CXR Foundation
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
- Organisation type
- Industry
- Country
- United States of America
- Published
- 2 August 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision, Medicine
- Task
- Image embedding, Image classification
- Base model
- EfficientNet-L2
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
- Open — downloadable
- Model access
- Open weights (restricted use)
- Hugging Face
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
- CXR Foundation model card
- Last updated
- 28 November 2025
What the numbers mean
Background
CXR Foundation was published by Google, in United States of America, in August 2024. The organisation is categorised as industry.
It works in Vision, Medicine, and is recorded as doing image embedding, Image classification.
It builds on EfficientNet-L2, which is why it shares that model's general shape and size.
Published weights mean the model runs on your machine rather than someone else's, which is what makes the hardware question below answerable at all. It is published under the google organisation on Hugging Face.
Answers
CXR Foundation — common questions
What GPU do I need to run CXR Foundation?
We cannot say. CXR Foundation 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.
Is CXR Foundation open source?
Its weights are published, so CXR Foundation 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.
How many parameters does CXR Foundation have?
No parameter count has been published for CXR Foundation, which is why no memory or speed figure appears on this page.
Who created CXR Foundation?
CXR Foundation was published by Google, based in United States of America, categorised as industry.
When was CXR Foundation released?
CXR Foundation was published in August 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 CXR Foundation used for?
CXR Foundation works in Vision, Medicine, and is recorded as handling image embedding, Image classification. 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.
Where can I download CXR Foundation?
Its weights are published under the google organisation on Hugging Face. We do not host model files — this site calculates what hardware is needed to run them.
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.