Zhiye LLM (浪潮知业大模型)
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
- Inspur
- Organisation type
- Industry
- Country
- China
- Published
- 14 August 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Vision, Video
- Task
- Data analytics, Code generation, Language modeling/generation, Question answering, System control, Instruction interpretation
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
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
Where it came from
Zhiye LLM (浪潮知业大模型) was published by Inspur, in the country recorded as China, during August 2024. The publishing organisation is categorised as industry.
It works in the domain of Multimodal, Language, Vision, Video, and is recorded as performing the task of data analytics, Code generation, Language modeling/generation, Question answering, System control, Instruction interpretation.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
Zhiye LLM (浪潮知业大模型) — common questions
Zhiye LLM (浪潮知业大模型)— 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.
Zhiye LLM (浪潮知业大模型)— who created it?
It was published by Inspur, based in China, an organisation categorised as industry.
Zhiye LLM (浪潮知业大模型)— when was it released?
It was published in August 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.
Zhiye LLM (浪潮知业大模型)— what is it used for?
It works in the domain of Multimodal, Language, Vision, Video, and is recorded as handling the task of data analytics, Code generation, Language modeling/generation, Question answering, System control, Instruction interpretation. These are the areas it was designed around; they describe intent rather than a hard boundary.
Zhiye LLM (浪潮知业大模型)— 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.
Zhiye LLM (浪潮知业大模型)— 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.
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.