Welcome to the ChatGPT4All installation and usage guide! This repository provides you with instructions on how to install and use ChatGPT4All, a powerful AI language model developed by OpenAI.
Open-source assistant-style large language models that run locally on your CPU
Run on an M1 macOS Device (not sped up!)
GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. Note that your CPU needs to support AVX or AVX2 instructions.
Learn more in the documentation.
The goal is simple - be the best instruction tuned assistant-style language model that any person or enterprise can freely use, distribute and build on.
A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All open-source ecosystem software. Nomic AI supports and maintains this software ecosystem to enforce quality and security alongside spearheading the effort to allow any person or enterprise to easily train and deploy their own on-edge large language models.
Run any GPT4All model natively on your home desktop with the auto-updating desktop chat client. See GPT4All Website for a full list of open-source models you can run with this powerful desktop application.
Find the most up-to-date information on the GPT4All Website
Usage Basic Usage ChatGPT4All can be used for simple text generation with just a few lines of code. Here's a basic example:
from chatgpt4all import ChatGPT4All
chatgpt = ChatGPT4All()
response = chatgpt.generate_response("Tell me a joke")
print(response)
For more advanced use cases, you can customize the model's behavior and generate longer conversations. Check the official OpenAI documentation for in-depth information.
In the examples directory, you will find additional code samples demonstrating various use cases of ChatGPT4All. Feel free to explore and adapt these examples to your needs.
Experiment with different conversation structures to get the best results. Be mindful of the model's response length to ensure it stays within OpenAI's limits. Respect ethical guidelines and avoid using the model for harmful purposes.