jingyaogong/minimind

Overview

MiniMind is a compact training framework that demonstrates how to train a ~64M parameter language model from scratch in under two hours, focusing on clarity and minimalism.[3] It is built to be understandable rather than maximal performance, making it ideal for learning, custom tasks, and research prototypes. Developers should care because it offers a practical, end-to-end example of modern LLM training without the complexity of large-scale systems.