SenseChat-Vision V4
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
- SenseTime
- Organisation type
- Industry
- Country
- Hong Kong
- Published
- 6 February 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision, Multimodal, Language
- Task
- Self-driving car, Visual question answering, Face recognition, Language modeling/generation, Image captioning
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
- 30B
- Training data
- tokens
30B
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
- Training code
- Unreleased
API: https://platform.sensenova.cn/
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
- SenseTime Unveils SenseNova 4.0, Bringing Novel AI experience
- Last updated
- 28 November 2025
What the numbers mean
Background
SenseChat-Vision V4 was published by SenseTime, in the country recorded as Hong Kong, during February 2024. It comes out of an organisation categorised as industry.
It works in the domain of Vision, Multimodal, Language, and is recorded as performing the task of self-driving car, Visual question answering, Face recognition, Language modeling/generation, Image captioning.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
SenseChat-Vision V4 — common questions
SenseChat-Vision V4— how many parameters does it have?
It has a parameter count of 30B. 30B. 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.
SenseChat-Vision V4— who created it?
It was published by SenseTime, based in Hong Kong, an organisation categorised as industry.
SenseChat-Vision V4— when was it released?
It was published in February 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.
SenseChat-Vision V4— what is it used for?
It works in the domain of Vision, Multimodal, Language, and is recorded as handling the task of self-driving car, Visual question answering, Face recognition, Language modeling/generation, Image captioning. 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.
SenseChat-Vision V4— 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.
SenseChat-Vision V4— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
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.