HaloClass
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 California Davis,Pt. Jawahar Lal Nehru Memorial Medical College,Purdue University
- Organisation type
- Academia,Academia
- Country
- United States of America, India
- Published
- 10 October 2024
- Authors
- Kush Narang, Abhigyan Nath, William Hemstrom, Simon K. S. Chu
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein classification
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
- 25,227 tokens
Initial sequences: 38,361 After clustering: 28,030 Training split (90%): 28,030 × 0.9 = 25,227 sequences Classification where each sequence provides one binary classification target.
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
- HaloClass: Salt-Tolerant Protein Classification with Protein Language Models
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
HaloClass was published by University of California Davis,Pt. Jawahar Lal Nehru Memorial Medical College,Purdue University, in United States of America, in October 2024. It comes out of academia,Academia.
It works in Biology, and is recorded as doing protein classification.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Training and provenance
It was trained on about 25,227 tokens of text.
Answers
HaloClass — common questions
What GPU do I need to run HaloClass?
None. HaloClass 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 HaloClass open source?
The licensing for HaloClass 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 HaloClass have?
No parameter count has been published for HaloClass, which is why no memory or speed figure appears on this page.
Who created HaloClass?
HaloClass was published by University of California Davis,Pt. Jawahar Lal Nehru Memorial Medical College,Purdue University, based in United States of America, categorised as academia,Academia.
When was HaloClass released?
HaloClass was published in October 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 HaloClass used for?
HaloClass works in Biology, and is recorded as handling protein classification. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
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.