BPL
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 Toronto,New York University (NYU),Massachusetts Institute of Technology (MIT)
- Organisation type
- Academia,Academia,Academia
- Country
- Canada, United States of America
- Published
- 11 December 2015
- Authors
- BM Lake, R Salakhutdinov, JB Tenenbaum
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Image generation
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
- 3,178
Sources
Where this record came from and when it was last checked.
- Reference
- Human-level concept learning through probabilistic program induction
- Last updated
- 1 January 2026
What the numbers mean
Where it came from
BPL was published by University of Toronto,New York University (NYU),Massachusetts Institute of Technology (MIT), in Canada, in December 2015. It comes out of academia,Academia,Academia.
It works in Image generation, and is recorded as doing image generation.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
BPL — common questions
When was BPL released?
BPL was published in December 2015. 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 BPL used for?
BPL works in Image generation, and is recorded as handling image generation. 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 BPL?
None. BPL 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 BPL open source?
The licensing for BPL 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 BPL have?
No parameter count has been published for BPL, which is why no memory or speed figure appears on this page.
Who created BPL?
BPL was published by University of Toronto,New York University (NYU),Massachusetts Institute of Technology (MIT), based in Canada, categorised as academia,Academia,Academia.
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.