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https://github.com/islamhaqq/litelanguagemodel
LiteLanguageModel is a simplified version of a large language model, developed with educational purposes in mind. It aims to provide insights into the inner workings of language processing using deep learning technologies, focusing on the core concepts of transformer architecture.
https://github.com/islamhaqq/litelanguagemodel
Last synced: 5 days ago
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LiteLanguageModel is a simplified version of a large language model, developed with educational purposes in mind. It aims to provide insights into the inner workings of language processing using deep learning technologies, focusing on the core concepts of transformer architecture.
- Host: GitHub
- URL: https://github.com/islamhaqq/litelanguagemodel
- Owner: islamhaqq
- Created: 2024-03-04T02:54:29.000Z (9 months ago)
- Default Branch: master
- Last Pushed: 2024-03-04T18:13:08.000Z (9 months ago)
- Last Synced: 2024-09-13T15:42:40.181Z (2 months ago)
- Language: C++
- Homepage:
- Size: 1.25 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# LiteLanguageModel
LiteLanguageModel is a simplified version of a large language model, developed with educational purposes in mind. It aims to provide insights into the inner workings of language processing using deep learning technologies, focusing on the core concepts of transformer architecture.
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
### Prerequisites
What things you need to install the software and how to install them:
- Python 3.8 or higher
- CUDA Toolkit 11.2 or higher (if you plan to run the model on GPU)
- Required Python libraries: `numpy`, `torch`, `transformers`
### Installing
A step-by-step series of examples that tell you how to get a development environment running:
1. Clone the repository:
```bash
git clone https://github.com/yourusername/LiteLanguageModel.git
```
2. Install the required Python packages:
```bash
cd LiteLanguageModel
pip install -r requirements.txt
```
3. Verify the installation by running a simple test:
```bash
python test.py
```
## Usage
Provide instructions on how to use the model, including any scripts for training, testing, or inference. For example:
```bash
python train.py --data_path "data/my_dataset.txt" --epochs 5 --batch_size 32
```
## Tips
**Stay Updated**: If the TensorLite repository updates, you can update your submodule to the latest commit by:
```bash
git submodule update --remote TensorLite
git commit -am "Updated TensorLite submodule to latest"
git push
```
**Initialization for New Clones**: initialize and update the submodules:
```bash
git clone --recurse-submodules https://github.com/SyedAman/LiteLanguageModel.git
```
## Contributing
Please read [CONTRIBUTING.md](https://github.com/yourusername/LiteLanguageModel/blob/main/CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.
## Versioning
We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/yourusername/LiteLanguageModel/tags).
## Authors
- **Your Name** - *Initial work* - [YourUsername](https://github.com/YourUsername)
See also the list of [contributors](https://github.com/yourusername/LiteLanguageModel/contributors) who participated in this project.
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.
## Acknowledgments
- Hat tip to anyone whose code was used
- Inspiration
- etc.