skyloevil/llm-scratch-pytorch
lm-scratch-pytorch - The code is designed to be beginner-friendly, with a focus on understanding the fundamentals of PyTorch and implementing LLMs from scratch,step by step.
This project helps aspiring machine learning engineers and researchers understand how large language models (LLMs) like GPT-2 are built from the ground up using PyTorch. It guides you step-by-step through implementing the core components, starting from basic PyTorch concepts, all the way to optimizing performance with techniques like Flash Attention. You'll work with actual LLM architectures and gain practical knowledge of their internal workings.
100 stars.
Use this if you are a machine learning engineer or researcher who wants to learn the fundamental building blocks of LLMs and implement them from scratch using PyTorch.
Not ideal if you're looking for a high-level library to quickly deploy or fine-tune existing LLMs without needing to understand their low-level implementation.
Stars
100
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 27, 2026
Commits (30d)
0
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