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Phi 4 Mini Reasoning by microsoft

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Phi 4 Mini Reasoning is an open-source language model by microsoft. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: mit, LLM Explorer Score: 0.29.

  Arxiv:2504.21233   Code   Conversational   En   Endpoints compatible   Math   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/microsoft/Phi-4-mini-reasoning 

Phi 4 Mini Reasoning Benchmarks

LLME Score: 0.28651
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 Reasoning (microsoft/Phi-4-mini-reasoning)
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Phi 4 Mini Reasoning Parameters and Internals

LLM NamePhi 4 Mini Reasoning
Repository 🤗https://huggingface.co/microsoft/Phi-4-mini-reasoning 
Model Size3.8b
Required VRAM7.7 GB
Updated2026-03-30
Maintainermicrosoft
Model Typephi3
Model Files  4.9 GB: 1-of-2   2.8 GB: 2-of-2
Supported Languagesen
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.50.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size200064
Torch Data Typebfloat16

Quantized Models of the Phi 4 Mini Reasoning

Model
Likes
Downloads
VRAM
Phi 4 Mini Reasoning GGUF46100591 GB
...ini Reasoning Unsloth Bnb 4bit815413 GB

Best Alternatives to Phi 4 Mini Reasoning

Best Alternatives
Context / RAM
Downloads
Likes
Phi 4 Mini Instruct128K / 7.7 GB637798706
Phi 3 Mini 128K Instruct128K / 7.7 GB2475911696
Phi 3 Medium 128K Instruct128K / 28 GB4960387
Phi 4 Mini Reasoning Bf16128K / 7.7 GB162
Phi 4 Mini Instruct ONNX GQA128K /  GB365
Phi 3.5 Mini Instruct Onnx128K /  GB11637
Phi 3.5 Mini Instruct Onnx Web128K /  GB42415
Phi 3 Mini 128K Instruct Onnx128K /  GB97192
...i 3 Mini 128K Instruct Ov Int4128K / 2 GB50
...Medium 128K Instruct Onnx Cuda128K /  GB3923
Note: green Score (e.g. "73.2") means that the model is better than microsoft/Phi-4-mini-reasoning.

Rank the Phi 4 Mini Reasoning 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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