NanoGPT Personal Experiment
This repository contains my personal experiment with training and fine-tuning a GPT-2 style language model. This project was undertaken as a learning exercise to understand transformer-based language models and explore the capabilities of modern AI architectures.
Model Description
This model is based on the nanoGPT implementation, which is a minimal, clean implementation of GPT-2 style models. The architecture follows the original GPT-2 design principles while being more accessible and easier to understand.
Technical Details
- Base Architecture: GPT-2
- Training Infrastructure: 8x A100 80GB GPUs
- Parameters: ~124M (similar to GPT-2 small)
Training Process
The model underwent a multi-stage training process:
- Initial training on a subset of the OpenWebText dataset
- Experimentation with different hyperparameters and optimization techniques
Features
- Clean, minimal implementation of the GPT architecture
- Efficient training utilizing modern GPU capabilities
- Configurable generation parameters (temperature, top-k sampling)
- Support for both direct text generation and interactive chat
Use Cases
This model is primarily an experimental project and can be used for:
- Educational purposes to understand transformer architectures
- Text generation experiments
- Research into language model behavior
- Interactive chat experiments
Limitations
As this is a personal experiment, please note:
- The model may produce inconsistent or incorrect outputs
- It's not intended for production use
- Responses may be unpredictable or contain biases
- Performance may vary significantly depending on the input
Development Context
This project was developed as part of my personal exploration into AI/ML, specifically focusing on:
- Understanding transformer architectures
- Learning about large-scale model training
- Experimenting with different training approaches
- Gaining hands-on experience with modern AI infrastructure
Acknowledgments
This project builds upon the excellent work of:
- The original GPT-2 paper by OpenAI
- The nanoGPT implementation by Andrej Karpathy
- The broader open-source AI community
Disclaimer
This is a personal experimental project and should be treated as such. It's not intended for production use or as a replacement for more established language models. The primary goal was learning and experimentation.
Feel free to explore the model and provide feedback. Remember that this is an experimental project, and results may vary significantly from more established models.
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