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https://github.com/turboderp/exui
Web UI for ExLlamaV2
https://github.com/turboderp/exui
Last synced: 1 day ago
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Web UI for ExLlamaV2
- Host: GitHub
- URL: https://github.com/turboderp/exui
- Owner: turboderp
- License: mit
- Created: 2023-10-29T20:03:05.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-05-17T07:06:48.000Z (6 months ago)
- Last Synced: 2024-05-17T08:28:30.847Z (6 months ago)
- Language: JavaScript
- Size: 2.78 MB
- Stars: 357
- Watchers: 8
- Forks: 31
- Open Issues: 24
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- awesome-local-llms - exui
- awesome-repositories - turboderp/exui - Web UI for ExLlamaV2 (JavaScript)
README
# ExUI
This is a simple, lightweight browser-based UI for running local inference using [ExLlamaV2](https://github.com/turboderp/exllamav2).
### Overview of features
- Friendly, responsive and minimalistic UI
- Persistent sessions
- Multiple instruct formats
- Speculative decoding
- Supports EXL2, GPTQ and FP16 models
- Notepad mode### Screenshots
[![chat_screenshot](doc/screenshot_1_thumb.png)](doc/screenshot_1.png)
[![chat_screenshot](doc/screenshot_2_thumb.png)](doc/screenshot_2.png)
[![chat_screenshot](doc/screenshot_3_thumb.png)](doc/screenshot_3.png)
[![chat_screenshot](doc/screenshot_4_thumb.png)](doc/screenshot_4.png)
[![chat_screenshot](doc/screenshot_5_thumb.png)](doc/screenshot_5.png)
[![chat_screenshot](doc/screenshot_6_thumb.png)](doc/screenshot_6.png)
[![chat_screenshot](doc/screenshot_7_thumb.png)](doc/screenshot_7.png)
[![chat_screenshot](doc/screenshot_8_thumb.png)](doc/screenshot_8.png)### Running locally
First, clone this repository and install requirements:
```
git clone https://github.com/turboderp/exui
cd exui
pip install -r requirements.txt
```Then run the web server with the included server.py:
```
python server.py
```Your browser should automatically open on the default IP/port. Config and sessions are stored in `~/exui` by default.
Prebuilt wheels for ExLlamaV2 are available [here](https://github.com/turboderp/exllamav2/releases). Installing
the latest version of [Flash Attention](https://github.com/Dao-AILab/flash-attention) is recommended.### Running in Google Colab
An example Colab notebook is provided [here](https://github.com/turboderp/exui/blob/master/doc/colab.ipynb).
### Installation
More detailed installation instructions can be found [here](https://github.com/turboderp/exui/blob/master/doc/manual-install.md).
### More to come
Stay tuned.
![avatar_unicorn.png](static%2Fgfx%2Favatar_unicorn.png)