---
license: mit
datasets:
- HuggingFaceFW/fineweb
language:
- en
pipeline_tag: text-generation

widget:
- text: "He is a doctor. His main goal is"
  example_title: " to help people."
- text: "My name is Merve and my favorite"
  example_title: "activity is reading."
---
# GPT3

Welcome to the GPT3 repository! This project is an attempt to recreate the architecture and approach from the original OpenAI GPT-3 paper. The repository includes scripts for training, fine-tuning, and inference of a GPT-3-like model using PyTorch and the Hugging Face Transformers library.
Here are located weights of dev checkpoints of my models. You can always download a folder, paste it's path inside inference.py and chat with them.

# **You can find all code on [GitHub](https://github.com/krll-corp/GPT3)**
# Note: This is a model with 125 million parameters. It was trained on 3.6Bn tokens. (Of course, it's very undertrained, but this one should be a technology demonstrator.)
# Note 2: This is a model checkpoint released on 06/12 2024 and has been trained for longer (12 batch size, 4 grad accumulation, 512 tokens and 600,000 steps). It scores 27.65% on MMLU which is slightly higher than 25% (random guess)
## Contributing

Contributions are welcome! I'm just a student who is interested in AI so my code may be incorrect or have logical issues. Please open an issue or submit a pull request for any improvements or bug fixes, I will be happy.

## License

This project is licensed under the MIT License. See the LICENSE file for details. Everyone can use and modify this code at their discretion.

## Acknowledgements

Thanks OpenAI, HuggingFace and Pytorch for making this project possible!

- [OpenAI GPT-3 Paper](https://arxiv.org/abs/2005.14165)
- [Hugging Face Transformers](https://github.com/huggingface/transformers)
- [PyTorch](https://pytorch.org/)