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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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library_name: transformers |
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new_version: k050506koch/GPT3-dev-125m-1202 |
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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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## inference: |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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model = AutoModelForCausalLM.from_pretrained('k050506koch/GPT3-dev-125m-0612', trust_remote_code=True) |
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tokenizer = AutoTokenizer.from_pretrained('k050506koch/GPT3-dev-125m-0612') |
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tokenizer.pad_token_id = tokenizer.eos_token_id |
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print("\n", tokenizer.decode(model.generate(tokenizer.encode("He is a doctor. His main goal is", return_tensors='pt'), |
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max_length=128, temperature=0.7, top_p=0.9, repetition_penalty=1.2, no_repeat_ngram_size=3, |
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num_return_sequences=1, do_sample=True)[0], skip_special_tokens=True)) |
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``` |
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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/) |