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Model: oumi-ai/MiniMath-R1-1.5B Source: Original Platform
2026-05-02 20:29:31 +08:00
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+---
+tags:
+- math
+license: apache-2.0
+datasets:
+- oumi-ai/MetaMathQA-R1
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+pipeline_tag: text-generation
+---
+
+[![oumi logo](https://oumi.ai/logo_lockup_black.svg)](https://github.com/oumi-ai/oumi)
+[![Made with Oumi](https://badgen.net/badge/Made%20with/Oumi/%23085CFF?icon=https%3A%2F%2Foumi.ai%2Flogo_dark.svg)](https://github.com/oumi-ai/oumi)
+
+[![Documentation](https://img.shields.io/badge/Documentation-oumi-blue.svg)](https://oumi.ai/docs/en/latest/index.html)
+[![Blog](https://img.shields.io/badge/Blog-oumi-blue.svg)](https://oumi.ai/blog)
+[![Discord](https://img.shields.io/discord/1286348126797430814?label=Discord)](https://discord.gg/oumi)
+
+# oumi-ai/MiniMath-R1-1.5B
+
+<!-- Provide a quick summary of what the model is/does. -->
+Supervised fine-tune of [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) using [oumi-ai/MetaMathQA-R1](https://huggingface.co/datasets/oumi-ai/MetaMathQA-R1).
+
+Achieves **44.4% accuracy on MMLU-Pro-Math**, the **highest of any model with <=1.5B parameters**.
+
+Improves the base model's accuracy by **+6 points**.
+
+
+- **Developed by:** [Oumi AI](https://oumi.ai/)
+- **Model type:** Small Language Model
+- **Language(s) (NLP):** English
+- **License:** [Apache 2.0](https://opensource.org/license/apache-2-0)
+- **Finetuned from model:** [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
+- **Demo:** [Fine-Tuning Notebook](https://github.com/oumi-ai/oumi/blob/307436bd98706cb9ce7b0bbf31204770af2b7c8c/notebooks/Oumi%20-%20MiniMath-R1-1.5B.ipynb)
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+Use as a conversational assistant for solving math problems with an exposed thought process.
+
+## Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+Smaller LLMs have limited capabilities and should be used with caution. Avoid using this model for purposes outside of mathematics.
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+This model was finetuned with DeepSeek-R1 data on top of an R1-distill model, so any biases or risks associated with those models may be present.
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+Training data: [oumi-ai/MetaMathQA-R1](https://huggingface.co/datasets/oumi-ai/MetaMathQA-R1)
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+Training notebook: [Fine-Tuning Notebook](https://github.com/oumi-ai/oumi/blob/307436bd98706cb9ce7b0bbf31204770af2b7c8c/notebooks/Oumi%20-%20MiniMath-R1-1.5B.ipynb)
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+- **Hardware Type:** H100
+- **Hours used:** 0.8 (0.1 * 8 GPUs)
+- **Cloud Provider:** Google Cloud Platform
+- **Compute Region:** us-east5
+- **Carbon Emitted:** 0.07 kg
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+```
+@misc{miniMathR1_2025,
+  author = {Jeremiah Greer},
+  title = {MiniMath-R1-1.5B},
+  month = {February},
+  year = {2025},
+  url = {https://huggingface.co/oumi-ai/MiniMath-R1-1.5B}
+}
+
+@software{oumi2025,
+  author = {Oumi Community},
+  title = {Oumi: an Open, End-to-end Platform for Building Large Foundation Models},
+  month = {January},
+  year = {2025},
+  url = {https://github.com/oumi-ai/oumi}
+}
+```