CryptoGRU
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
- Indiana University Bloomington
- Organisation type
- Academia
- Country
- United States of America
- Published
- 22 October 2020
- Authors
- Bo Feng, Qian Lou, Lei Jiang, Geoffrey C. Fox
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling
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
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Unreleased
repo here, don't think it has PTB code though https://github.com/bfeng/CryptoGRU
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Citations
- 19
- Benchmark data
- CryptoGRU
Sources
Where this record came from and when it was last checked.
- Reference
- CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU
- Last updated
- 25 May 2026
What the numbers mean
About this model
CryptoGRU was published by Indiana University Bloomington, in United States of America, in October 2020. academia is the category the publisher falls under.
It works in Language, and is recorded as doing language modeling.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
CryptoGRU — common questions
Is CryptoGRU open source?
No. CryptoGRU has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does CryptoGRU have?
No parameter count has been published for CryptoGRU, which is why no memory or speed figure appears on this page.
Who created CryptoGRU?
CryptoGRU was published by Indiana University Bloomington, based in United States of America, categorised as academia.
When was CryptoGRU released?
CryptoGRU was published in October 2020. 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 CryptoGRU used for?
CryptoGRU works in Language, and is recorded as handling language modeling. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run CryptoGRU?
None. CryptoGRU 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.