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Chat AI: Run LLMs with your own hardware

Chat AI is an interface that sits on top of a custom engine which is responsible for processing requests and responses to and from an active Google T5-Flan model.

img.png


Bundled Installation

Official Build can be acquired here for those who want to use a compiled version of Chat AI without having to install any additional requirements


Development

Prerequisites


Docker

Current builds of AI Runner are compiled with pyinstaller on docker.

Pull Docker container from repo

Linux

docker pull ghcr.io/capsize-games/chatairunner/chatairunner:linux

Windows

docker pull ghcr.io/capsize-games/chatairunner/chatairunner:windows

Build Docker

Linux

docker-compose -f docker-compose.yml build
docker tag ghcr.io/capsize-games/chatairunner/chatairunner:linux ghcr.io/capsize-games/chatairunner/chatairunner:linux
docker push ghcr.io/capsize-games/chatairunner/chatairunner:linux

Windows

docker-compose -f docker-compose.windows.yml build
docker tag ghcr.io/capsize-games/chatairunner/chatairunner:linux ghcr.io/capsize-games/chatairunner/chatairunner:windows
docker push ghcr.io/capsize-games/chatairunner/chatairunner:windows

Run the app using Docker

docker-compose run linux python3 /app/main.py

Build latest version of AI Runner using Docker locally - this will output a build and dist folder on your machine.

docker run --rm -v $(pwd)/dist:/app/dist -v $(pwd)/build:/app/build ghcr.io/capsize-games/chatai/chatai:linux bash build.sh

docker run --rm -m 24g --cpus=12 -v $(pwd)/dist:/app/dist -v $(pwd)/build:/app/build ghcr.io/capsize-games/chatai/chatai:windows bash build.windows.sh
docker tag ghcr.io/capsize-games/chatai/chatai:linux ghcr.io/capsize-games/chatai/chatai:windows
docker push ghcr.io/capsize-games/chatai/chatai:windows
``

---

#### Pypi installation

Use this installation method if you intend to use Chat AI from the command line or with
other python libraries or scripts.

Windows

pip install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 --index-url https://download.pytorch.org/whl/cu117 pip install aihandlerwindows pip install https://github.com/w4ffl35/diffusers/archive/refs/tags/v0.14.0.ckpt_fix_0.0.1.tar.gz pip install https://github.com/w4ffl35/transformers/archive/refs/tags/tensor_fix-v1.0.2.tar.gz pip install https://github.com/acpopescu/bitsandbytes/releases/download/v0.37.2-win.0/bitsandbytes-0.37.2-py3-none-any.whl pip install chatai --no-deps


Linux

pip install https://github.com/w4ffl35/diffusers/archive/refs/tags/v0.14.0.ckpt_fix_0.0.1.tar.gz pip install https://github.com/w4ffl35/transformers/archive/refs/tags/tensor_fix-v1.0.2.tar.gz pip install chatairunner


#### Development installation

Use this installation method if you intend to modify the source code of Chat AI.

- Ubuntu 20.04+ or Windows 10+
- Python 3.10.6
- pip-23.0.1

1. Fork this repo on github
2. `git clone https://github.com/Capsize-Games/chatai`
3. `python -m venv env` - skip if you don't want to use venv
3. `cd chatai && pip install -e .`
4. `cd chatai && python main.py`

---

Here are the special tokens used by the model:

- <pad>: Used to pad sequences to a fixed length.
- <bos>: Beginning of sequence token, used to indicate the start of a sequence.
- <eos>: End of sequence token, used to indicate the end of a sequence.
- <unk>: Unknown token, used to represent out-of-vocabulary words.
- <mask>: Mask token, used for masked language modeling tasks.
- <extra_id_X>: Special token used to represent additional task-specific labels, where X is a number from 0 to 99.
- <eot>: End of turn token, used in conversation models to indicate the end of a speaker's turn.