NTM
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
- 10 December 2014
- Authors
- Alex Graves, Greg Wayne, Ivo Danihelka
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Other, Language
- Task
- Sequence memorization
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
- 10,000,000 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
- 2,536
Sources
Where this record came from and when it was last checked.
- Reference
- Neural Turing Machines
- Last updated
- 25 May 2026
What the numbers mean
What this model is
NTM was published by Google DeepMind, in United States of America, in December 2014. It comes out of industry.
It works in Other, Language, and is recorded as doing sequence memorization.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
What went into building it
It was trained on about 10,000,000 tokens of text.
Answers
NTM — common questions
When was NTM released?
NTM was published in December 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 NTM used for?
NTM works in Other, Language, and is recorded as handling sequence memorization. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run NTM?
None. NTM 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 NTM open source?
The licensing for NTM 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 NTM have?
No parameter count has been published for NTM, which is why no memory or speed figure appears on this page.
Who created NTM?
NTM was published by Google DeepMind, 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.