espressovi/BODHI-qwen-3-8b-distil
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Feb 20, 2026License:mitArchitecture:Transformer Open Weights Featherless Exclusive Cold
BODHI-qwen-3-8b-distil is a math-focused language model created by espressovi, distilled from Qwen3-8B-Base. This model is specifically optimized for mathematical reasoning tasks, demonstrating strong performance on benchmarks like AIME25. It is designed for applications requiring advanced mathematical problem-solving capabilities.
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Overview
The espressovi/BODHI-qwen-3-8b-distil model is a specialized language model developed by espressovi, focusing on advanced mathematical reasoning. It is a distilled version of the Qwen/Qwen3-8B-Base architecture, specifically enhanced for math-related tasks through a process called Long-CoT distillation.
Key Capabilities
- Mathematical Reasoning: The model is explicitly designed and optimized for solving complex mathematical problems.
- Distilled Performance: Leverages distillation from a larger Qwen3-8B-Base model to achieve focused mathematical proficiency.
Performance
- Achieves 18.82% on the AIME25 benchmark at T=1.0, 16K tokens, and pass@8, indicating its strong capability in competitive mathematics problems.
Good For
- Applications requiring high accuracy in mathematical problem-solving.
- Educational tools for advanced math.
- Research in AI for mathematical reasoning.