Xinghan Foundation Model
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
- Dahua Technology
- Organisation type
- Industry
- Country
- China
- Published
- 25 October 2023
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Video, Language, Vision
- Task
- Video description, Visual question answering, Language modeling/generation
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.
- Likely above 10²³ FLOP
- Yes
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Dahua Announces Think# 2.0 Strategy to Accelerate Innovation for a Digital Intelligent Future
- Last updated
- 28 November 2025
What the numbers mean
Background
Xinghan Foundation Model was published by Dahua Technology, in the country recorded as China, during October 2023. The publishing organisation is categorised as industry.
It works in the domain of Multimodal, Video, Language, Vision, and is recorded as performing the task of video description, Visual question answering, Language modeling/generation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Xinghan Foundation Model — common questions
Xinghan Foundation Model— 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.
Xinghan Foundation Model— 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.
Xinghan Foundation Model— who created it?
It was published by Dahua Technology, based in China, an organisation categorised as industry.
Xinghan Foundation Model— when was it released?
It was published in October 2023. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Xinghan Foundation Model— what is it used for?
It works in the domain of Multimodal, Video, Language, Vision, and is recorded as handling the task of video description, Visual question answering, Language modeling/generation. 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.
Xinghan Foundation Model— 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.
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.