    Ollama is the go-to local LLM runner for developers who are comfortable with a terminal and want a model quickly available behind a stable local API. Users who want a full graphical experience without touching the command line may prefer LM Studio, though a growing number of GUIs can sit on top of Ollama too.

    Frequently asked questions

    Is Ollama free?

    Yes, Ollama is free and open source.

    Do I need a powerful GPU to use Ollama?

    A GPU with sufficient VRAM makes inference much faster, but Ollama also supports CPU-only inference, which works but is slower, especially for larger models.

    Is Ollama a graphical app or command line?

    Ollama is primarily a command-line tool, though it exposes a local API that several third-party graphical front ends can connect to.

    Is my data private with Ollama?

    Once a model is downloaded, prompts and generated text stay on your device and are not sent to a cloud service unless you specifically configure that.