DeepMath: A lightweight math reasoning Agent with smolagents
📰 Hugging Face Blog
DeepMath is a lightweight math reasoning agent that uses smolagents for efficient math problem-solving
Action Steps
- Explore the DeepMath agent and its capabilities
- Understand how smolagents are used in DeepMath
- Review the training process with GRPO
- Evaluate the performance of DeepMath in various math problem-solving tasks
Who Needs to Know This
Data scientists and AI engineers can benefit from DeepMath as it provides a novel approach to math reasoning, while product managers can explore its applications in various industries
Key Insight
💡 DeepMath uses smolagents to efficiently solve math problems, making it a promising tool for various applications
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🤖 DeepMath: A lightweight math reasoning agent with smolagents 📝
Key Takeaways
DeepMath is a lightweight math reasoning agent that uses smolagents for efficient math problem-solving
Full Article
Published Time: 2025-12-04T00:00:00.660Z
# DeepMath: A lightweight math reasoning Agent with smolagents
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# [](https://huggingface.co/blog/intel-deepmath#deepmath-a-lightweight-math-reasoning-agent-with-smolagents) DeepMath: A lightweight math reasoning Agent with smolagents
Published December 4, 2025
[Update on GitHub](https://github.com/huggingface/blog/blob/main/intel-deepmath.md)
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* [Why DeepMath?](https://huggingface.co/blog/intel-deepmath#why-deepmath "Why DeepMath?")
* [How It Works](https://huggingface.co/blog/intel-deepmath#how-it-works "How It Works")
* [Training with GRPO](https://huggingface.co/blog/intel-deepmath#training-with-grpo "Training with GRPO")
* [Evaluation](https://huggingface.co/blog/intel-deepmath#evaluation "Evaluation")
* [Why It Matters](https://huggingface.co/blog/intel-deepmath#why-it-matters "Why It Matters")
*
# DeepMath: A lightweight math reasoning Agent with smolagents
[Hugging Face](https://huggingface.co/)
* [Models](https://huggingface.co/models)
* [Datasets](https://huggingface.co/datasets)
* [Spaces](https://huggingface.co/spaces)
* [Buckets new](https://huggingface.co/storage)
* [Docs](https://huggingface.co/docs)
* [Enterprise](https://huggingface.co/enterprise)
* [Pricing](https://huggingface.co/pricing)
*
*
* * *
* [Log In](https://huggingface.co/login)
* [Sign Up](https://huggingface.co/join)
[Back to Articles](https://huggingface.co/blog)
# [](https://huggingface.co/blog/intel-deepmath#deepmath-a-lightweight-math-reasoning-agent-with-smolagents) DeepMath: A lightweight math reasoning Agent with smolagents
Published December 4, 2025
[Update on GitHub](https://github.com/huggingface/blog/blob/main/intel-deepmath.md)
[- [x] Upvote 40](https://huggingface.co/login?next=%2Fblog%2Fintel-deepmath)
* [](https://huggingface.co/clem "clem")
* [](https://huggingface.co/ofirzaf "ofirzaf")
* [](https://huggingface.co/jeffboudier "jeffboudier")
* [](https://huggingface.co/moshew "moshew")
* [](https://huggingface.co/mfeldman143 "mfeldman143")
* [](https://huggingface.co/echarlaix "echarlaix")
* +34
[](https://huggingface.co/danf)
[Daniel Fleischer danf Follow](https://huggingface.co/danf)
[](https://huggingface.co/Intel "Intel")[Intel](https://huggingface.co/Intel)
[](https://huggingface.co/mber)
[Moshe Berchansky mber Follow](https://huggingface.co/mber)
[](https://huggingface.co/Intel "Intel")[Intel](https://huggingface.co/Intel)
[](https://huggingface.co/moshew)
[Moshe Wasserblat moshew Follow](https://huggingface.co/moshew)
[](https://huggingface.co/Intel "Intel")[Intel](https://huggingface.co/Intel)
* [Why DeepMath?](https://huggingface.co/blog/intel-deepmath#why-deepmath "Why DeepMath?")
* [How It Works](https://huggingface.co/blog/intel-deepmath#how-it-works "How It Works")
* [Training with GRPO](https://huggingface.co/blog/intel-deepmath#training-with-grpo "Training with GRPO")
* [Evaluation](https://huggingface.co/blog/intel-deepmath#evaluation "Evaluation")
* [Why It Matters](https://huggingface.co/blog/intel-deepmath#why-it-matters "Why It Matters")
*
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