Qwen2 Wukong 0.5B by RESMPDEV

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Qwen2 Wukong 0.5B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2 Wukong 0.5B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Qwen2 includes improvements such as an adaptive tokenizer for multiple languages.
Supported Languages 
en (High)
Training Details 
Data Sources:
teknium OpenHeremes-2.5 dataset, Cognitive Computations
Methodology:
Supervised finetuning and direct preference optimization
Model Architecture:
Transformer with SwiGLU activation, attention QKV bias, group query attention
LLM NameQwen2 Wukong 0.5B
Repository ๐Ÿค—https://huggingface.co/RESMPDEV/Qwen2-Wukong-0.5B 
Model Size0.5b
Required VRAM1.3 GB
Updated2024-12-04
MaintainerRESMPDEV
Model Typeqwen2
Model Files  1.3 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|end_of_text|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Qwen2 Wukong 0.5B (RESMPDEV/Qwen2-Wukong-0.5B)

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Note: green Score (e.g. "73.2") means that the model is better than RESMPDEV/Qwen2-Wukong-0.5B.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124