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gpt4all/gpt4all-chat
ThiloteE f2b4809b72
models3: remove system prompt of Nous-Hermes-2-Mistral-7b-DPO (#2054)
Signed-off-by: ThiloteE <73715071+ThiloteE@users.noreply.github.com>
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
7 months ago
..
cmake
flatpak-manifest
hnswlib
icons
metadata models3: remove system prompt of Nous-Hermes-2-Mistral-7b-DPO (#2054) 7 months ago
qml qml: update models.json URL in error message 7 months ago
CMakeLists.txt Bump version and release notes for v2.7.1 7 months ago
LICENSE
README.md
build_and_run.md
chat.cpp
chat.h
chatgpt.cpp fix chat-style prompt templates (#1970) 7 months ago
chatgpt.h fix chat-style prompt templates (#1970) 7 months ago
chatlistmodel.cpp
chatlistmodel.h
chatllm.cpp add min_p sampling parameter (#2014) 7 months ago
chatllm.h add min_p sampling parameter (#2014) 7 months ago
chatmodel.h
database.cpp
database.h
download.cpp
download.h
embeddings.cpp
embeddings.h
embllm.cpp
embllm.h
llm.cpp
llm.h
localdocs.cpp
localdocs.h
localdocsdb.h
localdocsmodel.cpp
localdocsmodel.h
logger.cpp
logger.h
main.cpp
main.qml add min_p sampling parameter (#2014) 7 months ago
modellist.cpp modellist: fix bad copy-paste in ModelList::clone (#2011) 7 months ago
modellist.h llmodel: default to a blank line between reply and next prompt (#1996) 7 months ago
mysettings.cpp add min_p sampling parameter (#2014) 7 months ago
mysettings.h add min_p sampling parameter (#2014) 7 months ago
network.cpp
network.h
responsetext.cpp
responsetext.h
server.cpp add min_p sampling parameter (#2014) 7 months ago
server.h

README.md

gpt4all-chat

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.

image

Install

One click installers for macOS, Linux, and Windows at https://gpt4all.io

Features

  • Cross-platform (Linux, Windows, MacOSX)
  • Fast CPU based inference using ggml for GPT-J based models
  • The UI is made to look and feel like you've come to expect from a chatty gpt
  • Check for updates so you can always stay fresh with latest models
  • Easy to install with precompiled binaries available for all three major desktop platforms
  • Multi-modal - Ability to load more than one model and switch between them
  • Supports both llama.cpp and gptj.cpp style models
  • Model downloader in GUI featuring many popular open source models
  • Settings dialog to change temp, top_p, top_k, threads, etc
  • Copy your conversation to clipboard
  • Check for updates to get the very latest GUI

Feature wishlist

  • Multi-chat - a list of current and past chats and the ability to save/delete/export and switch between
  • Text to speech - have the AI response with voice
  • Speech to text - give the prompt with your voice
  • Plugin support for langchain other developer tools
  • chat gui headless operation mode
  • Advanced settings for changing temperature, topk, etc. (DONE)
    • Improve the accessibility of the installer for screen reader users
  • YOUR IDEA HERE

Building and running

Getting the latest

If you've already checked out the source code and/or built the program make sure when you do a git fetch to get the latest changes and that you also do git submodule update --init --recursive to update the submodules.

Manual download of models

Terminal Only Interface with no Qt dependency

Check out https://github.com/kuvaus/LlamaGPTJ-chat which is using the llmodel backend so it is compliant with our ecosystem and all models downloaded above should work with it.

Contributing

  • Pull requests welcome. See the feature wish list for ideas :)

License

The source code of this chat interface is currently under a MIT license. The underlying GPT4All-j model is released under non-restrictive open-source Apache 2 License.

The GPT4All-J license allows for users to use generated outputs as they see fit. Users take responsibility for ensuring their content meets applicable requirements for publication in a given context or region.