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GPT4All: A Large Language Model Client with CPU Runtime Support, Emphasizing Localization and Data Security

GPT4All General Introduction

GPT-4All is an open source project developed by Nomic to allow users to run Large Language Models (LLMs) on local devices. The project emphasizes privacy protection and does not require an Internet connection for use, and is intended for both personal and business users.GPT-4All supports a wide range of hardware, including Mac M-series chips, AMD and NVIDIA GPUs, and can be easily run by users on desktop and laptop computers. The project also offers a rich open source model and community support, allowing users to customize the chatbot experience to their needs.

 

GPT4All is an ecosystem for running powerful and customizable large-scale language models that run natively on consumer CPUs and any GPU. Please note that your CPU needs to support AVX or AVX2 instructions.


The GPT4All model is a 3GB - 8GB file that you can download and insert into the GPT4All open source ecosystem software.Nomic AI supports and maintains this software ecosystem to ensure quality and security and is spearheading the effort to make it easy for any individual or enterprise to train and deploy their own edge large-scale language models.

It does not require a GPU or an Internet connection and is capable of real-time inference latency on the M1 Mac.

 

GPT4All: A Locally-Run Private Intelligent Language Model-1

 

GPT4All: A Locally-Run Private Intelligent Language Model-1

 

GPT4All: A Locally-Run Private Intelligent Language Model-2

 

distinctiveness

Your chat is private and never leaves your device!
GPT4All has privacy and security as its first priority. Use LLM to handle your sensitive local data that never leaves your device.

Running Language Models on Consumer Grade Hardware
GPT4All allows you to run LLM on both CPUs and GPUs, with full support for Mac M-series chips, AMD and NVIDIA GPUs.

Chat with local files
Use LocalDocs to grant your local LLM access to your private and sensitive information. It works without the internet and no data leaves your device.

Explore more than 1000 open source language models
GPT4All supports LLaMa, Mistral, Nous-Hermes and hundreds of other popular models.

 

Function List

  • local operation: Run LLMs on a local device without an Internet connection.
  • Privacy: All data is stored locally to ensure user privacy.
  • Multi-Hardware Support: Compatible with Mac M-series chips, AMD and NVIDIA GPUs.
  • open source community: Rich open source modeling and community support.
  • Customized Functions: Users can customize the chatbot's system prompts, temperature, context length, and other parameters.
  • Enterprise Edition: Provides enterprise-level support and functionality for large-scale deployments.

 

Using Help

Installation process

  1. Download the application::
    • interviews Nomic Official Website Download the installer for Windows, macOS or Ubuntu.
    • Windows and Linux users should ensure that the device is equipped with an Intel Core i3 2nd Gen / AMD Bulldozer or higher processor.
    • macOS users need to be running Monterey 12.6 or later, which works best on Apple Silicon M-series processors.
  2. Installation of the application::
    • Windows users: Run the downloaded installation package and follow the prompts to complete the installation.
    • macOS users: Drag the downloaded application to the Applications folder.
    • Ubuntu users: Install the downloaded package file using the command line.
  3. Launching the application::
    • Once installation is complete, open the GPT-4All application and follow the prompts for initial setup.

Guidelines for use

  1. Running a local model::
    • After opening the application, select the desired language model to download and load.
    • Multiple models are supported, including LLaMa, Mistral, Nous-Hermes, and more.
  2. Customized Chatbots::
    • Adjust system prompts, temperature, context length and other parameters in the settings to optimize the chat experience.
    • Use the LocalDocs feature to allow local LLMs to access your private data without an Internet connection.
  3. Enterprise Edition Features::
    • Enterprise users can contact Nomic for an Enterprise Edition license to enjoy additional support and features.
    • The Enterprise Edition is suitable for large-scale deployments and provides enhanced security and support.
  4. Community Support::
    • Join the GPT-4All community to participate in discussions and contribute code.
    • interviews GitHub repository Get the latest updates and documentation.

common problems

  • How do you ensure data privacy? GPT-4All All data is stored locally on the device, ensuring that user privacy is not violated.
  • Is an Internet connection required? No. The GPT-4All can be run completely offline on a local device.
  • What hardware is supported? Supports Mac M-series chips, AMD and NVIDIA GPUs, and common desktop and laptop computers.

 

GPT4All Model Benchmarking

 

Model BoolQ PIQA HellaSwag WinoGrande ARC-e ARC-c OBQA Avg
GPT4All-J 6B v1.0 73.4 74.8 63.4 64.7 54.9 36 40.2 58.2
GPT4All-J v1.1-breezy 74 75.1 63.2 63.6 55.4 34.9 38.4 57.8
GPT4All-J v1.2-jazzy 74.8 74.9 63.6 63.8 56.6 35.3 41 58.6
GPT4All-J v1.3-groovy 73.6 74.3 63.8 63.5 57.7 35 38.8 58.1
GPT4All-J Lora 6B 68.6 75.8 66.2 63.5 56.4 35.7 40.2 58.1
GPT4All LLaMa Lora 7B 73.1 77.6 72.1 67.8 51.1 40.4 40.2 60.3
GPT4All 13B snoozy 83.3 79.2 75 71.3 60.9 44.2 43.4 65.3
GPT4All Falcon 77.6 79.8 74.9 70.1 67.9 43.4 42.6 65.2
Nous-Hermes 79.5 78.9 80 71.9 74.2 50.9 46.4 68.8
Nous-Hermes2 83.9 80.7 80.1 71.3 75.7 52.1 46.2 70.0
Nous-Puffin 81.5 80.7 80.4 72.5 77.6 50.7 45.6 69.9
Dolly 6B 68.8 77.3 67.6 63.9 62.9 38.7 41.2 60.1
Dolly 12B 56.7 75.4 71 62.2 64.6 38.5 40.4 58.4
Alpaca 7B 73.9 77.2 73.9 66.1 59.8 43.3 43.4 62.5
Alpaca Lora 7B 74.3 79.3 74 68.8 56.6 43.9 42.6 62.8
GPT-J 6.7B 65.4 76.2 66.2 64.1 62.2 36.6 38.2 58.4
LLama 7B 73.1 77.4 73 66.9 52.5 41.4 42.4 61.0
LLama 13B 68.5 79.1 76.2 70.1 60 44.6 42.2 63.0
Pythia 6.7B 63.5 76.3 64 61.1 61.3 35.2 37.2 56.9
Pythia 12B 67.7 76.6 67.3 63.8 63.9 34.8 38 58.9
Fastchat T5 81.5 64.6 46.3 61.8 49.3 33.3 39.4 53.7
Fastchat Vicuña 7B 76.6 77.2 70.7 67.3 53.5 41.2 40.8 61.0
Fastchat Vicuña 13B 81.5 76.8 73.3 66.7 57.4 42.7 43.6 63.1
StableVicuña RLHF 82.3 78.6 74.1 70.9 61 43.5 44.4 65.0
StableLM Tuned 62.5 71.2 53.6 54.8 52.4 31.1 33.4 51.3
StableLM Base 60.1 67.4 41.2 50.1 44.9 27 32 46.1
Koala 13B 76.5 77.9 72.6 68.8 54.3 41 42.8 62.0
Open Assistant Pythia 12B 67.9 78 68.1 65 64.2 40.4 43.2 61.0
Mosaic MPT7B 74.8 79.3 76.3 68.6 70 42.2 42.6 64.8
Mosaic mpt-instruct 74.3 80.4 77.2 67.8 72.2 44.6 43 65.6
Mosaic mpt-chat 77.1 78.2 74.5 67.5 69.4 43.3 44.2 64.9
Wizard 7B 78.4 77.2 69.9 66.5 56.8 40.5 42.6 61.7
Wizard 7B Uncensored 77.7 74.2 68 65.2 53.5 38.7 41.6 59.8
Wizard 13B Uncensored 78.4 75.5 72.1 69.5 57.5 40.4 44 62.5
GPT4-x-Vicuna-13b 81.3 75 75.2 65 58.7 43.9 43.6 63.2
Falcon 7b 73.6 80.7 76.3 67.3 71 43.3 44.4 65.2
Falcon 7b instruct 70.9 78.6 69.8 66.7 67.9 42.7 41.2 62.5
text-davinci-003 88.1 83.8 83.4 75.8 83.9 63.9 51 75.7
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