Immediate trihead
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
- Brown University
- Organisation type
- Academia
- Country
- United States of America
- Published
- 6 July 2001
- Authors
- Eugene Charniak
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language 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
- tokens
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
- SOTA improvement
- Record confidence
- Unknown
- Citations
- 422
"The perplexity for both of these models significantly improve upon the trigram model base-line as well as the best previous grammar based language model" I don't see any standard benchmark that they claim SOTA on
Sources
Where this record came from and when it was last checked.
- Reference
- Immediate-Head Parsing for Language Models
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Immediate trihead was published by Brown University, in the country recorded as United States of America, during July 2001. The category the publisher falls under is academia.
It works in the domain of Language, and is recorded as performing the task of language modeling.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Training and provenance
It is tracked in the underlying dataset for one reason in particular: sOTA improvement.
Answers
Immediate trihead — common questions
Immediate trihead— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
Immediate trihead— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
Immediate trihead— who created it?
It was published by Brown University, based in United States of America, an organisation categorised as academia.
Immediate trihead— when was it released?
It was published in July 2001. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Immediate trihead— what is it used for?
It works in the domain of Language, and is recorded as handling the task of language modeling. 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.
Immediate trihead— what GPU do I need to run it?
None. This 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.
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.