TranscriptFormer
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
- Chan Zuckerberg Initiative
- Organisation type
- Research collective
- Country
- United States of America
- Published
- 30 April 2025
- Authors
- Theofanis Karaletsos, TranscriptFormer team
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
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
Sources
Where this record came from and when it was last checked.
- Reference
- TranscriptFormer: A Generative Cross-Species Cell Atlas Across 1.5 Billion Years of Evolution
- Last updated
- 28 November 2025
What the numbers mean
What this model is
TranscriptFormer was published by Chan Zuckerberg Initiative, in United States of America, in April 2025. The organisation is categorised as research collective.
It works in Biology.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
TranscriptFormer — common questions
Who created TranscriptFormer?
TranscriptFormer was published by Chan Zuckerberg Initiative, based in United States of America, categorised as research collective.
When was TranscriptFormer released?
TranscriptFormer was published in April 2025.
What is TranscriptFormer used for?
TranscriptFormer works in Biology. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run TranscriptFormer?
None. TranscriptFormer 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 TranscriptFormer open source?
The licensing for TranscriptFormer 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 TranscriptFormer have?
No parameter count has been published for TranscriptFormer, which is why no memory or speed figure appears on this page.
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.