AF_unmasked
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
- Linköping University,Uppsala University,Stockholm University
- Organisation type
- Academia,Academia,Academia
- Country
- Sweden
- Published
- 9 October 2024
- Authors
- Claudio Mirabello, Björn Wallner, Björn Nystedt, Stavros Azinas, Marta Carroni
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein folding prediction
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
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Citations
- 24
Sources
Where this record came from and when it was last checked.
- Reference
- Unmasking AlphaFold to integrate experiments and predictions in multimeric complexes
- Last updated
- 1 January 2026
What the numbers mean
About this model
AF_unmasked was published by Linköping University,Uppsala University,Stockholm University, in Sweden, in October 2024. The organisation is categorised as academia,Academia,Academia.
It works in Biology, and is recorded as doing protein folding prediction.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
AF_unmasked — common questions
Who created AF_unmasked?
AF_unmasked was published by Linköping University,Uppsala University,Stockholm University, based in Sweden, categorised as academia,Academia,Academia.
When was AF_unmasked released?
AF_unmasked 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 AF_unmasked used for?
AF_unmasked works in Biology, and is recorded as handling protein folding prediction. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run AF_unmasked?
None. AF_unmasked 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.
Is AF_unmasked open source?
The licensing for AF_unmasked was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does AF_unmasked have?
No parameter count has been published for AF_unmasked, which is why no memory or speed figure appears on this page.
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.