Phi 2 by oongaboongahacker

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  Autotrain compatible   Custom code   Mixformer-sequential   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/oongaboongahacker/phi-2 

Phi 2 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 (oongaboongahacker/phi-2)
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Phi 2 Parameters and Internals

Additional Notes 
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LLM NamePhi 2
Repository ๐Ÿค—https://huggingface.co/oongaboongahacker/phi-2 
Required VRAM11.1 GB
Updated2025-08-21
Maintaineroongaboongahacker
Model Typemixformer-sequential
Model Files  10.0 GB: 1-of-2   1.1 GB: 2-of-2
Model ArchitectureMixFormerSequentialForCausalLM
Model Max Length2048
Transformers Version4.34.0
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat32
Activation Functiongelu_new

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Rank the Phi 2 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