Audience

DeepSeekMath is designed for researchers, developers, and organizations seeking advanced AI-driven solutions for complex mathematical problem-solving and analysis

About DeepSeekMath

DeepSeekMath is a specialized 7B parameter language model developed by DeepSeek-AI, designed to push the boundaries of mathematical reasoning in open-source language models. It starts from the DeepSeek-Coder-v1.5 7B model and undergoes further pre-training with 120B math-related tokens sourced from Common Crawl, alongside natural language and code data. DeepSeekMath has demonstrated remarkable performance, achieving a 51.7% score on the competition-level MATH benchmark without external tools or voting techniques, closely competing with the likes of Gemini-Ultra and GPT-4. The model's capabilities are enhanced by a meticulous data selection pipeline and the introduction of Group Relative Policy Optimization (GRPO), which optimizes both mathematical reasoning and memory usage. DeepSeekMath is available in base, instruct, and RL versions, supporting both research and commercial use, and is aimed at those looking to explore or apply advanced mathematical problem-solving in AI contexts.

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Pricing

Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.

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Company Information

DeepSeek
Founded: 2023
China
deepseek.com

Videos and Screen Captures

DeepSeekMath Screenshot 1
DeepSeekMath Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
On-Premises
Training
Documentation

DeepSeekMath Frequently Asked Questions

Q: What kinds of users and organization types does DeepSeekMath work with?
Q: What languages does DeepSeekMath support in their product?
Q: What type of training does DeepSeekMath provide?
Q: How much does DeepSeekMath cost?

DeepSeekMath Product Features