OpenArch, a repository of PyTorch implementations, has unveiled a collection of hand-written models of modern Large Language Model (LLM) architectures. The repository contains implementations of various models, including GPT-2, Llama, and OLMo, with a focus on clarity and learning rather than production speed.
The implementations are based on the original papers, technical reports, and reference configuration files, as well as the work of Sebastian Raschka and Machine Learning Mastery. Each model is implemented in a single, readable file, with structural choices such as attention type, normalization, and positional encoding made explicit and easy to compare.
The repository aims to provide a learning resource for those interested in understanding how modern LLMs are built. The implementations are designed to be readable, with a focus on prioritizing clarity over performance. This approach allows for a deeper understanding of the architectural choices and design decisions behind each model.
With a growing list of implementations, OpenArch is actively seeking contributors to help expand the repository. Contributions can range from implementing new models to adding documentation and tests for existing ones. The repository is licensed under the Apache License 2.0, and individual model implementations follow the licenses of the original models where applicable.
The OpenArch repository is organized into folders for each model, with a model.py file and a short README.md describing the architectural choices and references used. The repository also includes a requirements.txt file and a CONTRIBUTING.md file with more details on how to contribute.
Some of the models implemented in OpenArch include GPT-2, Llama 2, Llama 3, OLMo 2, and DeepSeek R1, among others. Each implementation is marked with a status indicator, indicating whether it is usable for forward passes or under construction.
The repository's focus on readability and learning makes it an invaluable resource for those looking to deepen their understanding of modern LLM architectures. By providing a clear and comparable implementation of each architecture, OpenArch enables researchers and developers to explore and learn from the design decisions behind these complex models.
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