Qwen2.5-7B-Instruct
7B
Model parameter quantity
Alibaba
Affiliated organization
Open Source
License Type
September 18, 2024
Release time
Model Introduction
Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
4.4
Knowledge coverage scope
Possesses core knowledge of mainstream disciplines, but has limited coverage of cutting-edge interdisciplinary fields.
7.9
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
4.6
Model comparison
Qwen2.5-7B-Instruct vs Qwen2.5-7B-Instruct
Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
Qwen2.5-7B-Instruct vs Gemini-2.5-Pro-Preview-05-06
Gemini 2.5 Pro is a model released by Google DeepMind artificial intelligence research team, using version number Gemini-2.5-Pro-Preview-05-06.
Qwen2.5-7B-Instruct vs Doubao-1.5-thinking-pro-250415
The new deep thinking model Doubao-1.5 performs outstandingly in professional fields such as mathematics, programming, scientific reasoning, and general tasks such as creative writing. It has reached or is close to the industry's top tier level on multiple authoritative benchmarks such as AIME 2024, Codeforces, and GPQA
Related model
Qwen2.5-7B-Instruct
Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
Qwen3-32B (Thinking)
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
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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