Intel/hebrew-math-tutor-v1
Intel's Hebrew Math Tutor v1 is a 4 billion parameter decoder-only causal language model, fine-tuned from Qwen3-4B-Thinking-2507, specifically optimized for mathematical reasoning in Hebrew. It provides detailed, step-by-step solutions to math problems in Hebrew, bridging advanced AI mathematical capabilities with Hebrew-language education. The model significantly improves Hebrew answer generation (25-61.5% increase) while maintaining strong mathematical accuracy on benchmarks like MATH500 and AIME. It is primarily intended for educational technology, research, and prototype development in Hebrew-speaking contexts.
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Hebrew Math Tutor v1: Specialized Mathematical Reasoning in Hebrew
Intel's Hebrew Math Tutor v1 is a 4 billion parameter decoder-only causal language model, built upon Qwen3-4B-Thinking-2507. This model is specifically fine-tuned to provide detailed, step-by-step mathematical reasoning and solutions in Hebrew, making advanced AI math capabilities accessible for Hebrew-language education.
Key Capabilities & Features
- Hebrew Mathematical Reasoning: Delivers clear, pedagogically sound explanations for math problems entirely in Hebrew.
- High Accuracy: Maintains mathematical precision, showing improvements in
pass@16on Hebrew evaluations across benchmarks like MATH500 and AIME. - Language Adaptation: Achieves 95-100% Hebrew output for answers, a significant increase (25-61.5%) compared to its base model.
- Multilingual Preservation: Retains underlying multilingual capabilities for broader applications.
- Supervised Fine-Tuning: Trained on ~10,000 translated problems from the OpenMathReasoning dataset, focusing on Hebrew SFT.
Ideal Use Cases
- Educational Technology: Developing Hebrew-language math tutoring systems and learning platforms.
- Research: Supporting mathematical reasoning research within Hebrew educational contexts.
- Accessibility: Providing advanced math AI assistance to Hebrew-speaking communities.
- Prototype Development: Building Hebrew-first educational AI applications.