KwooVa
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
- Harbin Institute of Technology
- Organisation type
- Academia
- Country
- China
- Published
- 2 November 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision
- Task
- Data analytics, Miscellaneous image analysis
- Base model
- MiniCPM-V 2.6
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.
- Parameters
- 8B
- 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
- API access
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
- HIT-Kwoo / KwooVa
- Last updated
- 28 November 2025
What the numbers mean
What this model is
KwooVa was published by Harbin Institute of Technology, in China, in November 2024. The organisation is categorised as academia.
It works in Vision, and is recorded as doing data analytics, Miscellaneous image analysis.
It builds on MiniCPM-V 2.6, 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
KwooVa — common questions
What GPU do I need to run KwooVa?
None. KwooVa 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 KwooVa open source?
No. KwooVa has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does KwooVa have?
KwooVa has 8B parameters. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Who created KwooVa?
KwooVa was published by Harbin Institute of Technology, based in China, categorised as academia.
When was KwooVa released?
KwooVa was published in November 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 KwooVa used for?
KwooVa works in Vision, and is recorded as handling data analytics, Miscellaneous image analysis. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
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.