Chemistry42
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
- Insilico Medicine AI
- Organisation type
- Industry
- Country
- Hong Kong
- Published
- 2 February 2023
- Authors
- Yan A. Ivanenkov, Daniil Polykovskiy, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Petrina Kamya, Alex Aliper, Feng Ren, Alex Zhavoronkov
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- 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
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
- Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Chemistry42 was published by Insilico Medicine AI, in Hong Kong, in February 2023. industry is the category the publisher falls under.
It works in Biology, 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.
Answers
Chemistry42 — common questions
How many parameters does Chemistry42 have?
No parameter count has been published for Chemistry42, which is why no memory or speed figure appears on this page.
Who created Chemistry42?
Chemistry42 was published by Insilico Medicine AI, based in Hong Kong, categorised as industry.
When was Chemistry42 released?
Chemistry42 was published in February 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.
What is Chemistry42 used for?
Chemistry42 works in Biology, and is recorded as handling drug discovery. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Chemistry42?
None. Chemistry42 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 Chemistry42 open source?
The licensing for Chemistry42 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.