Skywork MindLink - Kunlun Wanwei's open-source large-scale inference model

What is Skywork MindLink?

Skywork MindLink is an open-source inference model developed by Kunlun Wanwei. It features an adaptive inference mechanism that flexibly switches inference modes based on task complexity, quickly generating inference for simple tasks and conducting deep inference for complex tasks, balancing efficiency and accuracy. Its plan-driven inference paradigm removes the "think" label, reducing inference costs and enhancing multi-turn dialogue capabilities. It also proposes a novel mathematical analysis method, significantly improving mathematical reasoning performance.

In terms of performance, Skywork MindLink ranked first in the "Last Test for Humanity" benchmark and also topped the charts in four other benchmarks, including USAMO in the mathematics field. Post-training based on Qwen3-32B and Qwen2.5-72B saved significant training costs and improved model capabilities.

Skywork MindLink's main functions

• Adaptive reasoning mechanismIt can intelligently integrate reasoning and non-reasoning generated responses based on the difficulty of the task. Simple tasks generate results quickly, while complex tasks undergo in-depth reasoning to ensure the accuracy and reliability of the output.
• Plan-based ReasoningIt adopts an innovative reasoning paradigm, removes the "think" label, reduces reasoning costs, and improves multi-turn dialogue capabilities.
• A novel mathematical analysis methodIt can effectively analyze the effectiveness of thought chains (CoT) and plan-driven reasoning, thereby improving reasoning skills in the field of mathematics.

The technical principles of Skywork MindLink

• Adaptive reasoning mechanismSkywork MindLink intelligently integrates inference and non-inference generation responses based on task complexity. For simple tasks, the model can quickly generate results; for complex problems, it invokes deeper inference mechanisms to ensure the accuracy and reliability of the output.
• Plan-based ReasoningThe model adopts an innovative reasoning paradigm, removing the traditional "think" label, reducing unnecessary reasoning steps, lowering reasoning costs, and improving the ability to conduct multi-turn dialogues.
• Mathematical reasoning optimizationSkywork MindLink proposes a novel mathematical approach to analyze the effectiveness of Chain of Thought (CoT) and plan-driven reasoning, significantly improving the level of reasoning in the mathematical field.
• Post-training based on existing modelsThe model was post-trained based on Qwen3-32B and Qwen2.5-72B, which further improved the capabilities of the original model while saving a lot of training costs.

Skywork MindLink project address

• Github repository: https://github.com/SkyworkAI/MindLink
• Technical Papers: https://github.com/SkyworkAI/MindLink/blob/main/mindlink.pdf
• HuggingFace model library:
  • MindLink-32B: https://huggingface.co/Skywork/MindLink-32B-0801
  • MindLink-72B: https://huggingface.co/Skywork/MindLink-72B-0801

Application scenarios of Skywork MindLink

• Personalized learningSkywork MindLink can provide personalized learning suggestions and tutoring based on students' learning progress and abilities.
• Intelligent tutoringWhen solving complex problems, the model can reason deeply and provide students with detailed problem-solving ideas and steps.
• Auxiliary diagnosisSkywork MindLink can assist doctors in diagnosing diseases, providing data-driven analysis and recommendations.
• risk assessmentIn the field of financial risk control, Skywork MindLink can efficiently conduct risk assessments, helping financial institutions make more accurate decisions.
• Intelligent Customer ServiceWe respond quickly to customer inquiries, provide accurate answers, and improve customer satisfaction.