What is Skywork MindLink
Skywork MindLink is an open-source reasoning large model launched by Kunlun Wanweiopen-source reasoning large model. It features an adaptive reasoning mechanism that can flexibly switch reasoning modes based on task complexity, quickly generating results for simple tasks and performing deep reasoning for complex tasks, balancing efficiency and accuracy. The plan-based reasoning paradigm removes the "think" tag, reducing reasoning costs and improving multi-turn dialogue capabilities. A new mathematical analysis method is proposed, significantly improving mathematical reasoning performance.
In terms of performance, Skywork MindLink ranked first in the "Humanity's Last Exam" evaluation and also topped four evaluations including USAMO in the mathematics field. It is post-trained based on Qwen3-32B and Qwen2.5-72B, saving a large amount of training costs and improving model capabilities.
Main Features of Skywork MindLink
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Adaptive Reasoning Mechanism: It can intelligently integrate reasoning and non-reasoning generation responses based on the difficulty of the task. Simple tasks quickly generate results, while complex tasks undergo deep reasoning, ensuring the accuracy and reliability of the output.
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Plan-based Reasoning: It adopts an innovative reasoning paradigm, removes the "think" tag, reduces reasoning costs, and improves multi-turn dialogue capabilities.
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New Mathematical Analysis Method: It can effectively analyze the effectiveness of Chain of Thought (CoT) and plan-based reasoning, improving reasoning performance in the mathematics field.
Technical Principles of Skywork MindLink
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Adaptive Reasoning Mechanism: Skywork MindLink can intelligently integrate reasoning and non-reasoning generation responses based on the complexity of the task. When handling simple tasks, the model can quickly generate results; when facing complex problems, it invokes a deeper reasoning mechanism to ensure the accuracy and reliability of the output.
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Plan-based Reasoning: The model adopts an innovative reasoning paradigm, removes the traditional "think" tag, reduces unnecessary reasoning steps, lowers reasoning costs, and improves multi-turn dialogue capabilities.
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Mathematical Reasoning Optimization: Skywork MindLink proposes a brand-new mathematical method for analyzing the effectiveness of Chain of Thought (CoT) and plan-based reasoning, significantly improving reasoning performance in the mathematics field.
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Post-training Based on Existing Models: The model is post-trained based on Qwen3-32B and Qwen2.5-72B, further improving the capabilities of the original models while saving a large amount of training costs.
Project Address of Skywork MindLink
- Github Repository：https://github.com/SkyworkAI/MindLink
- Technical Paper：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
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Personalized Learning: Skywork MindLink can provide personalized learning suggestions and tutoring based on students' learning progress and abilities.
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Intelligent Tutoring: When solving complex problems, the model can reason in depth and provide students with detailed problem-solving ideas and steps.
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Assisted Diagnosis: Skywork MindLink can assist doctors in disease diagnosis, providing data-based analysis and suggestions.
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Risk Assessment: In the field of financial risk control, Skywork MindLink can efficiently conduct risk assessment, helping financial institutions make more precise decisions.
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Intelligent Customer Service: Quickly respond to customer inquiries, provide accurate answers, and improve customer satisfaction.