IBM Model 4
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
- University of Southern California,IBM,University of Pennsylvania
- Organisation type
- Academia,Industry,Academia
- Country
- United States of America
- Published
- 2 July 1999
- Authors
- Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, Franz-Josef Och, David Purdy, Noah A. Smith, and David Yarowsky
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Translation
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
- 800,000 tokens
[WORDS] See FIgure 6
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- Highly cited,Historical significance
- Citations
- 1,921
Sources
Where this record came from and when it was last checked.
- Reference
- Statistical machine translation
- Last updated
- 28 November 2025
What the numbers mean
What this model is
IBM Model 4 was published by University of Southern California,IBM,University of Pennsylvania, in United States of America, in July 1999. The organisation is categorised as academia,Industry,Academia.
It works in Language, and is recorded as doing translation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
What went into building it
Around 800,000 tokens went into training it.
The reason it appears in this catalogue at all is highly cited,Historical significance.
Answers
IBM Model 4 — common questions
What is IBM Model 4 used for?
IBM Model 4 works in Language, and is recorded as handling translation. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run IBM Model 4?
None. IBM Model 4 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 IBM Model 4 open source?
The licensing for IBM Model 4 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 IBM Model 4 have?
No parameter count has been published for IBM Model 4, which is why no memory or speed figure appears on this page.
Who created IBM Model 4?
IBM Model 4 was published by University of Southern California,IBM,University of Pennsylvania, based in United States of America, categorised as academia,Industry,Academia.
When was IBM Model 4 released?
IBM Model 4 was published in July 1999. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
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.