AlQuraishi Laboratory

weights

open(Apache-2.0 OpenFold3 checkpoints behind an auto-approved form, and OpenFold's own AlphaFold 2-reproduction parameters fetched by repository scripts)

data

open(OpenProteinSet, some 400,000 MSAs and PDB70 template hit files, on the AWS Registry of Open Data)

code

open(train_openfold.py plus a documented end-to-end training guide, not inference alone)

license

Apache-2.0(OSI)

The reason OpenFold exists is the reason it reaches the top rung - it was built to be retrained, and the corpus, the pipeline and the resulting weights all shipped under one OSI license. The evidence is the AlphaFold-2 reproduction SKU specifically - OpenProteinSet on the AWS open-data registry, paired with train_openfold.py and its training guide. OpenFold3-preview ships checkpoints without an equivalent published corpus or pipeline, so it rides on the line's score rather than earning it; the OF2 SKU carries the 5 on its own. The CC-BY-4.0 note in the repository covers DeepMind's parameters, which OpenFold can also load; it does not govern OpenFold's own release.

• https://huggingface.co/api/models/OpenFold/OpenFold3 recorded 2026-09-10

  license: apache-2.0; private: false; gated: auto with the prompt "The OpenFold3-preview model is released under Apache 2.0 license. You will automatically get access to the model after answering the following simple questions"; four checkpoints/*.pt files present.

• https://raw.githubusercontent.com/aqlaboratory/openfold/main/docs/source/original_readme.md recorded 2026-09-10

  "We've publicly released model weights and our training data - some 400,000 MSAs and PDB70 template hit files - under a permissive license. Model weights are available via scripts in this repository while the MSAs are hosted by the Registry of Open Data on AWS."

• https://registry.opendata.aws/openfold/ recorded 2026-09-10

  OpenProteinSet listed on the Registry of Open Data on AWS as a public dataset, cited as OpenFold's training data.

• https://openfold.readthedocs.io/en/latest/Training_OpenFold.html recorded 2026-09-10

  A training guide covering how to train an OpenFold model from the RODA dataset and how to fine-tune it, alongside a separate page on setting up the PDB training set.

• https://raw.githubusercontent.com/aqlaboratory/openfold/main/LICENSE recorded 2026-09-10

  Apache License Version 2.0 body, matching the license the GitHub API reports for the repository.