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https://github.com/muhammad-fiaz/gemgpt
Explore the power of Gemma model with GemGPT, a project leveraging AI for innovative solutions. Join us in shaping the future of AI!
https://github.com/muhammad-fiaz/gemgpt
fine-tuning gem-gpt gemgpt gemma gemma-2b gemma-2b-it gemma-7b gemma-7b-it gpt gpt-gem gptgem large-language-model large-language-models llm llms openai python pytorch
Last synced: 12 days ago
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Explore the power of Gemma model with GemGPT, a project leveraging AI for innovative solutions. Join us in shaping the future of AI!
- Host: GitHub
- URL: https://github.com/muhammad-fiaz/gemgpt
- Owner: muhammad-fiaz
- License: apache-2.0
- Created: 2024-03-25T15:25:21.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-06-10T12:55:22.000Z (5 months ago)
- Last Synced: 2024-10-06T15:42:02.710Z (about 1 month ago)
- Topics: fine-tuning, gem-gpt, gemgpt, gemma, gemma-2b, gemma-2b-it, gemma-7b, gemma-7b-it, gpt, gpt-gem, gptgem, large-language-model, large-language-models, llm, llms, openai, python, pytorch
- Language: Python
- Homepage: https://huggingface.co/spaces/muhammadfiaz/GemGPT
- Size: 73.2 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
README
[](./LICENSE)
[](https://github.com/muhammad-fiaz/gemgpt/releases)
[](https://github.com/muhammad-fiaz/gemgpt)
[](https://github.com/muhammad-fiaz/gemgpt)
[](https://github.com/muhammad-fiaz/gemgpt/commits/main)
[](https://github.com/muhammad-fiaz/gemgpt/graphs/contributors)
[](https://github.com/muhammad-fiaz/gemgpt/issues)
[](https://github.com/muhammad-fiaz/gemgpt/issues?q=is%3Aissue+is%3Aclosed)
[](https://github.com/muhammad-fiaz/gemgpt/pulls)
[](https://github.com/muhammad-fiaz/gemgpt/network/members)
[](https://github.com/muhammad-fiaz/gemgpt/stargazers)
[](https://github.com/muhammad-fiaz/gemgpt/watchers)
[](https://huggingface.co/spaces/muhammadfiaz/GemGPT)
GemGPT is a project that leverages the Gemma model published by Google to create powerful natural language processing applications using the GPT architecture. This repository contains the codebase for GemGPT, which aims to provide a user-friendly interface for fine-tuning the Gemma model for 2b and 7b variants.
> Don't forget to star ⭐ if you find GemGPT useful! and fork 🍴 the repository to contribute it ❤️
## Table of Contents
- [Overview](#)
- [Features](#features)
- [setup](#setup)
- [Getting Started](#getting-started)
- [Technology Stack](#technology-stack)
- [Contributing](#contributing)
- [Code of Conduct](#code-of-conduct)
- [Support](#support)
- [Acknowledgements](#acknowledgements)
- [License](#license)
## Features
- Utilizes the Gemma model for natural language processing tasks.
- Provides an easy-to-use interface for integrating Gemma with AI applications.
- Offers advanced features for text generation, sentiment analysis, and more.
## Setup
To use a model from Hugging Face Hub, you need to first install the transformers library and then use the CLI to log in to the Hugging Face Hub.
Install the transformers library:
```bash
pip install transformers
```
Login to the Hugging Face Hub using the CLI:
```bash
transformers-cli login
```
After that, you need to auth using your login token. for more info checkout:- [https://huggingface.co/docs/huggingface_hub/quick-start](https://huggingface.co/docs/huggingface_hub/quick-start)
## Getting Started
To get started with GemGPT, clone the repository and follow the setup instructions in the documentation.
```shell
git clone https://github.com/muhammad-fiaz/gemgpt.git
```
Navigate to the project directory and install the required dependencies:
```shell
cd gemgpt
pip install -r requirements.txt
```
Run the application using the following command:
```shell
python launch.py
```
To use GemGpt on Colab or Jupyter Notebook, you can use the following code:
```bash
!git clone https://github.com/muhammad-fiaz/gemgpt.git
!python -m pip install -r requirements.txt
!python launch.py --share
```
You can try out a demo of GemGPT on Hugging Face Spaces, but for optimal performance, we recommend running it locally with a CPU or GPU.
[](https://huggingface.co/spaces/muhammadfiaz/GemGPT)
## Technology Stack
GemGPT is built using the following technologies:
- **Python**: Programming language used for the core implementation.
- **PyTorch**: Deep learning framework used for training and inference.
- **Gradio**: Web-based UI library used for creating the user interface.
- **Transformers**: Library used for working with pre-trained language models.
- **Hugging Face**: Platform used for sharing and downloading pre-trained models.
- **Logly**: Logging library used for tracking and monitoring the application.
## Contributing
We welcome contributions from the community to improve GemGPT. If you're interested in contributing, please read our contributing guidelines.
## CODE OF CONDUCT
We expect contributors to adhere to the GemGPT code of conduct. Please read the [code of conduct](./CODE_OF_CONDUCT.md) before contributing.
## Support
If you have any questions or need help with GemGPT, please reach out to us via the issue tracker.
_Support the Project by Becoming a Sponsor on GitHub_
[](https://github.com/sponsors/muhammad-fiaz)
## Acknowledgements
GemGPT is built on top of the Gemma model published by Google. We would like to thank the authors of the Gemma model for their work and for making it available as open-source.
## License
GemGPT is licensed under the Apache License 2.0. See the [LICENSE](./LICENSE) file for more details.
```bibtex
@software{Muhammad_Fiaz_GemGPT_2024,
author = {{Muhammad Fiaz}},
license = {Apache-2.0},
month = mar,
title = {{GemGPT}},
url = {https://github.com/muhammad-fiaz/GemGPT},
version = {0.0.0},
year = {2024}
}