minimind is a framework that enables users to train a 26-million-parameter GPT (Generative Pre-trained Transformer) model from scratch in approximately two hours. It provides a streamlined process for data preparation, model training, and evaluation, making it accessible for individuals and organizations to develop their own language models without extensive computational resources.
Features
- Efficient GPT model training
- 26M-parameter model size
- Approximately two-hour training time
- Simplified data preparation
- User-friendly training scripts
- Model evaluation tools
- Support for customization
- Open-source framework
- Extensive documentation
Project Samples
License
Apache License V2.0Follow MiniMind
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of MiniMind!