SPN-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
- Singapore University of Technology & Design,DSO National Laboratories
- Organisation type
- Academia,Government
- Country
- Singapore
- Published
- 1 January 2014
- Authors
- W. Cheng, Stanley Kok, Hoai Vu Pham, Hai Leong Chieu, K. M. A. Chai
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
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Open (non-commercial)
code, no license specified: https://github.com/stakok/lmspn/tree/master/SPNLM
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Benchmark data
- SPN-4
Sources
Where this record came from and when it was last checked.
- Reference
- Language modeling with sum-product networks
- Last updated
- 28 November 2025
What the numbers mean
Background
SPN-4 was published by Singapore University of Technology & Design,DSO National Laboratories, in Singapore, in January 2014. It comes out of academia,Government.
It works in Language, and is recorded as doing language modeling.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
SPN-4 — common questions
Is SPN-4 open source?
No. SPN-4 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does SPN-4 have?
No parameter count has been published for SPN-4, which is why no memory or speed figure appears on this page.
Who created SPN-4?
SPN-4 was published by Singapore University of Technology & Design,DSO National Laboratories, based in Singapore, categorised as academia,Government.
When was SPN-4 released?
SPN-4 was published in January 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 SPN-4 used for?
SPN-4 works in Language, and is recorded as handling 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.
What GPU do I need to run SPN-4?
None. SPN-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.
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.