Show HN: TinyGPT – A Simple, Educational Deep Learning Library
TinyGPT is a Python library for implementing and training GPT models, focusing on educational clarity. It features a modular design, installation via GitHub, and encourages contributions and testing with pytest.
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TinyGPT is a minimalistic library designed for implementing, training, and performing inference on GPT models in Python, emphasizing educational purposes and clarity over complex optimizations. The library is entirely written in Python, making it accessible for users to follow and modify. It is inspired by projects such as NanoGPT and Tinygrad, and features a modular design that organizes its functionalities into several specific modules. Installation can be done from the source via GitHub, and the project structure includes directories for data preparation, documentation, examples, core library functions, and testing. The examples provided demonstrate the library's capabilities, including training a GPT model and applying its components to the MNIST dataset. Documentation and a quick start guide are available to assist users. Contributions to the project are encouraged, with discussions on major changes recommended through issues. Testing the library can be accomplished using pytest. For further details, users can refer to the TinyGPT GitHub repository.
- TinyGPT is designed for educational purposes, focusing on clarity and understanding of GPT models.
- The library is implemented entirely in Python and features a modular design.
- Installation and usage instructions are provided in the repository, along with example scripts.
- Contributions to the project are welcomed, with a focus on collaborative development.
- Testing can be performed using pytest to ensure the library's functionality.
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1 commentsI wanted to implement a GPT model from scratch and train it without relying on any external dependencies. However, I found that understanding how frameworks like PyTorch work under the hood was overly complex and difficult to navigate. So, I built TinyGPT — a simple, educational deep learning library written entirely in Python. It’s designed to be minimal and transparent, making it easier to grasp the core concepts of deep learning. I hope it can help others who are also trying to learn how these powerful models work from the inside out.
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