Welcome to our user-friendly guide on setting up and mastering Ollama GUI, a powerful web interface for conversing with your local Large Language Models (LLMs). Whether you’re a seasoned developer or a curious newbie, you’ll find all the essential information right here!

Installation

First, ensure you have the necessary tools installed on your machine:

• Download and install ollama CLI.
• Download and install yarn and node.

Getting Started

Now, let’s jump into getting Ollama GUI up and running:

• Clone the repository by running:

git clone https://github.com/HelgeSverre/ollama-gui.git

• Move into the project directory:

cd ollama-gui

• Install the necessary packages:

yarn install

• Start the development server:

yarn dev

• Alternatively, you can run the hosted web version by executing:

OLLAMA_ORIGINS=https://ollama-gui.vercel.app ollama serve

Running with Docker

If you prefer using Docker, follow these steps:

1. Ensure you have Docker (or OrbStack) installed.
2. Clone the repository:

git clone https://github.com/HelgeSverre/ollama-gui.git

3. Navigate into the directory:

cd ollama-gui

4. Build the Docker image:

docker build -t ollama-gui .

5. Run the Docker container:

docker run -p 8080:8080 ollama-gui

6. Access the application via your web browser at http://localhost:8080, ensuring that the Ollama CLI is operational on your host machine.

Choosing Models

Ollama GUI supports a range of interesting models for experimentation. Below are some examples:

ollama pull mixtral

ollama pull phi

ollama pull solar

Troubleshooting

If you encounter any issues while installation or running the models, here are some helpful tips:

• Ensure all dependencies are correctly installed and updated to their latest versions.
• Check your internet connection as all model downloads are reliant on it.
• If using Docker, ensure that the Docker daemon is running and the container is correctly routed.
• For persistent problems, visit the ollama documentation for deeper insights.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

Ollama GUI opens up a world of possibilities for interacting with your local LLMs. Whether through Docker or a simple installation, the process is straightforward, enabling you to dive into AI development seamlessly.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.