Wide & Deep
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
- Organisation type
- Industry
- Country
- United States of America
- Published
- 24 June 2016
- Authors
- HT Cheng, L Koc, J Harmsen, T Shaked
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Recommendation
- Task
- Recommender system
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
- 500,000,000,000 tokens
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
- 4,114
Sources
Where this record came from and when it was last checked.
- Reference
- Wide & Deep Learning for Recommender Systems
- Last updated
- 25 May 2026
What the numbers mean
Where it came from
Wide & Deep was published by Google, in United States of America, in June 2016. It comes out of industry.
It works in Recommendation, and is recorded as doing recommender system.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Training and provenance
Around 500,000,000,000 tokens went into training it.
Answers
Wide & Deep — common questions
When was Wide & Deep released?
Wide & Deep was published in June 2016. 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 Wide & Deep used for?
Wide & Deep works in Recommendation, and is recorded as handling recommender system. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Wide & Deep?
None. Wide & Deep 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 Wide & Deep open source?
The licensing for Wide & Deep 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 Wide & Deep have?
No parameter count has been published for Wide & Deep, which is why no memory or speed figure appears on this page.
Who created Wide & Deep?
Wide & Deep was published by Google, based in United States of America, categorised as industry.
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.