Run your Own Private Chat GPT, Free and Uncensored, with Ollama + Open WebUI

The video begins with an introduction to creating a Chat GPT-like interface locally on one's machine at no cost. The speaker, from Vincent Codes Finance, explains that the video will demonstrate the use of Ollama and Open WebUI to establish a personal Chat GPT replacement. The speaker's MacBook Pro M3 with 64 GB of RAM is noted as an example of a suitable machine for running the interface, though less powerful configurations can also work. The importance of RAM and GPU for the performance of the language model is emphasized. The process of installing Ollama, a program for managing open-source large language models, is outlined, including the availability of different models like Llama 2 and Mistral, and the concept of variants based on optimization and size. The video also touches on quantization and its trade-offs in model variants. Additionally, the video mentions the availability of uncensored models for research purposes and provides a brief overview of Ollama's command-line interface and functionalities.

This paragraph delves into the installation process of Ollama, including downloading from the official website or using Homebrew on Mac. It explains how to explore available models on Ollama, such as Llama 2 and Mistral, and their different versions optimized for chatting or text. The concept of model variants based on the number of parameters and quantization is further discussed, highlighting the memory and precision trade-offs. The video demonstrates how to interact with Ollama through the terminal, including starting the service, listing installed models, and installing new ones like Llama 2 and Mixtral. The practicality of chatting with the model directly through the terminal is shown, although it's noted that a more user-friendly interface is desired for regular use.

The video proceeds to explain the next step in creating a Chat GPT replacement: installing Open WebUI as a frontend to interact with the large language models provided by Ollama. It highlights the need for Docker, a container software, to run Open WebUI, which is a web server. The video provides an overview of Docker's functionality and safety, as well as instructions for installing Docker on Mac. Following the setup of Docker, the video demonstrates the installation of Open WebUI using Docker and accessing it through the default port 3000. The process of signing up for an account for the first time is also covered, ensuring that the account is local and does not share information externally.

The final paragraph focuses on the capabilities of Open WebUI, including its ability to interact with multiple models simultaneously, a feature not available in Chat GPT. It showcases how users can start a chat, select different models like Llama 2 and Mixtral, and compare their responses. The video also touches on the use of modelfiles, which are akin to Chat GPT's GPTs, and the ability to create and discover prompts for specific purposes. Additionally, it explains the functionality of prompts and documents in Open WebUI, noting that documents are accessed in a retrieval augmented generation fashion, allowing the model to summarize related snippets but not the entire document. The video concludes with an invitation to explore more settings and features, such as theme customization, advanced parameters, and image generation options.

The video concludes with a recap of the process and features covered, highlighting the ability to run a full-featured Chat GPT replacement locally with the capability to add multiple models and compare their outputs. The speaker encourages viewers to like the video and subscribe to the channel for updates on future content, aiming to build a community of viewers interested in coding for finance and research.