Qwen2 0.5B Instruct by Qwen

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Qwen2 0.5B Instruct Benchmarks

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

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 ๐Ÿค—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
Updated2024-11-13
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

Model
Likes
Downloads
VRAM
Qwen2 0.5B Instruct GGUF115400 GB
Qwen2 0.5B Instruct GPTQ Int4129260 GB
Qwen2 0.5B Instruct GPTQ Int827261 GB
Qwen2 0.5B 16bit0521 GB
Qwen2 0.5B Instruct AWQ35840 GB
Qwen2 0.5B Instruct GGUF0680 GB

Best Alternatives to Qwen2 0.5B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2 0.5B Abyme Merge3128K / 1.3 GB110
Qwen2 0.5B Abyme Merge2128K / 0.3 GB110
Qwen2.5 0.5B Instruct32K / 1 GB43427996
Qwen2.5 Coder 0.5B Instruct32K / 1 GB1558
Reasoning 0.5B32K / 1 GB82826
Vikhr Qwen 2.5 0.5B Instruct32K / 1 GB113411
Qwen2.5 0.5B Instruct32K / 1 GB34441
Qwen2.5 0.5B Instruct32K /  GB9842
ECE.EIFFEIL.ia 0.5B SLERP32K / 1.3 GB4160
Qwen2.5 0.5B Test Ft32K / 1 GB2654
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 v20241110