Yuanjing LLM (联通元景大模型)
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
- China Unicom
- Organisation type
- Industry
- Country
- China
- Published
- 24 April 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Question answering, Language modeling/generation, Data analytics, Face recognition
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
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- Huawei Ascend
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.
- Reference
- CAC registry
- Last updated
- 11 February 2026
What the numbers mean
What this model is
Yuanjing LLM (联通元景大模型) was published by China Unicom, in the country recorded as China, during April 2024. The category the publisher falls under is industry.
It works in the domain of Language, and is recorded as performing the task of question answering, Language modeling/generation, Data analytics, Face recognition.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Yuanjing LLM (联通元景大模型) — common questions
Yuanjing LLM (联通元景大模型)— what is it used for?
It works in the domain of Language, and is recorded as handling the task of question answering, Language modeling/generation, Data analytics, Face recognition. 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.
Yuanjing LLM (联通元景大模型)— 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.
Yuanjing LLM (联通元景大模型)— 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.
Yuanjing LLM (联通元景大模型)— 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.
Yuanjing LLM (联通元景大模型)— who created it?
It was published by China Unicom, based in China, an organisation categorised as industry.
Yuanjing LLM (联通元景大模型)— when was it released?
It was published in April 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.
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.