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Autogressive 32B
Autoregressive-32B is a Multiverse-32B baseline model built based on autoregressive modeling, providing strong support for text generation tasks.
Downloads 1,945
Release Time : 5/15/2025
Model Overview
Autoregressive-32B is a large language model based on autoregressive modeling, mainly used for text generation tasks. It performs excellently in multiple benchmark tests, especially in mathematical reasoning and Q&A tasks.
Model Features
Powerful text generation ability
Based on an autoregressive architecture with a 32B parameter scale, it provides high-quality text generation ability
Excellent mathematical reasoning ability
Performs excellently in mathematical reasoning benchmark tests such as MATH500
Outstanding Q&A performance
Reaches the leading level in Q&A benchmark tests such as GPQA-Diamond
Based on a high-quality base model
Based on the Qwen2.5-32B-Instruct base model, inheriting its excellent characteristics
Model Capabilities
Text generation
Mathematical reasoning
Q&A system
Knowledge Q&A
Use Cases
Education
Mathematical problem solving
Help students solve complex mathematical problems
Achieved 92.8% accuracy in the MATH500 test
Knowledge Q&A
Professional domain Q&A
Answer questions in professional domains such as GPQA-Diamond
Achieved 61.6% accuracy in the GPQA-Diamond test
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