Qwen2 Deita 500M by KnutJaegersberg

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Qwen2 Deita 500M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 Deita 500M (KnutJaegersberg/Qwen2-Deita-500m)

Qwen2 Deita 500M Parameters and Internals

LLM NameQwen2 Deita 500M
Repository ๐Ÿค—https://huggingface.co/KnutJaegersberg/Qwen2-Deita-500m 
Model Size500m
Required VRAM2.5 GB
Updated2025-02-22
MaintainerKnutJaegersberg
Model Typeqwen2
Model Files  2.5 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151646
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/Qwen2-Deita-500m.

Rank the Qwen2 Deita 500M 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