appleroll/kernelgpt
Ring-0 GPT inside MooseOS.
This project is a bare-metal implementation of a Generative Pre-trained Transformer (GPT) designed for deeply embedded systems and specialized hardware environments. It allows developers to explore the fundamental mechanics of neural network training without relying on standard operating systems or high-level libraries. You input raw training data in a simplified format, and it outputs a trained GPT-style neural network directly within a minimal kernel environment. It's built for systems programmers, kernel developers, and researchers focusing on the low-level aspects of AI.
Use this if you are a systems programmer or researcher interested in understanding or building AI models from the ground up, on bare-metal hardware, without the overhead of an operating system or extensive libraries.
Not ideal if you are an AI practitioner who wants to train large-scale models, use existing deep learning frameworks, or deploy models on standard computing infrastructure.
Stars
11
Forks
1
Language
C
License
MIT
Category
Last pushed
Feb 24, 2026
Commits (30d)
0
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