SkunkApe 14B by MarsupialAI

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SkunkApe 14B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SkunkApe 14B (MarsupialAI/SkunkApe-14b)

SkunkApe 14B Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
Entertainment
Applications:
Story generation
Primary Use Cases:
Humorous storytelling, Creative content generation
Limitations:
Not safe for work capability, Factual inaccuracies
Considerations:
Do not use for accuracy-dependent tasks or sensitive material.
Additional Notes 
Weird merge method resulting in better performance than conventional merge.
Supported Languages 
en (English)
Input Output 
Input Format:
Prefers alpaca.
Performance Tips:
Use the prompt format for best results.
LLM NameSkunkApe 14B
Repository ๐Ÿค—https://huggingface.co/MarsupialAI/SkunkApe-14b 
Model Size14b
Required VRAM28.5 GB
Updated2024-12-30
MaintainerMarsupialAI
Model Typellama
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   8.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MarsupialAI/SkunkApe-14b.

Rank the SkunkApe 14B 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