Explore Local Private GPT LLMs Today

Local Private GPT LLMs offer a revolutionary approach to document query and summarization. h2oGPT, an Apache V2 open-source project, enables users to interact with GPT-like models locally, ensuring privacy and control. The project supports various backends like llama_cpp_python and is compatible with systems such as CUDA on Linux and Metal M1/M2. It requires a Python 3.10 environment and involves several steps for setup, including the installation of necessary packages and the selection of model options based on GPU memory availability. Users can access the interface via a local server and can choose from models like LLaMa-2-7B-Chat-GGUF or LLaMa-2-13B-Chat-GGUF depending on their system’s capabilities. Additionally, the project provides options for low-memory mode and CPU mode, catering to different hardware configurations. The h2oGPT platform is part of H2O.ai’s suite of Machine Learning and AI platforms, which also includes tools for deployment, monitoring, data wrangling, and governance. The disclaimer section emphasizes the importance of adhering to the terms and conditions when using the provided large language model. Overall, h2oGPT is a robust tool for those looking to leverage the power of GPT models within a private, local environment.