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Qwen2 7B Instruct GPTQ Int4 by Qwen

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Qwen2 7B Instruct GPTQ Int4 is an open-source language model by Qwen. Features: 7b LLM, VRAM: 5.6GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  Arxiv:2309.00071   4-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2-7b-instr...   Chat   Conversational   Deploy:azure   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-7B-Instruct-GPTQ-Int4 

Qwen2 7B Instruct GPTQ Int4 Benchmarks

LLME Score: 0.14661
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Instruct GPTQ Int4 (Qwen/Qwen2-7B-Instruct-GPTQ-Int4)
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Qwen2 7B Instruct GPTQ Int4 Parameters and Internals

Model Type 
text generation, instruction-tuned
Additional Notes 
For processing long texts exceeding 32,768 tokens, the model uses YARN for enhancing model length extrapolation.
Supported Languages 
en (English)
Training Details 
Methodology:
Pretrained with a large amount of data, post-trained with both supervised finetuning and direct preference optimization.
Context Length:
131072
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention.
LLM NameQwen2 7B Instruct GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen2-7B-Instruct-GPTQ-Int4 
Base Model(s)  Qwen2 7B Instruct   Qwen/Qwen2-7B-Instruct
Model Size7b
Required VRAM5.6 GB
Updated2026-03-09
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-2   1.6 GB: 2-of-2
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB42210
...B Instruct 1M Unsloth Bnb 4bit986K / 7.5 GB773
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Qwen2.5 7B Instruct 1M 6bit986K / 6.2 GB302
Alisia 7B Instruct V1128K / 15.4 GB1142
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-7B-Instruct-GPTQ-Int4.

Rank the Qwen2 7B Instruct GPTQ Int4 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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