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Qwen1.5 72B Chat GPTQ Int4 by Qwen

 »  All LLMs  »  Qwen  »  Qwen1.5 72B Chat GPTQ Int4   URL Share it on

  1933   
  Arxiv:2309.16609   4-bit   Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Gptq   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-72B-Chat-GPTQ-Int4 

Qwen1.5 72B Chat GPTQ Int4 Benchmarks

LLME Score: 0.19
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 72B Chat GPTQ Int4 (Qwen/Qwen1.5-72B-Chat-GPTQ-Int4)

Qwen1.5 72B Chat GPTQ Int4 Parameters and Internals

Model Type 
text-generation, chat
Use Cases 
Considerations:
If you encounter code switching or other bad cases, we advise you to use our provided hyper-parameters in `generation_config.json`.
Additional Notes 
For the beta version, temporarily did not include GQA and the mixture of SWA and full attention.
Training Details 
Data Volume:
large amount of data
Methodology:
pretraining followed by supervised finetuning and direct preference optimization
Context Length:
32768
Model Architecture:
Transformer with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention
LLM NameQwen1.5 72B Chat GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen1.5-72B-Chat-GPTQ-Int4 
Model Size72b
Required VRAM41.3 GB
Updated2025-02-22
MaintainerQwen
Model Typeqwen2
Model Files  4.0 GB: 1-of-11   4.0 GB: 2-of-11   3.9 GB: 3-of-11   4.0 GB: 4-of-11   4.0 GB: 5-of-11   4.0 GB: 6-of-11   3.9 GB: 7-of-11   4.0 GB: 8-of-11   4.0 GB: 9-of-11   3.0 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/Qwen1.5-72B-Chat-GPTQ-Int4.

Rank the Qwen1.5 72B Chat 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 v20241227
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