JURA Bio Model
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
- JURA Bio,New York University (NYU),Harvard Medical School,Columbia University
- Organisation type
- Industry,Academia,Academia,Academia
- Country
- United States of America
- Published
- 13 September 2024
- Authors
- Eli N. Weinstein, Mattia G. Gollub, Andrei Slabodkin, Cameron L. Gardner, Kerry Dobbs, Xiao-Bing Cui, Alan N. Amin, George M. Church
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein generation, Proteins, Protein or nucleotide language model (pLM/nLM)
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
- 4,395,000,000 tokens
293,000,000 sequences * 15 tokens/sequence = 4,395,000,000 tokens (~4.4 billion tokens) Derived from: Observed Antibody Space database with 325,596,608 sequences, 90% training split (293M), avg sequence length 15 amino acids.
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Manufacturing-Aware Generative Model Architectures Enable Biological Sequence Design and Synthesis at Petascale
- Last updated
- 28 November 2025
What the numbers mean
About this model
JURA Bio Model was published by JURA Bio,New York University (NYU),Harvard Medical School,Columbia University, in United States of America, in September 2024. It comes out of industry,Academia,Academia,Academia.
It works in Biology, and is recorded as doing protein generation, Proteins, Protein or nucleotide language model (pLM/nLM).
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
How it was trained
Around 4,395,000,000 tokens went into training it.
Answers
JURA Bio Model — common questions
Is JURA Bio Model open source?
The licensing for JURA Bio Model 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 JURA Bio Model have?
No parameter count has been published for JURA Bio Model, which is why no memory or speed figure appears on this page.
Who created JURA Bio Model?
JURA Bio Model was published by JURA Bio,New York University (NYU),Harvard Medical School,Columbia University, based in United States of America, categorised as industry,Academia,Academia,Academia.
When was JURA Bio Model released?
JURA Bio Model was published in September 2024. 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 JURA Bio Model used for?
JURA Bio Model works in Biology, and is recorded as handling protein generation, Proteins, Protein or nucleotide language model (pLM/nLM). Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run JURA Bio Model?
None. JURA Bio Model 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.