Playground v3
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
- Playground
- Organisation type
- Industry
- Country
- United States of America
- Published
- 16 September 2024
- Authors
- Bingchen Liu, Ehsan Akhgari, Alexander Visheratin, Aleks Kamko, Linmiao Xu, Shivam Shrirao, Chase Lambert, Joao Souza, Suhail Doshi, Daiqing Li
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Text-to-image, Image generation
- Base model
- Llama 3-8B
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
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Likely above 10²³ FLOP
- Yes
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models
- Last updated
- 28 November 2025
What the numbers mean
About this model
Playground v3 was published by Playground, in United States of America, in September 2024. industry is the category the publisher falls under.
It works in Image generation, and is recorded as doing text-to-image, Image generation.
It builds on Llama 3-8B, which is why it shares that model's general shape and size.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Playground v3 — common questions
Who created Playground v3?
Playground v3 was published by Playground, based in United States of America, categorised as industry.
When was Playground v3 released?
Playground v3 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.
What is Playground v3 used for?
Playground v3 works in Image generation, and is recorded as handling text-to-image, Image generation. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Playground v3?
None. Playground v3 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 Playground v3 open source?
No. Playground v3 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Playground v3 have?
No parameter count has been published for Playground v3, which is why no memory or speed figure appears on this page.
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.