Qwen1.5 0.5B Chat GPTQ Int8 by Qwen

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  Arxiv:2309.16609   8-bit   Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Gptq   Quantized   Qwen2   Region:us   Safetensors

Qwen1.5 0.5B Chat GPTQ Int8 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 0.5B Chat GPTQ Int8 (Qwen/Qwen1.5-0.5B-Chat-GPTQ-Int8)

Qwen1.5 0.5B Chat GPTQ Int8 Parameters and Internals

Model Type 
text-generation, chat
Use Cases 
Areas:
chat
Training Details 
Methodology:
Pretrained with a large amount of data, followed by supervised finetuning and direct preference optimization.
Model Architecture:
Transformer-based decoder-only with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention.
Input Output 
Performance Tips:
If you encounter code switching or other bad cases, use provided hyper-parameters in `generation_config.json`.
LLM NameQwen1.5 0.5B Chat GPTQ Int8
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat-GPTQ-Int8 
Model Size0.5b
Required VRAM0.6 GB
Updated2025-02-22
MaintainerQwen
Model Typeqwen2
Model Files  0.6 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-0.5B-Chat-GPTQ-Int8.

Rank the Qwen1.5 0.5B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227