TripletRes
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 Michigan
- Organisation type
- Academia
- Country
- United States of America
- Published
- 13 August 2019
- Authors
- Yang Li, Chengxin Zhang, Eric W. Bell, Dong-Jun Yu, Yang Zhang
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Proteins, Protein folding prediction
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
- Epochs
- 50
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
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
- Ensembling multiple raw coevolutionary features with deep residual neural networks for contact-map prediction in CASP13
- Last updated
- 28 November 2025
What the numbers mean
Background
TripletRes was published by University of Michigan, in United States of America, in August 2019. academia is the category the publisher falls under.
It works in Biology, and is recorded as doing proteins, Protein folding prediction.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
TripletRes — common questions
How many parameters does TripletRes have?
No parameter count has been published for TripletRes, which is why no memory or speed figure appears on this page.
Who created TripletRes?
TripletRes was published by University of Michigan, based in United States of America, categorised as academia.
When was TripletRes released?
TripletRes was published in August 2019. 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 TripletRes used for?
TripletRes works in Biology, and is recorded as handling proteins, Protein folding prediction. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run TripletRes?
None. TripletRes 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 TripletRes open source?
No. TripletRes has not had its weights published, so it exists only as a service controlled by its owner.
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.