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Qwen2 0.5B Instruct by Qwen

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  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-0.5b   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-0.5B-Instruct 

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: 2.87
LLME Score: 0.27454
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 (Qwen/Qwen2-0.5B-Instruct)
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Qwen2 0.5B Instruct Parameters and Internals

Model Type 
text-generation
Training Details 
Methodology:
We pretrained the models with a large amount of data, and we post-trained the models with both supervised finetuning and direct preference optimization.
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, etc.
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
Updated2025-08-21
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

Quantized Models of the Qwen2 0.5B Instruct

Model
Likes
Downloads
VRAM
Qwen2 0.5B Instruct GGUF115450 GB
Qwen2 0.5B Instruct GPTQ Int8410671 GB
Qwen2 0.5B Instruct AWQ48930 GB
Qwen2 0.5B Instruct GGUF08910 GB
Qwen2 0.5B 16bit0521 GB
Qwen2 0.5B Instruct GPTQ Int4141900 GB

Best Alternatives to Qwen2 0.5B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2 0.5B Abyme Merge3128K / 1.3 GB81
Qwen2 0.5B Abyme Merge2128K / 0.3 GB70
Qwen2.5 0.5B Instruct64K / 1 GB60
Qwen2.5 0.5B Instruct32K / 1 GB399428720
Qwen2.5 0.5B Instruct32K / 1 GB1492726357
Limbic Tool Use 0.5B 32K32K / 1 GB35625
Lb Reranker 0.5B V1.032K / 1 GB1676972
Lyrics Qwen2.5 0.5B Instruct32K / 1 GB492
Qwen2.5 Coder 0.5B Instruct32K / 1 GB2128950
FastThink 0.5B Tiny32K / 1 GB9806
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-0.5B-Instruct.

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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