LLMs-from-scratch

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

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💡 Why It Matters

The LLMs-from-scratch repository addresses the need for engineers to implement large language models (LLMs) like ChatGPT using PyTorch, providing a hands-on approach to understanding deep learning architectures. This resource is particularly beneficial for ML and AI teams looking to fine-tune models or develop custom solutions from the ground up. With a growth of 35.6% in stars over 332 days, it demonstrates strong community interest and relevance. While the repository is a valuable learning tool, it may not be the best choice for teams seeking a production-ready solution without extensive customisation, as it requires a solid understanding of deep learning principles and coding proficiency.

🎯 When to Use

This repository is a strong choice for teams aiming to build and experiment with LLMs in a self-hosted environment, particularly for educational purposes or custom model development. However, teams should consider alternatives if they require a more mature, production-ready solution with built-in support.

👥 Team Fit & Use Cases

Roles such as machine learning engineers, data scientists, and AI researchers will find this repository useful for developing and testing LLMs. It is typically included in products or systems that require natural language processing capabilities, such as chatbots, content generation tools, or AI-driven applications.

🎭 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: 2026-10-02. Over the past 331 days, this repository gained 27.9k stars (+35.6% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.