Yiye Qingzhou
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
- EFFYIC (识因智能)
- Organisation type
- Industry
- Country
- China
- Published
- 1 April 2023
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Vision, Speech, Video
- Task
- Language modeling/generation, Question answering, Visual question answering, Speech recognition (ASR), Video description
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
- 540B
- Training data
- tokens
540B
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.
- Training code
- Unreleased
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
- 36氪首发 | 专注企业级大模型落地，「识因智能」完成数千万元首轮融资
- Last updated
- 28 November 2025
What the numbers mean
Background
Yiye Qingzhou was published by EFFYIC (识因智能), in the country recorded as China, during April 2023. The category the publisher falls under is industry.
It works in the domain of Multimodal, Language, Vision, Speech, Video, and is recorded as performing the task of language modeling/generation, Question answering, Visual question answering, Speech recognition (ASR), Video description.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Yiye Qingzhou — common questions
Yiye Qingzhou— how many parameters does it have?
It has a parameter count of 540B. 540B. 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.
Yiye Qingzhou— who created it?
It was published by EFFYIC (识因智能), based in China, an organisation categorised as industry.
Yiye Qingzhou— when was it released?
It was published in April 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.
Yiye Qingzhou— what is it used for?
It works in the domain of Multimodal, Language, Vision, Speech, Video, and is recorded as handling the task of language modeling/generation, Question answering, Visual question answering, Speech recognition (ASR), Video description. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
Yiye Qingzhou— 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.
Yiye Qingzhou— 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.
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.