DeepSeek-Prover-V2-7B is an open-source large language model developed by the DeepSeek team on May 1, 2025, specifically designed for the Lean 4 mathematical AI programming language. Its most significant feature is its seamless integration of informal mathematical reasoning (i.e., reasoning methods commonly used by humans) and rigorous formal proof, allowing the model to think flexibly like a human while performing rigorous proofs like a computer, achieving an integrated fusion of mathematical reasoning. Related research papers are available. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition .
This tutorial uses a single card A6000 as the resource. This model only supports mathematical reasoning problems.
2. Project Examples
3. Operation steps
1. After starting the container, click the API address to enter the Web interface
If "Model" is not displayed, it means the model is being initialized. Since the model is large, please wait about 1-2 minutes and refresh the page.
2. After entering the webpage, you can start a conversation with the model
How to use
4. Discussion
🖌️ If you see a high-quality project, please leave a message in the background to recommend it! In addition, we have also established a tutorial exchange group. Welcome friends to scan the QR code and remark [SD Tutorial] to join the group to discuss various technical issues and share application effects↓
Project Support
Thanks to Github user xxxjjjyyy1 Deployment of this tutorial.
Build AI with AI
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.
DeepSeek-Prover-V2-7B is an open-source large language model developed by the DeepSeek team on May 1, 2025, specifically designed for the Lean 4 mathematical AI programming language. Its most significant feature is its seamless integration of informal mathematical reasoning (i.e., reasoning methods commonly used by humans) and rigorous formal proof, allowing the model to think flexibly like a human while performing rigorous proofs like a computer, achieving an integrated fusion of mathematical reasoning. Related research papers are available. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition .
This tutorial uses a single card A6000 as the resource. This model only supports mathematical reasoning problems.
2. Project Examples
3. Operation steps
1. After starting the container, click the API address to enter the Web interface
If "Model" is not displayed, it means the model is being initialized. Since the model is large, please wait about 1-2 minutes and refresh the page.
2. After entering the webpage, you can start a conversation with the model
How to use
4. Discussion
🖌️ If you see a high-quality project, please leave a message in the background to recommend it! In addition, we have also established a tutorial exchange group. Welcome friends to scan the QR code and remark [SD Tutorial] to join the group to discuss various technical issues and share application effects↓
Project Support
Thanks to Github user xxxjjjyyy1 Deployment of this tutorial.
Build AI with AI
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.