bpRNA-align

Closed weights Oregon State University May 2023

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
Oregon State University
Organisation type
Academia
Country
United States of America
Published
29 May 2023
Authors
Brittany Lasher, David A Hendrix

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

All structures in a family that fall within a feature pattern were used to determine the MAD of the length of each instance of a feature (e.g., H1, H2, H3, E1, E2, S1, S2, S3), which resulted in a total of 12,857 structures comprising the gap penalty training data set

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
bpRNA-align: improved RNA secondary structure global alignment for comparing and clustering RNA structures
Last updated
28 November 2025

What the numbers mean

Background

bpRNA-align was published by Oregon State University, in the country recorded as United States of America, during May 2023. The category the publisher falls under is academia.

It works in the domain of Biology.

This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.

Answers

bpRNA-align — common questions

01

bpRNA-align— when was it released?

It was published in May 2023. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.

02

bpRNA-align— what is it used for?

It works in the domain of Biology. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.

03

bpRNA-align— what GPU do I need to run it?

None. This 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.

04

bpRNA-align— is it open source?

The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.

05

bpRNA-align— how many parameters does it have?

No parameter count has been published for it, which is why no memory or speed figure appears on this page.

06

bpRNA-align— who created it?

It was published by Oregon State University, based in United States of America, an organisation categorised as academia.

Source

Original publication

Record last updated 28 November 2025

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.