Step-by-Step Setup for Downloading and Installing Ollama
Download and Install Ollama:
Visit Ollama's download page.
Download the installer suitable for your operating system (MacOS, Linux, Windows).
Follow the installation instructions specific to your operating system.
Load the 8B Parameter Llama 3.1 Model:
Go to the Llama 3.1 library page on Ollama.
Copy the command for loading the 8B Llama 3.1 model: ollama run llama3.1:8b.
Open a terminal (MacOS, Linux) or Command Prompt/PowerShell (Windows).
Paste the copied command and press <enter>.
This command will start running Llama 3.1. You can then issue chat queries to the model to test its functionality.
Manage Installed Models:
List Models: Use ollama list to see all models installed on your system.
Remove Models: To remove a model, use ollama rm <model_name>. For example, to remove the 8B parameter Llama 3.1, use ollama rm llama3.1:8b.
Add New Models: Browse the Ollama library and use the appropriate ollama run <model_name> command to load a new model into your system.
Adding a WebUI
Install Docker Desktop:
Visit Docker's Get Started page and download Docker Desktop for your operating system (MacOS, Linux, Windows).
Follow the installation instructions specific to your operating system and start Docker after installation.
Install Open WebUI:
Open a terminal (MacOS, Linux) or Command Prompt/PowerShell (Windows).
Run the following command to install Open WebUI: sh Copy code docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
Access the Open WebUI:
Open Docker Desktop and go to the dashboard.
Find the Open WebUI container and click on the link under "Port" to open the WebUI in your browser.
Create and Log In to Your Open WebUI Account:
If you don't already have an Open WebUI account, create one.
Log in to your account through the WebUI.
Integration with IDEs and APIs
Using Continue for IDE Integration:
Ensure that Ollama is running and accessible.
Follow the instructions on the Ollama Continue blog to install Continue in your preferred IDE.
With Continue and the Ollama API, you can leverage AI-powered features like code suggestions, completions, and debugging assistance directly within your development environment.
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