  Large Language Models (LLMs) represent a revolution in AI. However, they also
pose many significant risks, such as the presence of biased, private,
copyrighted or harmful text. For this reason we need open, transparent and safe
solutions. We introduce a complete open-source ecosystem for developing and
testing LLMs. The goal of this project is to boost open alternatives to
closed-source approaches. We release h2oGPT, a family of fine-tuned LLMs of
diverse sizes. We also introduce H2O LLM Studio, a framework and no-code GUI
designed for efficient fine-tuning, evaluation, and deployment of LLMs using
the most recent state-of-the-art techniques. Our code and models are fully
open-source. We believe this work helps to boost AI development and make it
more accessible, efficient and trustworthy. The demo is available at:
https://gpt.h2o.ai/
