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Qwen2 72B Instruct GPTQ Int4 by Qwen

 »  All LLMs  »  Qwen  »  Qwen2 72B Instruct GPTQ Int4   URL Share it on

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  Arxiv:2309.00071   4-bit   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2-72b-inst...   Chat   Conversational   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-72B-Instruct-GPTQ-Int4 

Qwen2 72B Instruct GPTQ Int4 Benchmarks

LLME Score: 0.25881
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 72B Instruct GPTQ Int4 (Qwen/Qwen2-72B-Instruct-GPTQ-Int4)

Qwen2 72B Instruct GPTQ Int4 Parameters and Internals

Model Type 
text generation, instruct-tuned
Additional Notes 
Qwen2-72B-Instruct-GPTQ-Int4 supports a context length of up to 131,072 tokens, enabling the processing of extensive inputs.
Supported Languages 
en (full)
Training Details 
Methodology:
Pretrained with a large amount of data and post-trained with supervised finetuning and direct preference optimization.
Context Length:
131072
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, etc.
Input Output 
Accepted Modalities:
text
LLM NameQwen2 72B Instruct GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen2-72B-Instruct-GPTQ-Int4 
Base Model(s)  Qwen2 72B Instruct   Qwen/Qwen2-72B-Instruct
Model Size72b
Required VRAM41.6 GB
Updated2024-12-22
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.9 GB: 1-of-11   3.9 GB: 2-of-11   4.0 GB: 3-of-11   4.0 GB: 4-of-11   3.9 GB: 5-of-11   4.0 GB: 6-of-11   4.0 GB: 7-of-11   3.9 GB: 8-of-11   4.0 GB: 9-of-11   3.5 GB: 10-of-11   2.5 GB: 11-of-11
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-72B-Instruct-GPTQ-Int4.

Rank the Qwen2 72B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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