Project Title
LLMs-from-scratch — Building ChatGPT-like Large Language Models (LLMs) in PyTorch from Scratch
Overview
LLMs-from-scratch is an open-source project that provides a step-by-step guide to implementing a ChatGPT-like Large Language Model (LLM) using PyTorch. The project is based on the book "Build a Large Language Model (From Scratch)" and aims to help developers understand the inner workings of LLMs by building their own small-but-functional model. It also includes code for loading the weights of larger pretrained models for finetuning.
Key Features
- Step-by-step guide to building a GPT-like LLM from scratch
- Code for developing, pretraining, and finetuning an LLM
- Mirrors the approach used in creating large-scale foundational models like ChatGPT
- Includes code for loading weights of larger pretrained models for finetuning
- Clear explanations, diagrams, and examples throughout the process
Use Cases
- Researchers and developers looking to understand the inner workings of LLMs
- Educators and students studying natural language processing and machine learning
- Developers building their own LLMs for specific applications or research projects
- Companies looking to finetune existing LLMs for their specific use cases
Advantages
- Provides a comprehensive, step-by-step guide to building an LLM from scratch
- Mirrors the approach used in creating large-scale foundational models, making it highly relevant
- Includes code for loading weights of larger pretrained models, enabling finetuning
- Clear explanations, diagrams, and examples make it accessible to beginners and experts alike
Limitations / Considerations
- Building an LLM from scratch requires significant computational resources and time
- The project focuses on educational purposes and may not be suitable for production-level applications
- The code provided is for a small-but-functional model, which may not match the performance of large-scale LLMs
Similar / Related Projects
- Hugging Face Transformers: A library of pre-trained models for NLP, including LLMs like GPT-2 and GPT-3. It differs from LLMs-from-scratch in that it provides pre-trained models rather than guiding users to build their own from scratch.
- TensorFlow: An open-source machine learning framework that can be used to build and train LLMs. It differs from LLMs-from-scratch in that it is a general-purpose ML framework rather than a specific guide to building LLMs.
- PyTorch: The deep learning framework used in LLMs-from-scratch. It provides the foundation for building and training neural networks, including LLMs.
Basic Information
- GitHub: https://github.com/rasbt/LLMs-from-scratch
- Stars: 68,883
- License: Unknown
- Last Commit: 2025-09-04
📊 Project Information
- Project Name: LLMs-from-scratch
- GitHub URL: https://github.com/rasbt/LLMs-from-scratch
- Programming Language: Jupyter Notebook
- ⭐ Stars: 68,883
- 🍴 Forks: 9,739
- 📅 Created: 2023-07-23
- 🔄 Last Updated: 2025-09-04
🏷️ Project Topics
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🔗 Related Resource Links
🌐 Related Websites
- Build a Large Language Model (From Scratch)
- Build a Large Language Model (From Scratch)
- source code repository
- Link to the book at Manning (the publisher's website)
- Link to the book page on Amazon.com
This article is automatically generated by AI based on GitHub project information and README content analysis