Yiye Qingzhou-0.7B
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
- 15 January 2024
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
- 700M
- Training data
- tokens
0.7B
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.
- Weights
- Closed — provider access only
- Model access
- Hosted access (no API)
- 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
What this model is
Yiye Qingzhou-0.7B was published by EFFYIC (识因智能), in China, in January 2024. It comes out of industry.
It works in Multimodal, Language, Vision, Speech, Video, and is recorded as doing language modeling/generation, Question answering, Visual question answering, Speech recognition (ASR), Video description.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
Yiye Qingzhou-0.7B — common questions
When was Yiye Qingzhou-0.7B released?
Yiye Qingzhou-0.7B was published in January 2024. 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 Yiye Qingzhou-0.7B used for?
Yiye Qingzhou-0.7B works in Multimodal, Language, Vision, Speech, Video, and is recorded as handling language modeling/generation, Question answering, Visual question answering, Speech recognition (ASR), Video description. 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 Yiye Qingzhou-0.7B?
None. Yiye Qingzhou-0.7B 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 Yiye Qingzhou-0.7B open source?
No. Yiye Qingzhou-0.7B has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Yiye Qingzhou-0.7B have?
Yiye Qingzhou-0.7B has 700M parameters. 0.7B. 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 Yiye Qingzhou-0.7B?
Yiye Qingzhou-0.7B was published by EFFYIC (识因智能), 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.