LLMs-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

103.6k
Stars
+25.3k
Gained
32.2%
Growth
Jupyter Notebook
Language

💡 Why It Matters

The LLMs-from-scratch repository addresses the need for engineers to implement a ChatGPT-like large language model using PyTorch, providing a clear, step-by-step guide. This resource is particularly beneficial for ML and AI teams looking to deepen their understanding of generative AI and attention mechanisms. With a growth trend of 32.2% over 287 days, it demonstrates strong community interest and relevance. While the project is a solid educational tool, it may not be suitable for teams seeking a production-ready solution without significant adaptation and testing. Engineers should evaluate their specific requirements before committing to this self-hosted option.

🎯 When to Use

This repository is a strong choice for teams aiming to build custom LLMs from the ground up, particularly in research or experimental settings. However, teams requiring a stable, production-ready solution might consider established frameworks or libraries instead.

👥 Team Fit & Use Cases

This resource is primarily used by machine learning engineers and AI researchers who need to implement and experiment with large language models. It is often integrated into research projects, educational tools, or prototypes that explore generative AI capabilities.

🎭 Best For

🏷️ Topics & Ecosystem

ai artificial-intelligence attention-mechanism deep-learning finetuning from-scratch generative-ai gpt instruction-tuning language-model large-language-models llm machine-learning natural-language-processing pretraining python pytorch tokenizer transformers

📊 Activity

Latest commit: 2026-08-10. Over the past 286 days, this repository gained 25.3k stars (+32.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.