MindLink-32B
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
- Kunlun Inc.
- Organisation type
- Industry
- Country
- China
- Published
- 1 August 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Code generation, Mathematical reasoning
- Base model
- Qwen3-32B
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
- 32B
- Training data
- tokens
32B
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
- NVIDIA A800 PCIe 80 GB
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.
- Reference
- MindLink: Adaptive Multi-step Planning for Large Language Models
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
MindLink-32B was published by Kunlun Inc., in China, in August 2025. The organisation is categorised as industry.
It works in Language, and is recorded as doing code generation, Mathematical reasoning.
It is derived from Qwen3-32B 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
MindLink-32B — common questions
Who created MindLink-32B?
MindLink-32B was published by Kunlun Inc., based in China, categorised as industry.
When was MindLink-32B released?
MindLink-32B was published in August 2025.
What is MindLink-32B used for?
MindLink-32B works in Language, and is recorded as handling code generation, Mathematical reasoning. 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.
What GPU do I need to run MindLink-32B?
None. MindLink-32B 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 MindLink-32B open source?
The licensing for MindLink-32B was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does MindLink-32B have?
MindLink-32B has 32B parameters. 32B. 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.