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Qwen 7B Chat by Qwen

 »  All LLMs  »  Qwen  »  Qwen 7B Chat   URL Share it on

  43662   
  Arxiv:2009.03300   Arxiv:2210.03629   Arxiv:2305.05280   Arxiv:2305.08322   Arxiv:2309.16609   Autotrain compatible   Custom code   En   Qwen   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen-7B-Chat 

Qwen 7B Chat Benchmarks

LLME Score: 0.19753
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 7B Chat (Qwen/Qwen-7B-Chat)
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Qwen 7B Chat Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
AI assistant, Chat interactions
Supported Languages 
zh (Chinese), en (English)
Training Details 
Data Sources:
web texts, books, codes
Methodology:
Alignment techniques on top of pretrained model
Context Length:
8192
Model Architecture:
Transformer-based
Input Output 
Input Format:
Tiktoken tokenizer format
Accepted Modalities:
text
Output Format:
Text responses
Performance Tips:
Install flash-attention for higher efficiency and lower memory usage.
Release Notes 
Notes:
Improved performance updates for both pretrained and chat models.
LLM NameQwen 7B Chat
Repository 🤗https://huggingface.co/Qwen/Qwen-7B-Chat 
Model Size7b
Required VRAM15.3 GB
Updated2025-10-16
MaintainerQwen
Model Typeqwen
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   2.0 GB: 7-of-8   1.3 GB: 8-of-8
Supported Languageszh en
Model ArchitectureQWenLMHeadModel
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.32.0
Tokenizer ClassQWenTokenizer
Vocabulary Size151936

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Rank the Qwen 7B Chat Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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