SemVec
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
- Microsoft Research
- Organisation type
- Industry
- Country
- United States of America
- Published
- 9 June 2013
- Authors
- T Mikolov, W Yih, G Zweig
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language Structure 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
- 320,000,000 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
- 3,845
Sources
Where this record came from and when it was last checked.
- Reference
- Linguistic Regularities in Continuous Space Word Representations
- Last updated
- 1 January 2026
What the numbers mean
What this model is
SemVec was published by Microsoft Research, in United States of America, in June 2013. industry is the category the publisher falls under.
It works in Language, and is recorded as doing language Structure Modeling.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
How it was trained
It was trained on about 320,000,000 tokens of text.
Answers
SemVec — common questions
How many parameters does SemVec have?
No parameter count has been published for SemVec, which is why no memory or speed figure appears on this page.
Who created SemVec?
SemVec was published by Microsoft Research, based in United States of America, categorised as industry.
When was SemVec released?
SemVec was published in June 2013. 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 SemVec used for?
SemVec works in Language, and is recorded as handling language Structure Modeling. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run SemVec?
None. SemVec 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 SemVec open source?
The licensing for SemVec 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.