GRUs
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
- University of Montreal / Université de Montréal,Jacobs University,University of Maine
- Organisation type
- Academia,Academia,Academia
- Country
- Canada, Germany, United States of America
- Published
- 3 June 2014
- Authors
- Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling, Translation
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.
- Why it is tracked
- Highly cited
- Record confidence
- Unknown
- Citations
- 26,262
Sources
Where this record came from and when it was last checked.
- Reference
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- Last updated
- 25 May 2026
What the numbers mean
What this model is
GRUs was published by University of Montreal / Université de Montréal,Jacobs University,University of Maine, in Canada, in June 2014. It comes out of academia,Academia,Academia.
It works in Language, and is recorded as doing language modeling, Translation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Training and provenance
It is tracked in the underlying dataset for one reason in particular: highly cited.
Answers
GRUs — common questions
When was GRUs released?
GRUs was published in June 2014. 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 GRUs used for?
GRUs works in Language, and is recorded as handling language modeling, Translation. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run GRUs?
None. GRUs 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 GRUs open source?
The licensing for GRUs 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 GRUs have?
No parameter count has been published for GRUs, which is why no memory or speed figure appears on this page.
Who created GRUs?
GRUs was published by University of Montreal / Université de Montréal,Jacobs University,University of Maine, based in Canada, categorised as academia,Academia,Academia.
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.