CongRong (从容大模型)
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
- CloudWalk Technology
- Organisation type
- Industry,Academia
- Country
- China
- Published
- 18 May 2023
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
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
- Unknown
Sources
Where this record came from and when it was last checked.
- Last updated
- 11 February 2026
What the numbers mean
Background
CongRong (从容大模型) was published by CloudWalk Technology, in the country recorded as China, during May 2023. The category the publisher falls under is industry,Academia.
It works in the domain of Language.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
CongRong (从容大模型) — common questions
CongRong (从容大模型)— who created it?
It was published by CloudWalk Technology, based in China, an organisation categorised as industry,Academia.
CongRong (从容大模型)— when was it released?
It was published in May 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.
CongRong (从容大模型)— what is it used for?
It works in the domain of Language. 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.
CongRong (从容大模型)— 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.
CongRong (从容大模型)— 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.
CongRong (从容大模型)— 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.