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Qwen 7B Chat Int4 by Qwen

 »  All LLMs  »  Qwen  »  Qwen 7B Chat Int4   URL Share it on

  1262   
  Arxiv:2009.03300   Arxiv:2210.03629   Arxiv:2305.05280   Arxiv:2305.08322   Arxiv:2309.16609   4-bit   Autotrain compatible   Custom code   En   Gptq   Qwen   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen-7B-Chat-Int4 

Qwen 7B Chat Int4 Benchmarks

LLME Score: 0.12146
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 Int4 (Qwen/Qwen-7B-Chat-Int4)
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Qwen 7B Chat Int4 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Does not know previous comprehension capabilities can be extended for some languages.
Supported Languages 
en (high), zh (high)
Training Details 
Data Sources:
web texts, books, codes
Methodology:
Alignment techniques used for training AI assistant variant
Context Length:
8192
Hardware Used:
A100-SXM4-80G GPU
Model Architecture:
Transformer-based large language model
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use flash-attention for higher efficiency and lower memory usage.
LLM NameQwen 7B Chat Int4
Repository 🤗https://huggingface.co/Qwen/Qwen-7B-Chat-Int4 
Model Size7b
Required VRAM5.8 GB
Updated2025-10-10
MaintainerQwen
Model Typeqwen
Model Files  2.0 GB: 1-of-3   2.0 GB: 2-of-3   1.8 GB: 3-of-3
Supported Languageszh en
Model ArchitectureQWenLMHeadModel
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.32.0
Tokenizer ClassQWenTokenizer
Vocabulary Size151936

Best Alternatives to Qwen 7B Chat Int4

Best Alternatives
Context / RAM
Downloads
Likes
Qwen 7B Chat32K / 15.3 GB43662783
Qwen 7B32K / 15.3 GB7614388
Qwen 7B Chat Int832K / 9 GB10878
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen-7B-Chat-Int4.

Rank the Qwen 7B Chat Int4 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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