MindLink-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
- 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
- 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
72B
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.
- Why it is tracked
- SOTA improvement
- Record confidence
- Confident
Table 4 MindLink achieves superior performance overs SOTA methods in terms of MMLU-Pro and various mathematics and reasoning benchmarks - better performance than DeepSeek R1
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-72B was published by Kunlun Inc., in the country recorded as China, during August 2025. The publishing organisation is categorised as industry.
It works in the domain of Language, and is recorded as performing the task of code generation, Mathematical reasoning.
Its starting point was an existing base model, Qwen2.5-72B. That is why it shares the base model's general shape and size.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Training and provenance
Its inclusion criterion: sOTA improvement.
Answers
MindLink-72B — common questions
MindLink-72B— how many parameters does it have?
It has a parameter count of 72B. 72B. 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.
MindLink-72B— who created it?
It was published by Kunlun Inc., based in China, an organisation categorised as industry.
MindLink-72B— when was it released?
It was published in August 2025.
MindLink-72B— what is it used for?
It works in the domain of Language, and is recorded as handling the task of 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.
MindLink-72B— 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.
MindLink-72B— 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.