# h2oGPT: Democratizing Large Language Models

**Authors:** Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Prithvi Prabhu, Jeff Gambera, Mark Landry, Shivam Bansal, Ryan Chesler, Chun Ming Lee, Marcos V. Conde, Pasha Stetsenko, Olivier Grellier, SriSatish Ambati  
**arXiv:** [2306.08161](https://arxiv.org/abs/2306.08161)  
**Date:** 2023-06-13  
**Summary page:** https://www.summarizepaper.com/en/paper/2306.08161v1/

## Key points

- The h2oGPT project aims to democratize Large Language Models (LLMs) and provide an open-source alternative to closed-source models like GPT-4.
- LLMs have revolutionized AI with their real-world applications in natural language processing.
- h2oGPT is a suite of open-source code repositories that allow for the creation and use of LLMs based on Generative Pretrained Transformers (GPTs).
- The project's goal is to develop the world's best truly open-source alternative to closed-source GPTs.
- Several fine-tuned h2oGPT models ranging from 7 to 40 billion parameters have been released under fully permissive Apache 2.0 licenses, ready for commercial use.
- One notable feature included in the h2oGPT release is a 100% private document search using natural language, enhancing accessibility and trustworthiness in AI development.
- Open-source language models play a crucial role in boosting AI development by lowering entry barriers and enabling customization for unique requirements.
- H2O.ai recognizes the need for an open-source strategy to ensure fair sharing of AI benefits and remains committed to democratizing AI and LLMs through continued efforts in developing open-source solutions.
- The h2oGPT project promotes inclusivity, collaboration, and responsible AI development practices.

## Summary

The h2oGPT project, developed by H2O.ai, aims to democratize Large Language Models (LLMs) and provide an open-source alternative to closed-source models like GPT-4. LLMs have revolutionized AI with their real-world applications in natural language processing. However, they also come with significant risks such as biased or harmful text and the inclusion of copyrighted material without authorization. h2oGPT is a suite of open-source code repositories that allow for the creation and use of LLMs based on Generative Pretrained Transformers (GPTs). The project's goal is to develop the world's best truly open-source alternative to closed-source GPTs. In collaboration with the open-source community, H2O.ai has released several fine-tuned h2oGPT models ranging from 7 to 40 billion parameters under fully permissive Apache 2.0 licenses. These models are ready for commercial use. One notable feature included in the h2oGPT release is a 100% private document search using natural language. This capability enhances accessibility and trustworthiness in AI development by allowing users to tailor language models according to their specific needs. Open-source language models play a crucial role in boosting AI development and making it more accessible and trustworthy by lowering entry barriers and enabling individuals and groups to customize them for their unique requirements. This openness fosters innovation, transparency, and fairness within the AI community. H2O.ai recognizes the need for an open-source strategy to ensure fair sharing of AI benefits and remains committed to democratizing AI and LLMs through continued efforts in developing open-source solutions. The h2oGPT project represents a step towards achieving this vision by providing a powerful alternative that promotes inclusivity, collaboration, and responsible AI development practices.