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/

翻译：大型语言模型（LLMs）标志着人工智能领域的革命性突破。然而，这些模型也带来了显著风险，例如生成包含偏见、隐私侵犯、版权争议或有害内容的文本。为此，我们需要开放、透明且安全的解决方案。我们提出并构建了一个完整的开源生态系统，用于开发与测试大型语言模型，旨在推动对闭源方案的开源替代。我们发布了h2oGPT系列——涵盖不同规模的微调语言模型家族。同时推出H2O LLM Studio，这是一个集成最新前沿技术的框架与无代码图形用户界面（GUI），专为高效微调、评估与部署LLMs而设计。我们的代码与模型完全开源。我们相信，这项工作将助力人工智能发展，使其更易获取、更高效且更值得信赖。在线演示地址：https://gpt.h2o.ai/