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Phi 4 Mini Instruct by microsoft

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Model Card on HF 🤗: https://huggingface.co/microsoft/Phi-4-mini-instruct 

Phi 4 Mini Instruct Benchmarks

MMLU Pro: 32.58
GPQA: 7.94
MUSR: 6.45
BBH: 38.74
IFEval: 73.78 vs 88 (so35)-16.2%
MATH Lvl 5: 16.99
LLME Score: 0.53198
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 4 Mini Instruct (microsoft/Phi-4-mini-instruct)

Phi 4 Mini Instruct Parameters and Internals

LLM NamePhi 4 Mini Instruct
Repository 🤗https://huggingface.co/microsoft/Phi-4-mini-instruct 
Model Size3.8b
Required VRAM7.7 GB
Updated2025-05-02
Maintainermicrosoft
Model Typephi3
Instruction-BasedYes
Model Files  4.9 GB: 1-of-2   2.8 GB: 2-of-2
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.45.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size200064
Torch Data Typebfloat16

Quantized Models of the Phi 4 Mini Instruct

Model
Likes
Downloads
VRAM
Phi 4 Mini Instruct GGUF42148001 GB
Phi 4 Mini Instruct GGUF37114791 GB
...Mini Instruct Unsloth Bnb 4bit14108083 GB
Phi 4 Mini Instruct Bnb 4bit010902 GB
Phi 4 Mini Instruct 8bit33004 GB

Best Alternatives to Phi 4 Mini Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Phi 3.5 Mini Instruct128K / 7.7 GB344324859
Phi 3 Mini 128K Instruct128K / 7.7 GB4007321641
Phi 4 Mini Instruct128K / 7.7 GB5999013
NuExtract V1.5128K / 7.7 GB10851189
NuExtract 1.5128K / 7.7 GB13574226
Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB60
Glider128K / 15.4 GB332838
ECE EIFFEL 3Bv2128K / 7.7 GB50
...hi 4 Mini Instruct Abliterated128K / 7.7 GB2098
Artemide 3.5128K / 7.7 GB74573

Rank the Phi 4 Mini Instruct 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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Release v20241227
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