DIABETES
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
- Aalborg University,University of London
- Organisation type
- Academia,Academia
- Country
- Denmark, United Kingdom of Great Britain and Northern Ireland
- Published
- 24 June 1991
- Authors
- S. Andreassen, R. Hovorka, J. Benn, K. G. Olesen, and E. R. Carson
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Medicine
- Task
- Medical diagnosis
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.
- Parameters
- 429.4K
- Training data
- tokens
From https://www.bnlearn.com/bnrepository/
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Citations
- 132
Sources
Where this record came from and when it was last checked.
- Reference
- A Model-based Approach to Insulin Adjustment
- Last updated
- 28 November 2025
What the numbers mean
About this model
DIABETES was published by Aalborg University,University of London, in the country recorded as Denmark, during June 1991. It comes out of an organisation categorised as academia,Academia.
It works in the domain of Medicine, and is recorded as performing the task of medical diagnosis.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
DIABETES — common questions
DIABETES— 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.
DIABETES— how many parameters does it have?
It has a parameter count of 429.4K. From https://www.bnlearn.com/bnrepository/. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
DIABETES— who created it?
It was published by Aalborg University,University of London, based in Denmark, an organisation categorised as academia,Academia.
DIABETES— when was it released?
It was published in June 1991. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
DIABETES— what is it used for?
It works in the domain of Medicine, and is recorded as handling the task of medical diagnosis. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
DIABETES— 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.
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.