GPT4All

GPT4All runs large language models privately on everyday desktops and laptops. There are no API calls to make and no GPU to rent: you download the application, pick a model and start a conversation on hardware you already own.

The stack builds on llama.cpp, which Nomic contributes to, and adds Nomic Vulkan for local inference on NVIDIA and AMD cards. A Python client wraps the same engine, so a script can load a GGUF model and open a chat session in a handful of lines.

The project covers more than the desktop chat window.

• Chat client: redesigned in version 3.0, with access to a wider range of model architectures.
• LocalDocs: chat with your own documents locally and privately.
• Python package: a pip install away, downloading and loading models on first use.
• GPU inference: quantized inference on NVIDIA and AMD hardware through Vulkan.
• API server: a Docker-based server exposing local models over an OpenAI-compatible endpoint.
• Integrations: LangChain, the Weaviate vector database and OpenLIT monitoring.

Installers exist for Windows, Windows on ARM, macOS and Ubuntu, with a community-maintained Flathub build. Windows and Linux builds want an Intel Core i3 second generation or AMD Bulldozer processor or better, the Linux build is x86-64 only, and macOS needs Monterey 12.6 or newer, with Apple Silicon giving the best results.