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Qwen3-32B (Thinking)

Qwen3-32B (Thinking)

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Model parameter quantity
32B
Model parameter quantity
Affiliated organization
Alibaba
Affiliated organization
Open Source
License Type
Release time
April 29, 2025
Release time
Model Introduction
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
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Language comprehension ability Language comprehension ability
Language comprehension ability
Capable of understanding complex contexts and generating logically coherent sentences, though occasionally off in tone control.
7.7
Knowledge coverage scope Knowledge coverage scope
Knowledge coverage scope
Possesses core knowledge of mainstream disciplines, but has limited coverage of cutting-edge interdisciplinary fields.
8.3
Reasoning ability Reasoning ability
Reasoning ability
Capable of building multi-level logical frameworks, achieving over 99% accuracy in complex mathematical modeling.
9.0
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Qwen1.5-72B-Chat Qwen1.5 is the beta version of Qwen2, maintaining its architecture as a decoder-only transformer model with SwiGLU activation, RoPE, and multi-head attention mechanisms. It offers nine model sizes and has enhanced multilingual and chat model capabilities, supporting a context length of 32,768 tokens. All models have enabled system prompts for roleplaying, and the code supports native implementation in transformers.
Qwen1.5-7B-Chat Qwen1.5 is the beta version of Qwen2, maintaining its architecture as a decoder-only transformer model with SwiGLU activation, RoPE, and multi-head attention mechanisms. It offers nine model sizes and has enhanced multilingual and chat model capabilities, supporting a context length of 32,768 tokens. All models have enabled system prompts for roleplaying, and the code supports native implementation in transformers.
Qwen1.5-14B-Chat Qwen1.5 is the beta version of Qwen2, maintaining its architecture as a decoder-only transformer model with SwiGLU activation, RoPE, and multi-head attention mechanisms. It offers nine model sizes and has enhanced multilingual and chat model capabilities, supporting a context length of 32,768 tokens. All models have enabled system prompts for roleplaying, and the code supports native implementation in transformers.
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