DeepSeek’s new models for proving Maths theorems
After remaining silent for A few days, DeepSeek is back with a new model named DeepSeek Prover V2. And this model is not a reasoning model, nor is it a general LLM, but
DeepSeek-Prover-V2 is an advanced language model specialized in formal theorem proving using the Lean 4 proof assistant.
What does that even mean?
DeepSeek-Prover-V2 is an AI model that helps mathematicians and computer scientists write and verify formal proofs — like solving math problems but with 100% logical certainty. It uses Lean 4, a programming language designed for mathematical proofs, to check if each step is correct.
What can DeepSeek-Prover-V2 be used for?
It is not a general LLM but very highly specialised for mathematical proving. So it does indicate that DeepSeek R2 might be a maths monster making use of DeepSeek Prover V2.
Automated Theorem Proving
- It can solve math problems (from high school to college-level) by generating step-by-step proofs.
- Example: Proving inequalities, algebra problems, or even advanced calculus theorems.
Finding Errors in Proofs
- If a human (or another AI) writes an incorrect proof, this model can detect mistakes and suggest fixes.
Teaching & Learning
- Helps students and researchers understand formal proofs by generating explanations alongside Lean 4 code.
Mathematical Research
- Assists mathematicians in exploring new theorems by trying different proof strategies automatically.
As usual by DeepSeek, no other information has been revealed by the model, and just the model weights have been dropped on Hugging Face. The model size remains the same as the previous models, that is 671B parameters.
The model weights can be downloaded from here
deepseek-ai/DeepSeek-Prover-V2-671B · Hugging Face
I will be updating this section as and when some more information is revealed by DeepSeek. For now, try using the model
DeepSeek-Prover-V2: DeepSeek’s new model for Maths was originally published in Data Science in Your Pocket on Medium, where people are continuing the conversation by highlighting and responding to this story.
