# Ollama: Local AI Model Server

Ollama is a tool that allows you to run large language models (LLMs) locally on your own server or computer. It simplifies the process of downloading, setting up, and interacting with powerful open-source AI models, providing AI capabilities without relying on third-party cloud services and ensuring data privacy.

## Key Features

*   **Run LLMs Locally**: Host and run various open-source large language models (like Llama, Gemma, Mistral, etc.) on your own hardware.
*   **Simple CLI**: Easy-to-use command-line interface for downloading models (`ollama pull`), running them (`ollama run`), and managing them (`ollama list`).
*   **API Server**: Ollama serves models through a local API, allowing other applications (like OpenWebUI) to interact with them.
*   **Data Privacy**: Since models run locally, your data doesn't leave your server when you interact with them.
*   **Growing Model Library**: Access a growing library of popular open-source models.
*   **Customization**: Create custom model files (Modelfiles) to tailor model behavior.

## Documentation

For more detailed information about Ollama, visit the [official repository](https://github.com/ollama/ollama).

## Getting Started with Ollama (within Changemaker)

Ollama itself is primarily a command-line tool and an API server. You typically interact with it via a terminal or through a UI like OpenWebUI.

### Managing Ollama via Terminal (e.g., in Code Server)

1.  **Access a Terminal**: 
    *   Open the integrated terminal in Code Server.
    *   Alternatively, SSH directly into your Changemaker server.

2.  **Common Ollama Commands**:
    *   **List Downloaded Models**: See which models you currently have.
        ```bash
        docker exec -it ollama-changemaker ollama list
        ```
        *(The `docker exec -it ollama-changemaker` part is necessary if Ollama is running in a Docker container named `ollama-changemaker`, which is common. If Ollama is installed directly on the host, you'd just run `ollama list`.)*

    *   **Pull (Download) a New Model**: Download a model from the Ollama library. Replace `gemma:2b` with the desired model name and tag.
        ```bash
        docker exec -it ollama-changemaker ollama pull gemma:2b 
        ```
        (Example: `ollama pull llama3`, `ollama pull mistral`)

    *   **Run a Model (Interactive Chat in Terminal)**: Chat directly with a model in the terminal.
        ```bash
        docker exec -it ollama-changemaker ollama run gemma:2b
        ```
        (Press `Ctrl+D` or type `/bye` to exit the chat.)

    *   **Remove a Model**: Delete a downloaded model to free up space.
        ```bash
        docker exec -it ollama-changemaker ollama rm gemma:2b
        ```

### Interacting with Ollama via OpenWebUI

For a more user-friendly chat experience, use OpenWebUI, which connects to your Ollama service. See the `apps/openwebui.md` documentation for details.

## Use Cases within Changemaker

*   **Powering OpenWebUI**: Ollama is the backend engine that OpenWebUI uses to provide its chat interface.
*   **AI-Assisted Content Creation**: Generate text, summaries, ideas, or code snippets with privacy.
*   **Custom AI Applications**: Developers can build custom applications that leverage the Ollama API for various AI tasks.
*   **Offline AI Capabilities**: Use AI models even without an active internet connection (once models are downloaded).

## Editing the Site

Ollama is an AI model server. It is not used for editing this documentation site. Site editing is done via **Code Server**.

## Further Information

*   **Ollama Official Website**: [https://ollama.ai/](https://ollama.ai/)
*   **Ollama Documentation**: [https://ollama.ai/docs](https://ollama.ai/docs)
*   **Ollama GitHub**: [https://github.com/ollama/ollama](https://github.com/ollama/ollama)
*   The existing `ollama.md` at the root of the `docs` folder in your project might also contain specific setup notes for your Changemaker instance.