ChatRhino
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
- JD.com
- Organisation type
- Industry
- Country
- China
- Published
- 13 July 2023
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Chat
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
- 100B
- Training data
- tokens
"ChatRhino sets a new benchmark as a 100-billion-parameter model", could be substantially rounded
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
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- JD.com Introduces ChatRhino: Empowering Industry Innovations with an Advanced Large Language Model
- Last updated
- 28 November 2025
What the numbers mean
Background
ChatRhino was published by JD.com, in China, in July 2023. industry is the category the publisher falls under.
It works in Language, and is recorded as doing chat.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
ChatRhino — common questions
Is ChatRhino open source?
The licensing for ChatRhino was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does ChatRhino have?
ChatRhino has 100B parameters. "ChatRhino sets a new benchmark as a 100-billion-parameter model", could be substantially rounded. 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 ChatRhino?
ChatRhino was published by JD.com, based in China, categorised as industry.
When was ChatRhino released?
ChatRhino was published in July 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.
What is ChatRhino used for?
ChatRhino works in Language, and is recorded as handling chat. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run ChatRhino?
None. ChatRhino 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.