Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Paper accepted by CIKM 2024. Codes of GongBU, a LLM fine-tuning platform for domain-specific adaptation.
| Date | Stars |
|---|---|
| 2026-07-31 | 1225 |
| 2026-08-06 | 1225 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# 天功/GongBU <img src="https://github.com/Bolin97/GongBU/blob/main/frontend/static/logo_new.jpg" alt="logo" width="30"/>
🚀 GongBU is a comprehensive, all-in-one, no-code, local finetuning platform for large language models. Once deployed, there is no need to write any code to finetune a model, and the platform can be used by anyone with a web browser. The platform is built on top of the Transformers, Peft, etc. and is designed to be easy to use for non-technical users.
📈 You can easily finetune, evaluate, and deploy models with the platform.
📦 Currently, by default, the platform should be started with docker-compose in a linux system with nvidia-docker. However, by installing the required dependencies, with correct configurations, the platform can be run natively.
## 📦 Recommended Way of Installation
The recommended installation is to use the docker-compose file provided in the repository on a linux system with nvidia-docker. This is the easiest way to install the platform.
It's simple, clone the repository, then run the `download.py` (inquirer and rich libraries are required) to download necessary files that are not included in the repository, micromamba and a bert model to be exact.
You need to install docker and [nvidia-docker](https://github.com/NVIDIA/nvidia-container-toolkit).
Then run the following command:
```bash
docker compose -f docker-compose.prod.yaml up
```
The platform should be running on `localhost:5173` behind an nginx reverse proxy. Simply use `localhost:5173/home` to access the platform.
## 🔧 Usage
After accessing the platform, you will be welcomed by the log in page. By default, the platform does not provide any user, so you need to create a user by clicking the sign up button.
When signing up, by default, you will need a token to sign up. It will be in the `sign_up_token.txt` file in the root directory of the project. You can change the token in the `sign_up_token.txt` however you want. Nevertheless, you can use a permissive registering strategy by setting the environment variable `NO_SIGNUP_TOKEN` in the docker compose file, which will allow anyone to sign up.
After logging in, you will find everything to be empty, here's how you can import assets into the platform, only two kinds of assets are needed, the dataset and the model.
- To upload a dataset, you need to go to the data page. The datasets are arranged in pools, with each pools containing several datasets. You can create a new pool by clicking the create button, and follow the instructions to upload a dataset. You can also click the details button of an existing pool to upload a dataset to that pool.
- To download models, you need to go to the model download page.
Type in the relavent information in the form, and click the add button, there will be a list down below showing the models that you have added.
After you have uploaded the datasets and downloaded the models, you can fintune, evaluate and deploy the models on respective pages.
## ✅ Current Status
The platform is now fully functional, albeit under constant development and polishing, especially the frontend, and breaking changes may take place.
## 🧾 Trivial
- We used [bun](https://bun.sh) instead of node, which is a blazingly-fast, all-in-one js bundler, runtime, test runner, package manager, etc. It is a relatively new project, but its performance attracted us to use it. Currently, it is stable for our use. However, if you want to switch to node for better stability, simply change all the bun-related command in the dockerfile to node or npm.
## ⚠️ Disclaimer
FOR ANY LOSS OR DAMAGE, THE DEVELOPER IS NOT RESPONSIBLE, AS IS STATED IN THE MIT LICENSE.
### 🔒 Security Issues
This project uses plain text to transfer data between the client and the server, which includes the username, password, and dataset. The password is hashed before being stored in the database, but the dataset is stored in plain text.
If you nExcerpt of 4,784 characters
Read on GitHub
58
7
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:28effa67d71ded97, desc:fine-tuning, desc:fine tuning