Graph-based structural reasoning
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
- Massachusetts Institute of Technology (MIT)
- Organisation type
- Academia
- Country
- United States of America
- Published
- 1 September 1970
- Authors
- Patrick Winston
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision
- Task
- Image classification
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
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
- 1,805
Sources
Where this record came from and when it was last checked.
- Reference
- Learning Structural Definitions from Examples
- Last updated
- 28 November 2025
What the numbers mean
Background
Graph-based structural reasoning was published by Massachusetts Institute of Technology (MIT), in United States of America, in September 1970. academia is the category the publisher falls under.
It works in Vision, and is recorded as doing image classification.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Graph-based structural reasoning — common questions
What GPU do I need to run Graph-based structural reasoning?
None. Graph-based structural reasoning 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 Graph-based structural reasoning open source?
The licensing for Graph-based structural reasoning 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 Graph-based structural reasoning have?
No parameter count has been published for Graph-based structural reasoning, which is why no memory or speed figure appears on this page.
Who created Graph-based structural reasoning?
Graph-based structural reasoning was published by Massachusetts Institute of Technology (MIT), based in United States of America, categorised as academia.
When was Graph-based structural reasoning released?
Graph-based structural reasoning was published in September 1970. 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 Graph-based structural reasoning used for?
Graph-based structural reasoning works in Vision, and is recorded as handling image classification. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
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.