MegaSyn
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
- Collaborations Pharmaceuticals
- Organisation type
- Industry
- Country
- United States of America
- Published
- 7 March 2022
- Authors
- Fabio Urbina, Filippa Lentzos, Cédric Invernizzi, Sean Ekins
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Medicine
- Task
- Drug discovery
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
- Hosted access (no API)
- Training code
- Unreleased
"We can use MegaSyn in fee for service work for you. We can provide an annual license for you to access this software on your own server. We provide maintenance and customization options." https://www.collaborationspharma.com/megasyn
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- Historical significance
- Record confidence
- Unknown
- Citations
- 148
Notable example of an AI model having a potential dual use for bio/chemical weapons: "To narrow the universe of molecules we chose to drive the generative model towards compounds like the nerve agent VX, one of the most toxic chemical warfare agents developed during the 20th century—a few salt-sized grains of VX, (6–10 mg)5, is sufficient to kill a person. Nerve agents such as Novichoks have also been in the headlines recently6. In less than 6 hours after starting on our in-house server, our m…
Sources
Where this record came from and when it was last checked.
- Reference
- Dual Use of Artificial Intelligence-powered Drug Discovery
- Last updated
- 28 November 2025
What the numbers mean
About this model
MegaSyn was published by Collaborations Pharmaceuticals, in United States of America, in March 2022. The organisation is categorised as industry.
It works in Medicine, and is recorded as doing drug discovery.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
What went into building it
Its inclusion criterion is historical significance.
Answers
MegaSyn — common questions
Is MegaSyn open source?
No. MegaSyn has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does MegaSyn have?
No parameter count has been published for MegaSyn, which is why no memory or speed figure appears on this page.
Who created MegaSyn?
MegaSyn was published by Collaborations Pharmaceuticals, based in United States of America, categorised as industry.
When was MegaSyn released?
MegaSyn was published in March 2022. 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 MegaSyn used for?
MegaSyn works in Medicine, and is recorded as handling drug discovery. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run MegaSyn?
None. MegaSyn 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.
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.