Reasonflux F1 7B
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Reasonflux F1 7B
Developed by Gen-Verse
ReasonFlux-F1-7B is a hierarchical large language model reasoning model based on thinking template expansion, fine-tuned through template-enhanced reasoning trajectories, demonstrating outstanding performance in multiple reasoning tasks.
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Release Time : 3/22/2025
Model Overview
This model adopts a revolutionary template-enhanced reasoning paradigm, focusing on improving the performance of large language models in complex reasoning tasks, particularly excelling in mathematical and logical reasoning.
Model Features
Template-Enhanced Reasoning
Adopts a revolutionary template-enhanced reasoning paradigm, significantly improving the model's performance in complex reasoning tasks.
Hierarchical Reasoning Architecture
A hierarchical reasoning architecture based on thinking template expansion, capable of handling complex multi-step reasoning problems.
High-Performance Reasoning
Outperforms peer models in multiple reasoning benchmarks, including AIME, MATH500, and GPQA-Diamond.
Model Capabilities
Mathematical Problem Solving
Logical Reasoning
Complex Problem Analysis
Multi-Step Reasoning
Use Cases
Mathematics Competitions
AIME Competition Problem Solutions
Solving complex mathematical problems from the American Invitational Mathematics Examination (AIME).
Achieved a 76.7% pass rate in the AIME2024 test.
Academic Research
Advanced Mathematical Problem Solving
Solving graduate-level mathematical problems.
Achieved a 96.0% pass rate in the MATH500 test.
Logical Reasoning
Complex Logical Problem Analysis
Solving logical problems requiring multi-step reasoning.
Achieved a 67.2% pass rate in the GPQA-Diamond test.
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