Announcement
Minimind: Train a 26M-Parameter GPT from Scratch in 2 Hours
Train a 26M-parameter GPT from scratch in just 2 hours using optimized techniques. This project provides the code and guidance for quickly training small language models, ideal for educational purposes or resource-constrained environments.
Project Introduction
Summary
This project, 'minimind', enables users to train a small, 26-million parameter Generative Pre-trained Transformer (GPT) model from the ground up in approximately 2 hours. It focuses on providing an efficient and understandable training pipeline.
Problem Solved
Training large language models is computationally expensive and time-consuming. This project addresses the need for a fast, accessible way to train a functional language model from scratch, making it feasible for learning and experimentation.
Core Features
Fast Training (2 hours)
Highly optimized training script designed for speed on readily available hardware.
Small Model Size (26M)
Implementation of a compact 26M-parameter GPT model architecture.
Educational Focus
Clear and well-documented code suitable for understanding the training process.
Tech Stack
使用场景
The project's fast training capability and small model size make it suitable for various applications, including:
Scenario 1: Educational Tool for ML Training
Details
Use the codebase to understand the training loop, gradient descent, and other core concepts of transformer training without requiring extensive compute time.
User Value
Demystifies the transformer training process and makes hands-on learning accessible.
Scenario 2: Prototyping and Experimentation
Details
Quickly train a small language model on domain-specific text data for prototyping or tasks where a large model is overkill or impractical.
User Value
Enables rapid iteration on model architectures or training methodologies for smaller datasets.
Recommended Projects
You might be interested in these projects
LSPosedLSPatch
LSPatch is a powerful framework that allows you to apply Xposed modules and modify Android applications at runtime, without requiring root access. It extends the capabilities of LSPosed to provide flexible app customization and development tools.
coturncoturn
coturn is a free open source implementation of TURN and STUN servers. It is used to traverse NAT and firewalls for real-time communication applications such as WebRTC, VoIP, and online gaming.
simple-iconssimple-icons
Discover and use high-quality, free SVG icons for popular brands and companies. Perfect for web development, documentation, and presentations.