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README.md

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-license: mit
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+license: mit
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+# INTELLECT-MATH: State-of-the-Art Mathematical Reasoning through Better Initializations for Reinforcement Learning
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+INTELLECT-MATH is a 7B parameter model optimized for mathematical reasoning. It was trained in two stages, an SFT stage, in which the model was fine-tuned on verified QwQ outputs, and an RL stage, in which the model was trained using the [PRIME-RL](https://github.com/PRIME-RL/PRIME) recipe.
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+We demonstrate that the quality of our SFT data can impact the performance and training speed of the RL stage: Due to its better synthetic SFT dataset that encourages the model to imitate the reasoning behavior of a strong teacher model, INTELLECT-MATH outperforms Eurus-2-PRIME, the previous state-of-the-art trained with PRIME-RL, and matches its performance with 10x faster training.
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+### Links
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+- 📜 [Blog Post]()
+- 🔗 [Github]()
+- 🤗 [Hugging Face Collection]()