espressovi/BODHI-qwen-3-8b-distil
BODHI-qwen-3-8b-distil is an 8 billion parameter Qwen3-based language model developed by espressovi, specifically distilled for mathematical reasoning. It features a 32768-token context length and excels in complex math tasks, achieving 18.82% on AIME25. This model is optimized for scenarios requiring strong mathematical problem-solving capabilities.
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Overview
The espressovi/BODHI-qwen-3-8b-distil is an 8 billion parameter language model derived from Qwen/Qwen3-8B-Base. It has been specifically developed through a Long-CoT distillation process, making it highly specialized for mathematical reasoning tasks. With a substantial context length of 32768 tokens, it is designed to handle complex mathematical problems requiring extensive context.
Key Capabilities
- Advanced Mathematical Reasoning: Optimized for solving intricate math problems through its unique distillation process.
- Strong Performance on AIME25: Achieves a notable 18.82% on the AIME25 benchmark, indicating its proficiency in competitive mathematics.
- Extended Context Window: Supports a 32768-token context, allowing for the processing of longer problem descriptions and solution steps.
Good For
- Mathematical Problem Solving: Ideal for applications requiring accurate and robust solutions to mathematical challenges.
- Educational Tools: Can be integrated into platforms for teaching or assisting with advanced mathematics.
- Research in AI for Math: Useful for researchers exploring methods for improving AI's mathematical capabilities, particularly through distillation techniques.