Phi 2 Super GGUF by MaziyarPanahi

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Phi 2 Super GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Super GGUF (MaziyarPanahi/phi-2-super-GGUF)
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Phi 2 Super GGUF Parameters and Internals

Model Type 
text-generation, transformers, conversational
LLM NamePhi 2 Super GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/phi-2-super-GGUF 
Model Namephi-2-super-GGUF
Model Creatorabacaj
Base Model(s)  Phi 2 Super   abacaj/phi-2-super
Required VRAM1.1 GB
Updated2025-09-15
MaintainerMaziyarPanahi
Model Typemistral
Model Files  1.6 GB   1.1 GB   1.6 GB   1.4 GB   1.2 GB   1.7 GB   1.6 GB   2.0 GB   1.9 GB   2.3 GB   3.0 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/phi-2-super-GGUF.

Rank the Phi 2 Super GGUF 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