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--- |
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license: mit |
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datasets: |
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- HuggingFaceFW/fineweb |
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language: |
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- en |
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pipeline_tag: text-generation |
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widget: |
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- text: "He is a doctor. His main goal is" |
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example_title: " to help people." |
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- text: "My name is Merve and my favorite" |
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example_title: "activity is reading." |
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--- |
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# GPT3 |
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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. |
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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. |
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# **You can find all code on [GitHub](https://github.com/krll-corp/GPT3)** |
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# 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.) |
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# 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) |
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## Contributing |
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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. |
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## License |
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This project is licensed under the MIT License. See the LICENSE file for details. Everyone can use and modify this code at their discretion. |
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## Acknowledgements |
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Thanks OpenAI, HuggingFace and Pytorch for making this project possible! |
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- [OpenAI GPT-3 Paper](https://arxiv.org/abs/2005.14165) |
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- [Hugging Face Transformers](https://github.com/huggingface/transformers) |
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- [PyTorch](https://pytorch.org/) |
