Bencao Zhiku
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
- Chengdu University of Traditional Chinese Medicine
- Organisation type
- Academia
- Country
- China
- Published
- 12 April 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation, Question answering
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
- 1B
- Training data
- tokens
multi-billion (putting billion, then speculative)
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
- Unreleased
- 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
- Speculative
Sources
Where this record came from and when it was last checked.
- Reference
- 我国发布全球首个中药全产业链大模型
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Bencao Zhiku was published by Chengdu University of Traditional Chinese Medicine, in China, in April 2024. It comes out of academia.
It works in Language, and is recorded as doing language modeling/generation, Question answering.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Bencao Zhiku — common questions
Who created Bencao Zhiku?
Bencao Zhiku was published by Chengdu University of Traditional Chinese Medicine, based in China, categorised as academia.
When was Bencao Zhiku released?
Bencao Zhiku 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.
What is Bencao Zhiku used for?
Bencao Zhiku works in Language, and is recorded as handling language modeling/generation, Question answering. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Bencao Zhiku?
None. Bencao Zhiku 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 Bencao Zhiku open source?
No. Bencao Zhiku has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Bencao Zhiku have?
Bencao Zhiku has 1B parameters. multi-billion (putting billion, then speculative). 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.
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.