SPOT
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
- Heinrich Heine University,Concordia University
- Organisation type
- Academia,Academia
- Country
- Germany, Canada
- Published
- 26 September 2024
- Authors
- Alexander Kroll, Nico Niebuhr, Gregory Butler, Martin J. Lercher
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein function 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
Total datapoints = 8,633 + 24,529 = 33,162 "The sampling process resulted in a final data set consisting of 33,162 data points." Classification model with 1 gradient per datapoint.
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- SPOT: A machine learning model that predicts specific substrates for transport proteins
- Last updated
- 28 November 2025
What the numbers mean
Background
SPOT was published by Heinrich Heine University,Concordia University, in Germany, in September 2024. It comes out of academia,Academia.
It works in Biology, and is recorded as doing protein function prediction.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
SPOT — common questions
Is SPOT open source?
The licensing for SPOT 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 SPOT have?
No parameter count has been published for SPOT, which is why no memory or speed figure appears on this page.
Who created SPOT?
SPOT was published by Heinrich Heine University,Concordia University, based in Germany, categorised as academia,Academia.
When was SPOT released?
SPOT was published in September 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 SPOT used for?
SPOT works in Biology, and is recorded as handling protein function prediction. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run SPOT?
None. SPOT 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.