PrePR-CT
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
- King Abdullah University of Science and Technology (KAUST),Karolinska Institute
- Organisation type
- Academia,Academia
- Country
- Saudi Arabia, Sweden
- Published
- 24 July 2024
- Authors
- Reem Alsulami, Robert Lehmann, Sumeer A. Khan, Vincenzo Lagani, David G´omez-Cabrero, Narsis A. Kiani, Jesper Tegner
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Transcriptomic prediction
- Base model
- ChemBERTa
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
- Epochs
- 200
56,668 perturbed samples (Table 2)
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
- PrePR-CT: Predicting Perturbation Responses in Unseen Cell Types Using Cell-Type-Specific Graphs
- Last updated
- 28 November 2025
What the numbers mean
About this model
PrePR-CT was published by King Abdullah University of Science and Technology (KAUST),Karolinska Institute, in the country recorded as Saudi Arabia, during July 2024. The category the publisher falls under is academia,Academia.
It works in the domain of Biology, and is recorded as performing the task of transcriptomic prediction.
Rather than being trained from scratch, it is derived from ChemBERTa. That is the usual way a specialised model is produced.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
PrePR-CT — common questions
PrePR-CT— who created it?
It was published by King Abdullah University of Science and Technology (KAUST),Karolinska Institute, based in Saudi Arabia, an organisation categorised as academia,Academia.
PrePR-CT— when was it released?
It was published in July 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.
PrePR-CT— what is it used for?
It works in the domain of Biology, and is recorded as handling the task of transcriptomic prediction. These are the areas it was designed around; they describe intent rather than a hard boundary.
PrePR-CT— what GPU do I need to run it?
None. This 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.
PrePR-CT— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
PrePR-CT— how many parameters does it have?
No parameter count has been published for it, 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.