Phi 3 Mini 4K Instruct Dequantized by predibase

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Phi 3 Mini 4K Instruct Dequantized Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mini 4K Instruct Dequantized (predibase/Phi-3-mini-4k-instruct-dequantized)

Phi 3 Mini 4K Instruct Dequantized Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (unknown)
LLM NamePhi 3 Mini 4K Instruct Dequantized
Repository ๐Ÿค—https://huggingface.co/predibase/Phi-3-mini-4k-instruct-dequantized 
Base Model(s)  Phi 3 Mini 4K Instruct   microsoft/Phi-3-mini-4k-instruct
Model Size3.8b
Required VRAM7.7 GB
Updated2025-06-01
Maintainerpredibase
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesen
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than predibase/Phi-3-mini-4k-instruct-dequantized.

Rank the Phi 3 Mini 4K Instruct Dequantized 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