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Deductive Reasoning Qwen 32B
A model trained through reinforcement fine-tuning based on Qwen 2.5 32B Instruct, specifically designed to solve challenging deductive reasoning problems in the Temporal Clue dataset.
Downloads 1,669
Release Time : 3/6/2025
Model Overview
This model focuses on solving complex deductive reasoning problems, particularly excelling in handling challenging questions from the Temporal Clue dataset.
Model Features
Reinforcement Fine-Tuning
Optimized for deductive reasoning tasks through reinforcement learning fine-tuning.
Large Parameter Scale
A large language model with 32B parameters, equipped with powerful reasoning capabilities.
Focus on Deductive Reasoning
Specifically optimized for deductive reasoning problems in the Temporal Clue dataset.
Model Capabilities
Deductive Reasoning
Complex Problem Solving
Logical Reasoning
Text Generation
Use Cases
Logical Reasoning
Solving Temporal Clue Problems
Handling complex reasoning problems in the Temporal Clue dataset
Performs excellently on specific datasets
Educational Research
Logical Reasoning Teaching Aid
Can serve as an auxiliary tool for teaching logical reasoning
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