How To Install Any LLM Locally! Open WebUI (Model Runner) - Easiest Way Possible!

Introduction to the new Docker Model Runner for local model deployment, highlighting its advantages over Olama and the outdated platform. Docker Model Runner provides easy deployment and interaction with AI models through a web UI, offering full control, zero hassle, and seamless workflows.

Details the benefits of using Docker Model Runner, including 100% local, fully private, open AAI API compatibility, ease of use, and integration into existing pipelines. Emphasizes the platform's scalability, composition, and how it simplifies working with large language models.

Explains the system requirements for Docker Model Runner, compatibility with Windows, Mac OS, and Linux, and the installation process. No cost involved with installation, and instructions on enabling host side TCP and GPU backend inference for optimal performance.

Demonstrates how to install and manage models using Docker Model Runner, including pulling models from Docker Hub or installing locally. Highlights the OCI based format for models, providing control over model weights, and easy management of different models.

Guidance on running models and utilizing the open web UI project for model interaction. Demonstrates running a model, asking questions through the UI, and the simplicity of installing and running models with a few clicks.

Instructions on customizing and using models with the open web UI project, setting configurations, and accessing models through the web UI. Demonstrates creating an account for using the web UI with Docker Model Runner.

Wrap-up of the Docker Model Runner tutorial, recommending viewers to try the platform and supporting the channel through super thanks option. Encourages viewers to explore the monthly AI credits and updates, inviting them to subscribe and engage with the content.