DeepSeek Math-7B
Compact math specialist tuned for high-accuracy numeric reasoning and proofs.
- 7B-class model optimized for math reasoning.
- Strong reported performance on GSM8K and MATH-style tasks.
- Efficient for high-volume math workloads.
DeepSeek Math-7B is a 7B-parameter model optimized for mathematical reasoning and verification. Released in early 2024, it targets high-accuracy arithmetic, algebra, and proof-style workflows while keeping inference costs low.
Reports describe a standard decoder-only Transformer with 30 layers, 4096 hidden size, and 32 attention heads, plus optimizations like RoPE, RMSNorm, and SwiGLU. The series includes Base, Instruct, and RL-tuned variants, allowing teams to pick the best fit for tutoring, evaluation, or pipeline integration.
Math-7B is ideal for graders, structured math assistants, and systems that need precise numeric outputs at scale. It pairs well with V3.1 for general language handling and R1 when deeper reasoning is required.
- Math-specialized reasoning at 7B scale.
- Efficient inference for high-volume tasks.
- RL-tuned variants for stronger accuracy.
- Stable numeric outputs and verification.
- Cost-sensitive production deployments.