mirror of
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106 lines
6.1 KiB
Markdown
106 lines
6.1 KiB
Markdown
# gpt4all-chat
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Cross platform Qt based GUI for GPT4All versions with GPT-J as the base
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model. NOTE: The model seen in the screenshot is actually a preview of a
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new training run for GPT4All based on GPT-J. The GPT4All project is busy
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at work getting ready to release this model including installers for all
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three major OS's. In the meantime, you can try this UI out with the original
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GPT-J model by following build instructions below.
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## Features
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* Cross-platform (Linux, Windows, MacOSX)
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* Fast CPU based inference using ggml for GPT-J based models
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* The UI is made to look and feel like you've come to expect from a chatty gpt
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* Check for updates so you can alway stay fresh with latest models
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* Easy to install with precompiled binaries available for all three major desktop platforms
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* Multi-modal - Ability to load more than one model and switch between them
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* Supports both llama.cpp and gptj.cpp style models
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* Model downloader in GUI featuring many popular open source models
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* Settings dialog to change temp, top_p, top_k, threads, etc
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* Copy your conversation to clipboard
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* Check for updates to get the very latest GUI
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## Feature wishlist
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* Multi-chat - a list of current and past chats and the ability to save/delete/export and switch between
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* Text to speech - have the AI response with voice
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* Speech to text - give the prompt with your voice
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* Python bindings
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* Typescript bindings
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* Plugin support for langchain other developer tools
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* Save your prompt/responses to disk
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* Upload prompt/respones manually/automatically to nomic.ai to aid future training runs
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* Syntax highlighting support for programming languages, etc.
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* REST API with a built-in webserver in the chat gui itself with a headless operation mode as well
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* Advanced settings for changing temperature, topk, etc. (DONE)
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* YOUR IDEA HERE
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## Getting the latest
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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.
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## Building and running
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* Install Qt 6.x for your platform https://doc.qt.io/qt-6/get-and-install-qt.html
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* Install cmake for your platform https://cmake.org/install/
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* Download https://huggingface.co/EleutherAI/gpt-j-6b
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* Clone this repo and build
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```
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git clone https://github.com/ggerganov/ggml.git
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cd ggml
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mkdir build
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cd build
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cmake ..
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cmake --build . --parallel
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python3 ../ggml/examples/gpt-j/convert-h5-to-ggml.py /path/to/your/local/copy/of/EleutherAI/gpt-j-6B 0
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./bin/gpt-j-quantize /path/to/your/local/copy/of/EleutherAI/gpt-j-6B/ggml-model-f32.bin ./ggml-model-q4_0.bin 2
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```
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and then
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```
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git clone --recurse-submodules https://github.com/nomic-ai/gpt4all-chat
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cd gpt4all-chat
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mkdir build
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cd build
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cmake ..
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cmake --build . --parallel
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mv /path/to/ggml-model-q4_0.bin bin
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./bin/chat
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```
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## To get Qt installed for your system
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* Highly advise using the official Qt online open source installer.
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* You can obtain this by creating an account on qt.io and downloading the installer.
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* You should get latest Qt {Qt 6.5.x} for your system and the developer tools including QtCreator, cmake, ninja.
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* WINDOWS NOTE: you need to use the mingw64 toolchain and not msvc
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* ALL PLATFORMS NOTE: the installer has options for lots of different targets which will add a lot
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of download overhead. You can deselect webassembly target, android, sources, etc to save space on your disk.
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## Manual download of models
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* https://gpt4all.io/models/ggml-gpt4all-j-v1.3-groovy.bin (default) (md5sum 81a09a0ddf89690372fc296ff7f625af) Current best commercially licensable model based on GPT-J and trained by Nomic AI on the latest curated GPT4All dataset.
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* https://gpt4all.io/models/ggml-gpt4all-l13b-snoozy.bin (md5sum 91f886b68fbce697e9a3cd501951e455) Current best non-commercially licensable model based on Llama 13b and trained by Nomic AI on the latest curated GPT4All dataset.
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* https://gpt4all.io/models/ggml-gpt4all-j-v1.2-jazzy.bin (md5sum 879344aaa9d62fdccbda0be7a09e7976) An commercially licensable model based on GPT-J and trained by Nomic AI on the v2 GPT4All dataset.
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* https://gpt4all.io/models/ggml-gpt4all-j-v1.1-breezy.bin (md5sum 61d48a82cb188cceb14ebb8082bfec37) An commercially licensable model based on GPT-J and trained by Nomic AI on the v1 GPT4All dataset.
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* https://gpt4all.io/models/ggml-gpt4all-j.bin (md5sum 5b5a3f9b858d33b29b52b89692415595) An commercially licensable model based on GPT-J and trained by Nomic AI on the v0 GPT4All dataset.
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* https://gpt4all.io/models/ggml-vicuna-7b-1.1-q4_2.bin (md5sum 29119f8fa11712704c6b22ac5ab792ea) An non-commercially licensable model based on Llama 7b and trained by teams from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego.
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* https://gpt4all.io/models/ggml-vicuna-13b-1.1-q4_2.bin (md5sum 95999b7b0699e2070af63bf5d34101a8) An non-commercially licensable model based on Llama 13b and trained by teams from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego.
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* https://gpt4all.io/models/ggml-wizardLM-7B.q4_2.bin (md5sum 99e6d129745a3f1fb1121abed747b05a) An non-commercially licensable model based on Llama 7b and trained by Microsoft and Peking University.
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* https://gpt4all.io/models/ggml-stable-vicuna-13B.q4_2.bin (md5sum 6cb4ee297537c9133bddab9692879de0) An non-commercially licensable model based on Llama 13b and RLHF trained by Stable AI.
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## Terminal Only Interface with no Qt dependency
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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.
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## Contributing
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* Pull requests welcome. See the feature wish list for ideas :)
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## License
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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.
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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.
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