Draw
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
- Google DeepMind
- Organisation type
- Industry
- Country
- United States of America
- Published
- 20 May 2015
- Authors
- Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Image generation
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
- 673,750,548 tokens
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- DRAW: A Recurrent Neural Network For Image Generation
- Last updated
- 28 November 2025
What the numbers mean
About this model
Draw was published by Google DeepMind, in United States of America, in May 2015. industry is the category the publisher falls under.
It works in Image generation, and is recorded as doing image generation.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
What went into building it
It was trained on about 673,750,548 tokens of text.
Answers
Draw — common questions
How many parameters does Draw have?
No parameter count has been published for Draw, which is why no memory or speed figure appears on this page.
Who created Draw?
Draw was published by Google DeepMind, based in United States of America, categorised as industry.
When was Draw released?
Draw was published in May 2015. 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 Draw used for?
Draw works in Image generation, and is recorded as handling image generation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Draw?
None. Draw 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 Draw open source?
The licensing for Draw was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
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.