DeepSeek-Math-V2 - DeepSeek open source mathematical reasoning model

What is DeepSeek-Math-V2?

DeepSeek-Math-V2 is an open source mathematical reasoning model from DeepSeek, an AI company under Phantom Cube, and the latest version is improved based on DeepSeek-V3.2-Exp-Base, with performance that exceeds Gemini DeepThink and reaches the International Mathematical Olympiad (IMO) gold level. The model uses the Multihead Latent Attention (MLA) technique to significantly reduce inference memory consumption, and solves the Minif2F test 88.9% by combining non-formal and formal inference through a recursive theorem proving pipeline. Its companion open-source dataset, ProverBench, contains 325 high school to undergraduate level difficulty math problems covering 10 domains such as number theory and algebra.

Features of DeepSeek-Math-V2

• Self-validating mathematical reasoning: DeepSeek-Math-V2 focuses on self-validating mathematical reasoning by training an accurate and reliable theorem-proof verifier and using it as a reward model to train the proof generator, motivating the generator to identify and solve as many problems as possible before finalizing the proof.
• Strong theorem proving ability: The model has performed well in demanding math competitions such as the International Mathematical Olympiad (IMO), Chinese Mathematical Olympiad (CMO), and Putnam Mathematics Competition, generating high-quality theorem proofs.
• Generator and Validator InteractionThe "Validator-Generator" dual-model architecture is used, where the generator is responsible for creating the initial proof, the validator checks for logical holes, the generator corrects them based on feedback, and the process is repeated until the proof is validated.
• Dynamically scaling validation calculations: As the capacity of the generator increases, the validator computation scales accordingly to automatically mark new hard-to-validate proofs, thus further improving the validator.
• Reasoning Support and Open Source: DeepSeek-Math-V2 is built on DeepSeek-V3.2-Exp-Base, for inference support see the GitHub repository for DeepSeek-V3.2-Exp. The model and its weights are available under the Apache 2.0 license.

Core Benefits of DeepSeek-Math-V2

• Self-validation capability: The model is equipped with a powerful self-verification feature that automatically checks the generated mathematical proofs for rigor and logical coherence, ensuring the correctness of the reasoning process, not just the accuracy of the final answer.
• dual-model architectureThe "Validator-Generator" architecture, where the generator is responsible for generating proofs and the validator is responsible for verifying the correctness of the proofs, collaborates with each other to significantly improve the quality and reliability of the proofs.
• dynamic optimization: As the capability of the generator increases, the computational size of the verifier scales dynamically, automatically labeling new hard-to-verify proofs and providing the verifier with new training data to further improve its performance.
• Competition-level performance: Demonstrated strong ability in complex mathematical problem solving by performing well in difficult mathematical competitions such as the International Mathematical Olympiad (IMO), the Chinese Mathematical Olympiad (CMO), and the Putnam Mathematics Competition.

What is the official website for DeepSeek-Math-V2?

• GitHub repository:: https://github.com/deepseek-ai/DeepSeek-Math-V2
• HuggingFace Model Library:: https://huggingface.co/deepseek-ai/DeepSeek-Math-V2
• Technical Papers:: https://github.com/deepseek-ai/DeepSeek-Math-V2/blob/main/DeepSeekMath_V2.pdf

Who is DeepSeek-Math-V2 for?

• Math ContestantsDeepSeek-Math-V2 can help students participating in math competitions such as the International Mathematical Olympiad (IMO) and the Chinese Mathematical Olympiad (CMO) to improve their problem solving and rigor of proofs, and to better cope with the complex problems in the competitions.
• mathematics researcher: In the field of mathematical research, models can assist researchers in theorem proving and mathematical derivation, verify the logic and assumptions in the research process, and improve the efficiency of research.
• educator: Math teachers can use DeepSeek-Math-V2 as a teaching aid to enrich their teaching by providing students with high-quality examples of math proofs and solutions.
• artificial intelligence researcher: For those engaged in AI and machine learning research, DeepSeek-Math-V2 is an excellent case study of mathematical reasoning and model validation, which can provide reference and inspiration for research in related fields.
• Learners interested in math: Any learner with a strong interest in math and a desire to improve their mathematical reasoning skills can use DeepSeek-Math-V2 to explore math problem solving and enhance their understanding of math.