CLAPE-DB

Closed weights Tsinghua University January 2024

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
Tsinghua University
Organisation type
Academia
Country
China
Published
3 January 2024
Authors
Yufan Liu, Boxue Tian

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Biology
Task
Protein nucleotide interaction 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
314,139 tokens

Dataset1 TR646 residues: 314,139 Dataset2 TR573 residues: 159,883 314,139 + 159,883 = 474,022 total residues Final data points = 474,022

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
Protein–DNA binding sites prediction based on pre-trained protein language model and contrastive learning
Last updated
28 November 2025

What the numbers mean

Where it came from

CLAPE-DB was published by Tsinghua University, in the country recorded as China, during January 2024. The category the publisher falls under is academia.

It works in the domain of Biology, and is recorded as performing the task of protein nucleotide interaction prediction.

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

Training and provenance

It was trained on a corpus of about 314,139 tokens of text.

Answers

CLAPE-DB — common questions

01

CLAPE-DB— 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.

02

CLAPE-DB— who created it?

It was published by Tsinghua University, based in China, an organisation categorised as academia.

03

CLAPE-DB— when was it released?

It was published in January 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.

04

CLAPE-DB— what is it used for?

It works in the domain of Biology, and is recorded as handling the task of protein nucleotide interaction prediction. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.

05

CLAPE-DB— 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.

06

CLAPE-DB— 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.

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.