Zhiye LLM (浪潮知业大模型)

Closed weights Inspur August 2024

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 China, in August 2024. The organisation is categorised as industry.

It works in Multimodal, Language, Vision, Video, and is recorded as doing 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

01

How many parameters does Zhiye LLM (浪潮知业大模型) have?

No parameter count has been published for Zhiye LLM (浪潮知业大模型), which is why no memory or speed figure appears on this page.

02

Who created Zhiye LLM (浪潮知业大模型)?

Zhiye LLM (浪潮知业大模型) was published by Inspur, based in China, categorised as industry.

03

When was Zhiye LLM (浪潮知业大模型) released?

Zhiye LLM (浪潮知业大模型) 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.

04

What is Zhiye LLM (浪潮知业大模型) used for?

Zhiye LLM (浪潮知业大模型) works in Multimodal, Language, Vision, Video, and is recorded as handling 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.

05

What GPU do I need to run Zhiye LLM (浪潮知业大模型)?

None. Zhiye LLM (浪潮知业大模型) 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.

06

Is Zhiye LLM (浪潮知业大模型) open source?

The licensing for Zhiye LLM (浪潮知业大模型) was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.

Source

Original publication

Record last updated 11 February 2026

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.