RHN+HSG(depth=40)
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
- Ben-Gurion University
- Organisation type
- Academia
- Country
- Israel
- Published
- 23 May 2018
- Authors
- Ron Shoham, Haim Permuter
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
- Epochs
- 300
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
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Benchmark data
- RHN+HSG(depth=40)
Sources
Where this record came from and when it was last checked.
- Reference
- Highway State Gating for Recurrent Highway Networks: improving information flow through time
- Last updated
- 11 February 2026
What the numbers mean
Background
RHN+HSG(depth=40) was published by Ben-Gurion University, in Israel, in May 2018. It comes out of academia.
It works in Language, and is recorded as doing language modeling.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
RHN+HSG(depth=40) — common questions
How many parameters does RHN+HSG(depth=40) have?
No parameter count has been published for RHN+HSG(depth=40), which is why no memory or speed figure appears on this page.
Who created RHN+HSG(depth=40)?
RHN+HSG(depth=40) was published by Ben-Gurion University, based in Israel, categorised as academia.
When was RHN+HSG(depth=40) released?
RHN+HSG(depth=40) was published in May 2018. 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 RHN+HSG(depth=40) used for?
RHN+HSG(depth=40) 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 RHN+HSG(depth=40)?
None. RHN+HSG(depth=40) 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 RHN+HSG(depth=40) open source?
No. RHN+HSG(depth=40) has not had its weights published, so it exists only as a service controlled by its owner.
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.