DDGemb
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 Bologna
- Organisation type
- Academia
- Country
- Italy
- Published
- 7 September 2024
- Authors
- Castrense Savojardo, Matteo Manfredi, Pier Luigi Martelli, Rita Casadio
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Mutation prediction, Protein stability 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
- 4,900 tokens
- Epochs
- 500
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- AMD EPYC 7413
- Chips used
- 2
- Power draw
- 709 W
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
- DDGemb: predicting protein stability change upon single- and multi-point variations with embeddings and deep learning
- Last updated
- 28 November 2025
What the numbers mean
What this model is
DDGemb was published by University of Bologna, in Italy, in September 2024. academia is the category the publisher falls under.
It works in Biology, and is recorded as doing mutation prediction, Protein stability prediction.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
What went into building it
Around 4,900 tokens went into training it.
Answers
DDGemb — common questions
How many parameters does DDGemb have?
No parameter count has been published for DDGemb, which is why no memory or speed figure appears on this page.
Who created DDGemb?
DDGemb was published by University of Bologna, based in Italy, categorised as academia.
When was DDGemb released?
DDGemb was published in September 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 DDGemb used for?
DDGemb works in Biology, and is recorded as handling mutation prediction, Protein stability 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.
What GPU do I need to run DDGemb?
None. DDGemb 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 DDGemb open source?
The licensing for DDGemb was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
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.