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Qwen2 0.5B Instruct by Qwen

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Qwen2 0.5B Instruct Benchmarks

MMLU Pro: 5.9
MUSR: 2.41
BBH: 5.88
IFEval: 22.47 vs 88 (so35)-74.5%
MATH Lvl 5: 1.66
LLME Score: 0.392
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 0.5B Instruct Parameters and Internals

LLM NameQwen2 0.5B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2-0.5B-Instruct 
Base Model(s)  Qwen/Qwen2-0.5B   Qwen/Qwen2-0.5B
Model Size0.5b
Required VRAM1 GB
Updated2024-09-07
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Qwen2 0.5B Instruct (Qwen/Qwen2-0.5B-Instruct)

Quantized Models of the Qwen2 0.5B Instruct

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VRAM
Qwen2 0.5B Instruct GGUF150480 GB
Qwen2 0.5B Instruct GPTQ Int4129030 GB
Qwen2 0.5B Instruct AWQ36960 GB
Qwen2 0.5B Instruct GPTQ Int822921 GB
Qwen2 0.5B Instruct GGUF02600 GB

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Rank the Qwen2 0.5B Instruct 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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Release v2024072803
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