RIO
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
- West Lake Xinchen / Xinchen AI / 西湖心辰（杭州）科技有限公司
- Organisation type
- Industry
- Country
- China
- Published
- 15 March 2023
- Authors
- Lan Zhenzhong
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation, Question answering, Search
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
"hundreds of billions of parameters"
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Likely
Sources
Where this record came from and when it was last checked.
- Reference
- RIO
- Last updated
- 28 November 2025
What the numbers mean
About this model
RIO was published by West Lake Xinchen / Xinchen AI / 西湖心辰（杭州）科技有限公司, in China, in March 2023. The organisation is categorised as industry.
It works in Language, and is recorded as doing language modeling/generation, Question answering, Search.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
RIO — common questions
When was RIO released?
RIO was published in March 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 RIO used for?
RIO works in Language, and is recorded as handling language modeling/generation, Question answering, Search. 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.
What GPU do I need to run RIO?
None. RIO 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 RIO open source?
The licensing for RIO 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 RIO have?
RIO has 100B parameters. "hundreds of billions of 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 RIO?
RIO was published by West Lake Xinchen / Xinchen AI / 西湖心辰（杭州）科技有限公司, based in China, categorised as industry.
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.