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DAPO Qwen 32B

Developed by BytedTsinghua-SIA
A large language model trained using the DAPO algorithm based on the Qwen2.5-32B model, specializing in mathematical problem-solving and multilingual text generation
Downloads 7,241
Release Time : 4/9/2025

Model Overview

DAPO-Qwen-32B is a large language model trained using the DAPO algorithm based on the Qwen2.5-32B model, primarily designed for solving complex mathematical problems and multilingual text generation tasks.

Model Features

DAPO Algorithm Training
Trained using the DAPO algorithm, enhancing the model's performance in mathematical problem-solving
Multilingual Support
Supports text generation and understanding in 13 languages
Mathematical Problem-Solving Capability
Specially optimized for solving complex mathematical problems, capable of step-by-step reasoning and providing final answers

Model Capabilities

Mathematical Problem Solving
Multilingual Text Generation
Step-by-Step Reasoning
Complex Problem Solving

Use Cases

Education
Math Problem Solving
Helps students solve complex math problems by providing step-by-step solutions
Capable of accurately solving various math problems, including algebra, geometry, etc.
Multilingual Applications
Multilingual Text Generation
Supports text generation in 13 languages
Capable of generating fluent multilingual text
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