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GPT_mini_clone: A compact version of GPT designed for lightweight applications and rapid deployment, offering efficient natural language understanding and generation capabilities with reduced computational requirements.

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GPT Mini Clone

Welcome to the GPT Mini Clone repository! 🤖✨ This project is a simplified implementation of a GPT-like model, designed to provide an accessible and lightweight version of large language models. Ideal for experimentation, learning, and development, GPT Mini Clone offers a starting point for those interested in understanding and working with generative language models.

📜 Overview

GPT Mini Clone brings the core functionalities of GPT models into a more manageable size, making it easier to run and experiment with generative language tasks. This project focuses on maintaining the essential features while offering a more efficient and easier-to-use model.

🚀 Features

  • Lightweight Model: A compact version of GPT that is easier to train and deploy.
  • Generative Capabilities: Generate coherent and contextually relevant text based on input prompts.
  • Customizable Architectures: Modify the model architecture to fit specific needs or constraints.
  • Pretrained Weights: Utilize pretrained weights for quick setup and testing.
  • Simplified Training: Streamlined training process with straightforward configuration options.

📥 Installation

To get started with GPT Mini Clone, follow these steps:

  1. Clone the Repository:

    git clone https://github.com/yourusername/GPT_mini_clone.git
    cd GPT_mini_clone
  2. Set Up Your Environment: Ensure you have Python 3.8 or later installed. Create a virtual environment and install the dependencies:

    python -m venv env
    source env/bin/activate
    pip install -r requirements.txt
  3. Run the Project: Follow the instructions in the docs/usage.md file to start using GPT Mini Clone.

📖 Documentation

Explore our documentation to learn how to use and customize GPT Mini Clone:

  • Getting Started Guide: Introduction to GPT Mini Clone, setup instructions, and basic usage.
  • Model Architecture: Details on the model architecture and configuration options.
  • Training: Instructions on how to train the model and tips for optimizing performance.
  • Inference: How to perform inference and generate text with GPT Mini Clone.

🤝 Contributing

We welcome contributions from the community! To contribute to GPT Mini Clone:

  1. Fork the Repository
  2. Create a New Branch
  3. Make Your Changes
  4. Submit a Pull Request

Please refer to our Contributing Guidelines for more details.

📝 License

This project is licensed under the MIT License. See the LICENSE file for more information.

🌟 Acknowledgments

Thank you to the researchers and developers of the GPT models and the open-source community for their contributions and support.

Happy generating with GPT Mini Clone! 🤖✨


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GPT_mini_clone: A compact version of GPT designed for lightweight applications and rapid deployment, offering efficient natural language understanding and generation capabilities with reduced computational requirements.

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