Qwen2.5 0.5B Instruct GPTQ Int4 by Qwen

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Qwen2.5 0.5B Instruct GPTQ Int4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 0.5B Instruct GPTQ Int4 (Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4)

Qwen2.5 0.5B Instruct GPTQ Int4 Parameters and Internals

LLM NameQwen2.5 0.5B Instruct GPTQ Int4
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM0.5 GB
Updated2025-01-17
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  0.5 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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...wen2.5 0.5B Instruct GPTQ Int832K / 0.6 GB13447
Qwen2 0.5B Instruct GPTQ Int432K / 0.7 GB66012
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Qwen2Vanilla GPTQ 8bits32K / 0.9 GB210
Qwen2Vanilla GPTQ 4bits32K / 0.7 GB200
Qwen2.5 0.5B Instruct Bnb 4bit32K / 0.5 GB170732
TinySphinx32K / 1 GB340
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... Instruct Unsloth Merged 16bit32K / 1.3 GB722
... Instruct Unsloth Merged 16bit32K / 1.3 GB151
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4.

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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