Tianxi-72B
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
- Lenovo
- Organisation type
- Industry
- Country
- China
- Published
- 9 May 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Multimodal, Speech, Vision
- Task
- Language modeling/generation, Question answering, System control, Retrieval-augmented generation, Visual question answering, Speech recognition (ASR)
- Base model
- Qwen2.5-72B
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
- 72B
- Training data
- tokens
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.
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Tianxi-72B was published by Lenovo, in China, in May 2025. It comes out of industry.
It works in Language, Multimodal, Speech, Vision, and is recorded as doing language modeling/generation, Question answering, System control, Retrieval-augmented generation, Visual question answering, Speech recognition (ASR).
It is derived from Qwen2.5-72B rather than trained from scratch, which is the usual way a specialised model is produced.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
Tianxi-72B — common questions
How many parameters does Tianxi-72B have?
Tianxi-72B has 72B parameters. 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 Tianxi-72B?
Tianxi-72B was published by Lenovo, based in China, categorised as industry.
When was Tianxi-72B released?
Tianxi-72B was published in May 2025.
What is Tianxi-72B used for?
Tianxi-72B works in Language, Multimodal, Speech, Vision, and is recorded as handling language modeling/generation, Question answering, System control, Retrieval-augmented generation, Visual question answering, Speech recognition (ASR). These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Tianxi-72B?
None. Tianxi-72B 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 Tianxi-72B open source?
No. Tianxi-72B has not had its weights published, so it exists only as a service controlled by its owner.
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.