CryoDRGN
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
- Massachusetts Institute of Technology (MIT)
- Organisation type
- Academia
- Country
- United States of America
- Published
- 4 February 2021
- Authors
- Ellen D. Zhong, Tristan Bepler, Bonnie Berger, Joseph H. Davis
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Cryo-EM image reconstruction
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
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Open source
GPL-3.0 license https://github.com/ml-struct-bio/cryodrgn
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks
- Last updated
- 28 November 2025
What the numbers mean
Background
CryoDRGN was published by Massachusetts Institute of Technology (MIT), in the country recorded as United States of America, during February 2021. The publishing organisation is categorised as academia.
It works in the domain of Biology, and is recorded as performing the task of cryo-EM image reconstruction.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
CryoDRGN — common questions
CryoDRGN— what is it used for?
It works in the domain of Biology, and is recorded as handling the task of cryo-EM image reconstruction. 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.
CryoDRGN— 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.
CryoDRGN— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
CryoDRGN— 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.
CryoDRGN— who created it?
It was published by Massachusetts Institute of Technology (MIT), based in United States of America, an organisation categorised as academia.
CryoDRGN— when was it released?
It was published in February 2021. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
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.