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Qwen1.5 32B Chat GPTQ Int8 by study-hjt

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Qwen1.5 32B Chat GPTQ Int8 is an open-source language model by study-hjt. Features: 32b LLM, VRAM: 34.9GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2309.16609   32b   8-bit   Chat   Conversational   En   Endpoints compatible   Gptq   Int8   Quantized   Qwen   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/study-hjt/Qwen1.5-32B-Chat-GPTQ-Int8 

Qwen1.5 32B Chat GPTQ Int8 Benchmarks

LLME Score: 0.13062
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 32B Chat GPTQ Int8 (study-hjt/Qwen1.5-32B-Chat-GPTQ-Int8)
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Qwen1.5 32B Chat GPTQ Int8 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model supports stable 32K context length and has improved multilingual support.
Supported Languages 
en (multilingual), zh (multilingual)
Training Details 
Methodology:
pretrained on a large amount of data with supervised finetuning and direct preference optimization
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use provided hyper-parameters in generation_config.json for better performance in cases like code switching.
LLM NameQwen1.5 32B Chat GPTQ Int8
Repository 🤗https://huggingface.co/study-hjt/Qwen1.5-32B-Chat-GPTQ-Int8 
Model Size32b
Required VRAM34.9 GB
Updated2026-04-01
Maintainerstudy-hjt
Model Typeqwen2
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   9.9 GB: 3-of-4   5.0 GB: 4-of-4
Supported Languagesen zh
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Rank the Qwen1.5 32B Chat GPTQ Int8 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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