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ThiloteE edited this page Jul 28, 2024 · 16 revisions

GPT4All Wiki

GPT4All - Your private local LLM environment, brought to you by NOMIC.

Welcome to the GPT4All Wiki! We're excited to bring you an open-source project that allows you to run large language models (LLMs) privately on your own computer. With GPT4All, you can chat with LLMs and integrate them into your workflow without relying on cloud services.

System Requirements & Installation

Can I Run It?

GPT4All is designed for Windows, macOS, and Linux users.

Minimum requirements:

  • CPU: GPT4All installers require your CPU has AVX/AVX2 instruction sets.
  • Resolution: You need a display resolution of at least 1280x720.
  • Memory: At least 8 GB of system RAM.
  • OS: A recent Operating System...
    • Windows 10 or later
    • macOS High Sierra (10.13) or later
    • Ubuntu 22.04 LTS or later

Recommended

Have enough RAM, because ...

  • the large language model (LLM) should fit into RAM completely. Reason being: Trying to load a model that does not fit into your RAM triggers your machine to utilize the swap space (assuming there is one) on your harddrive (SSD/HDD) and that will slow down speed of inference substantially. In short: RAM is faster than your harddrive (HDD/SSD).
  • chatting with the model adds to the context, which is mapped into RAM. The longer the conversation, the more RAM is required.
  • more RAM will allow you to run larger models with larger context.

Have a GPU with lots of VRAM, because ...

  • GPU are very fast at inferenceing LLMs and in most cases faster than a regular CPU / RAM combo.
  • We recommend at least 8GB of VRAM.

Have a supported GPU:

  • Nvidia
    • CUDA backend
      • will run any .gguf quantized models.
      • available for the LocalDocs feature
    • Vulkan Backend
      • will run .gguf quantized models of fp16, Q4_0, Q4_1.
  • AMD
    • Vulkan Backend
      • will run .gguf quantized models of fp16, Q4_0, Q4_1.

Installers

Need Help?

We're here to help!

If you have questions or need assistance with GPT4All:

Clone this wiki locally