Models

GPT4All is optimized to run LLMs in the 3-13B parameter range on consumer-grade hardware.

LLMs are downloaded to your device so you can run them locally and privately. With our backend anyone can interact with LLMs efficiently and securely on their own hardware.

Download Models

1.	Click `Models` in the menu on the left (below `Chats` and above `LocalDocs`)
2.	Click `+ Add Model` to navigate to the `Explore Models` page
3.	Search for models available online
4.	Hit `Download` to save a model to your device
5.	Once the model is downloaded you will see it in `Models`.

Explore Models

GPT4All connects you with LLMs from HuggingFace with a llama.cpp backend so that they will run efficiently on your hardware. Many of these models can be identified by the file type .gguf.

Example Models

Many LLMs are available at various sizes, quantizations, and licenses.

LLMs with more parameters tend to be better at coherently responding to instructions
LLMs with a smaller quantization (e.g. 4bit instead of 16bit) are much faster and less memory intensive, and tend to have slightly worse performance
Licenses vary in their terms for personal and commercial use

Here are a few examples:

Model	Filesize	RAM Required	Parameters	Quantization	Developer	License	MD5 Sum (Unique Hash)
Llama 3 Instruct	4.66 GB	8 GB	8 Billion	q4_0	Meta	Llama 3 License	c87ad09e1e4c8f9c35a5fcef52b6f1c9
Nous Hermes 2 Mistral DPO	4.11 GB	8 GB	7 Billion	q4_0	Mistral & Nous Research	Apache 2.0	Coa5f6b4eabd3992da4d7fb7f020f921eb
Phi-3 Mini Instruct	2.18 GB	4 GB	4 billion	q4_0	Microsoft	MIT	f8347badde9bfc2efbe89124d78ddaf5
Mini Orca (Small)	1.98 GB	4 GB	3 billion	q4_0	Microsoft	CC-BY-NC-SA-4.0	0e769317b90ac30d6e09486d61fefa26
GPT4All Snoozy	7.37 GB	16 GB	13 billion	q4_0	Nomic AI	GPL	40388eb2f8d16bb5d08c96fdfaac6b2c

Search Results

You can click the gear icon in the search bar to sort search results by their # of likes, # of downloads, or date of upload (all from HuggingFace).

Connect Model APIs

You can add your API key for remote model providers.

Note: this does not download a model file to your computer to use securely. Instead, this way of interacting with models has your prompts leave your computer to the API provider and returns the response to your computer.