Mdgen
No estimate
No hardware requirements for this model
This model's weights are open, but no parameter count has been published for it. Every memory and speed figure starts from that number, so we would rather show nothing than a fabricated estimate.
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
- 26 September 2024
- Authors
- Bowen Jing, Hannes Stärk, Tommi Jaakkola, Bonnie Berger
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology, Materials science
- Task
- Molecular simulation
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
"To obtain tetrapeptide MD trajectories for training and evaluation, we run implicit- and explicit solvent, all-atom simulations of ≈3000 training, 100 validation, and 100 test tetrapeptides for 100 ns. For proteins, we use explicit-solvent, all-atom simulations from the ATLAS dataset (Vander Meersche et al., 2024), which provides three 100 ns trajectories for each of 1390 structurally diverse proteins. Unless otherwise specified, models are trained with trajectory timesteps of ∆t = 10 ps . " "…
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
- NVIDIA RTX A6000
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
- Open — downloadable
- Model access
- Open weights (unrestricted)
- Training code
- Open source
MIT license https://github.com/bjing2016/mdgen
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Speculative
- Citations
- 72
Sources
Where this record came from and when it was last checked.
- Reference
- Generative Modeling of Molecular Dynamics Trajectories
- Last updated
- 25 May 2026
What the numbers mean
What this model is
Mdgen was published by Massachusetts Institute of Technology (MIT), in the country recorded as United States of America, during September 2024. It comes out of an organisation categorised as academia.
It works in the domain of Biology, Materials science, and is recorded as performing the task of molecular simulation.
The weights are published, so it can be downloaded and run on your own hardware indefinitely, offline, with no account attached.
Answers
Mdgen — common questions
Mdgen— when was it released?
It 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.
Mdgen— what is it used for?
It works in the domain of Biology, Materials science, and is recorded as handling the task of molecular simulation. These are the areas it was designed around; they describe intent rather than a hard boundary.
Mdgen— where can I download it?
The weights are published, though we do not hold a repository link for it. This site calculates hardware requirements rather than hosting model files.
Mdgen— what GPU do I need to run it?
We cannot say. It has open weights, but no parameter count has been published for it, and every memory and speed calculation starts from that number. We would rather show nothing than a fabricated estimate.
Mdgen— is it open source?
Its weights are published, so it can be downloaded and run on your own hardware. Note that open weights is not the same as open source in the full sense — it says nothing about the training data, the training code, or the commercial terms attached.
Mdgen— 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.
Mdgen— who created it?
It was published by Massachusetts Institute of Technology (MIT), based in United States of America, 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.