October 29th, 2023
Step-by-step Guide for Installing and Running GPT4All
How to chat with your local documents
GPT4All is Open-source large language models that run locally on your CPU and nearly any GPU:
How GPT4All Works
GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs.
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.
Installation
Step1 Download Prebuilt Binary
Optional: If you are interested in how it's made, clone the repo:
sh
git clone https://github.com/nomic-ai/gpt4all.git
The GPT4ALL chat app is located in gpt4all-chat: a cross platform Qt based GUI for GPT4All versions with GPT-J as the base model. NOTE: The model seen in the screenshot is actually a preview of a new training run for GPT4All based on GPT-J. The GPT4All project is busy at work getting ready to release this model including installers for all three major OS's. In the meantime, you can try this UI out with the original GPT-J model by following build instructions below.
The build and run instructions is available Official GPT4All Chat Build Instruction
Install on your PC
On MacBook, double click on the downloaded dmg file: Follow the on screen instruction to complete the install process.
Running
The app does not include any LLAMA models with it. You can select and install the models you want. You can also select using OpenAI's models if you have OpenAI API key which you will need to pay per use.
The following is a screen that shows once you have everything setup and you start chat with it:
Limitation
The models provided through GPT4ALL are scaled down models compared to OpenAI's GPT-4. What this means is that the model size and training parameters are much less and smaller. This would impact the accuracy of the text generated by it.
On the other hand, the models has limited capabilities in number of tokens it can handle, which can be considered size of local text it can handle. If the local document is too long, it may have problem fully vectorize it and in the end won't generate satisfied results.
Why the limitation?
As we all know, GPT6 model is so huge in terms of size and computation power needed, one just simply cannot run the model locally on someone's laptop. GPT4ALL scaled down the model by quantization and other methed so it's possible to run LLAMA models on people's local laptop.
However, we do believe this situation will improve with the efferts of all the researchers and engineers. One day we will have a GPT model that can truly handle the knowledge contained in the documents of people's daily work and life.
Official Web Site
Getting more info including download link from the GPT4All creater's website:(https://gpt4all.io/index.html)
Other articles
August 18th, 2023
s and Nodes. This Method … read more...
October 12th, 2023
nd optimization strategies for best results. read more...