Goku+
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
- The University of Hong Kong,ByteDance
- Organisation type
- Academia,Industry
- Country
- Hong Kong, China
- Published
- 7 February 2025
- Authors
- Shoufa Chen, Chongjian Ge, Yuqi Zhang, Yida Zhang, Fengda Zhu, Hao Yang, Hongxiang Hao, Hui Wu, Zhichao Lai, Yifei Hu, Ting-Che Lin, Shilong Zhang, Fu Li, Chuan Li, Xing Wang, Yanghua Peng, Peize Sun, Ping Luo, Yi Jiang, Zehuan Yuan, Bingyue Peng, Xiaobing Liu
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Video, Vision
- Task
- Video generation, Image-to-video, Text-to-video
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
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Video Ads Foundation Models
- Last updated
- 28 November 2025
What the numbers mean
Background
Goku+ was published by The University of Hong Kong,ByteDance, in the country recorded as Hong Kong, during February 2025. The category the publisher falls under is academia,Industry.
It works in the domain of Video, Vision, and is recorded as performing the task of video generation, Image-to-video, Text-to-video.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Goku+ — common questions
Goku+— who created it?
It was published by The University of Hong Kong,ByteDance, based in Hong Kong, an organisation categorised as academia,Industry.
Goku+— when was it released?
It was published in February 2025.
Goku+— what is it used for?
It works in the domain of Video, Vision, and is recorded as handling the task of video generation, Image-to-video, Text-to-video. These are the areas it was designed around; they describe intent rather than a hard boundary.
Goku+— what GPU do I need to run it?
None. This 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.
Goku+— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
Goku+— 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.
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.