100% Offline ChatGPT Alternative?

The chatbot demonstrated in the video is running locally on the creator’s machine without an internet connection. It is powered by the H2O GPT open-source Python library, which allows users to train and run large language models. The code used to train the model, the training data, and the model weights are all freely available for download and can be used for commercial applications.

To set up the chatbot locally, the creator recommends cloning the H2O GPT GitHub repository and following the installation instructions provided in the repository’s README file. The installation process involves creating a new environment, installing the necessary packages using pip, and ensuring that CUDA is installed for GPU support.

Once the chatbot is installed, it can be tested using the command-line interface or the graphical interface provided. The graphical interface closely resembles the online version and can be accessed through a local URL. The chatbot can be asked questions, and it will generate responses based on the trained model.

The video also highlights the advantages of open-source models, such as privacy, customization, and transparency. Open-source models allow users to have control over their data, fine-tune models for specific tasks, and understand the training data and process.

Overall, the article provides a demonstration of running a chatbot locally using the H2O GPT library and emphasizes the benefits of open-source models for language processing tasks.