EvoMIL
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 Glasgow,Cancer Research UK Beatson Institute
- Organisation type
- Academia
- Country
- United Kingdom of Great Britain and Northern Ireland
- Published
- 8 April 2023
- Authors
- Dan Liu, Francesca Young, David L Robertson, Ke Yuan
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Virus-host association prediction
- Base model
- ESM1b
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
- 10,000 tokens
"we collected 4696 associations 412 between 4696 viruses and 498 prokaryotic hosts at the species level; 9595 positive 413 associations from 9595 viruses and 1665 eukaryotic hosts at the species level. "
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Citations
- 2
Sources
Where this record came from and when it was last checked.
- Reference
- Prediction of virus-host association using protein language models and multiple instance learning
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
EvoMIL was published by University of Glasgow,Cancer Research UK Beatson Institute, in the country recorded as United Kingdom of Great Britain and Northern Ireland, during April 2023. It comes out of an organisation categorised as academia.
It works in the domain of Biology, and is recorded as performing the task of virus-host association prediction.
Its starting point was an existing base model, ESM1b. That is why it shares the base model's general shape and size.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Training and provenance
The training set ran to roughly 10,000 tokens of text.
Answers
EvoMIL — common questions
EvoMIL— when was it released?
It was published in April 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.
EvoMIL— what is it used for?
It works in the domain of Biology, and is recorded as handling the task of virus-host association prediction. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
EvoMIL— 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.
EvoMIL— 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.
EvoMIL— 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.
EvoMIL— who created it?
It was published by University of Glasgow,Cancer Research UK Beatson Institute, based in United Kingdom of Great Britain and Northern Ireland, an organisation categorised as academia.
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.