jingyaogong/minimind
🧠 Train a 64M-parameter LLM from scratch in just 2h!
Python59K stars7.7K forks+472 today
Topics
#artificial-intelligence#large-language-model
What it does
MiniMind is an open-source project that allows users to train a small-scale language model with only 64M parameters in just 2 hours and minimal cost, providing full access to the training process from scratch. It aims to lower the entry barrier for understanding large language models.
Star history
Tracking
- Last trending
- 2026-08-31
Creator kit
Hook
Train your own LLM in just 2 hours with MiniMind! Dive into the full training process from scratch and understand how it works. 🚀🤖
Content angles
- Create a step-by-step tutorial on setting up and running MiniMind for language model enthusiasts.
- Compare MiniMind's performance against other small-scale models in specific tasks like text generation or question answering.
- Analyze the cost-effectiveness of training LLMs with MiniMind versus larger, more established frameworks.
Who should care
AI researchers, developers interested in language modeling, and anyone looking to understand how large language models work without high computational costs.