GITIII
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
- Yale School of Public Health
- Organisation type
- Academia
- Country
- United States of America
- Published
- 22 August 2024
- Authors
- Xiao Xiao
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Cell-cell interaction 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
- Epochs
- 50
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- NVIDIA RTX A5000
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
- Investigation of pair-wise single-cell interactions by statistically interpreting spatial cell state correlation learned by self-supervised graph inductive bias transformer
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
GITIII was published by Yale School of Public Health, in United States of America, in August 2024. It comes out of academia.
It works in Biology, and is recorded as doing cell-cell interaction prediction.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
GITIII — common questions
Is GITIII open source?
The licensing for GITIII 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 GITIII have?
No parameter count has been published for GITIII, which is why no memory or speed figure appears on this page.
Who created GITIII?
GITIII was published by Yale School of Public Health, based in United States of America, categorised as academia.
When was GITIII released?
GITIII was published in August 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 GITIII used for?
GITIII works in Biology, and is recorded as handling cell-cell interaction prediction. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run GITIII?
None. GITIII 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.