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105 lines
4.4 KiB
Markdown
105 lines
4.4 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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## 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 .
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./chat
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```
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## Building and running CLI tools only (no Qt required)
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* Install cmake for your platform https://cmake.org/install/
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* Clone this repo and build the `ggml` subfolder
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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/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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wget https://gpt4all.io/models/ggml-gpt4all-j-v1.2-jazzy.bin # Download GGML model if you don't already have it.
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./bin/gpt-j -m ggml-gpt4all-j.bin -n 200 --top_k 40 --top_p 0.9 -b 9 --temp 0.9 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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Tell me about artifical intelligence
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### Response:"
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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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## 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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