- Educators & Students: Generate step-by-step math solutions, proofs, and explanations suitable for tutoring or study aids.
- Data Scientists & Researchers: Automatically solve and verify formal math problems and test theorem proofs.
- Developers: Embed math reasoning into apps, tutoring platforms, or automated proof tools.
- AI Practitioners: Fine-tune or build on top of base, instruct, or RL versions for advanced reasoning tasks.
- Open-Source Enthusiasts: Download and use all three variants under MIT license via Hugging Face.
How to Use DeepSeek Math?
- Access the Models: Choose from Base, Instruct, or RL checkpoints (`deepseek-ai/deepseek-math-7b-instruct` on Hugging Face).
- Send Math Prompts: Use chain-of-thought prompts (e.g., “Please reason step by step…”) in English or Chinese for best results.
- Enable Tool Use: Base is standalone; RL versions can call tools or Python interpreters when enabled.
- Retrieve Structured Outputs: Receive detailed reasoning chains and final boxed answers or formal proofs.
- Deploy Freely: Fully MIT-licensed for use in commercial and personal applications.
- Nearly Closed-Model Accuracy: First open model approaching GPT-4 and Gemini-Ultra on MATH and GSM8K.
- Standalone Math Reasoning: Achieves state-of-the-art without external tools or voting mechanisms.
- Richly Stepped Explanations: Designed to deliver pedagogical chain-of-thought, ideal for education or analysis tools.
- Multilingual Support: Trained on math tokens from CC and multilingual web, showing strong English and Chinese performance.
- Three Variants for Flexibility: Includes Base, Instruct, and RL versions for different deployment needs.
- High benchmark performance without tool reliance
- Clear, educational chain-of-thought responses
- Open-source and MIT-licensed for all uses
- Multiple model styles offer flexibility
- Trained on massive, specialized math data
- Still a large 7B model—requires GPU resources
- Not as general-purpose—tuned specifically for math
- RL variant may be slower or token-heavy on complex proofs
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Editorial Note
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