BindCraft
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Ecole Polytechnique F´ed´erale de Lausanne (EPFL),University of Zurich,University of Lausanne,Massachusetts Institute of Technology (MIT),Visterra Inc,Swiss Federal Institute of Technology
- Organisation type
- Academia,Academia,Academia,Academia,Industry,Academia
- Country
- Switzerland, United States of America
- Published
- 1 October 2024
- Authors
- Martin Pacesa, Lennart Nickel, Joseph Schmidt, Ekaterina Pyatova, Christian Schellhaas, Lucas Kissling, Ana Alcaraz-Serna, Yehlin Cho, Kourosh H. Ghamary, Laura Vinué, Brahm J. Yachnin, Andrew M. Wollacott, Stephen Buckley, Sandrine Georgeon, Casper A. Goverde, Georgios N. Hatzopoulos, Pierre Gönczy, Yannick D. Muller, Gerald Schwank, Sergey Ovchinnikov, Bruno E. Correia
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein design
- Base model
- AlphaFold 2
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Open source
The full BindCraft code along with installation instructions and binder design protocols are available on GitHub under MIT license (https://github.com/martinpacesa/BindCraft). A Google Colab notebook for running BindCraft is available at https://github.com/martinpacesa/BindCraft/blob/main/notebooks/BindCraft.ipynb
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- BindCraft: one-shot design of functional protein binders
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
BindCraft was published by Ecole Polytechnique F´ed´erale de Lausanne (EPFL),University of Zurich,University of Lausanne,Massachusetts Institute of Technology (MIT),Visterra Inc,Swiss Federal Institute of Technology, in Switzerland, in October 2024. It comes out of academia,Academia,Academia,Academia,Industry,Academia.
It works in Biology, and is recorded as doing protein design.
It is derived from AlphaFold 2 rather than trained from scratch, which is the usual way a specialised model is produced.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
BindCraft — common questions
Is BindCraft open source?
No. BindCraft has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does BindCraft have?
No parameter count has been published for BindCraft, which is why no memory or speed figure appears on this page.
Who created BindCraft?
BindCraft was published by Ecole Polytechnique F´ed´erale de Lausanne (EPFL),University of Zurich,University of Lausanne,Massachusetts Institute of Technology (MIT),Visterra Inc,Swiss Federal Institute of Technology, based in Switzerland, categorised as academia,Academia,Academia,Academia,Industry,Academia.
When was BindCraft released?
BindCraft was published in October 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is BindCraft used for?
BindCraft works in Biology, and is recorded as handling protein design. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run BindCraft?
None. BindCraft is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.