microsoft_Phi-4-mini-reasoning-GGUF

tensorblock/microsoft_Phi-4-mini-reasoning-GGUF

microsoft_Phi-4-mini-reasoning-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.

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Downloads · 30 days

3% of all-time downloads

All-time downloads

Public

Repo size

30.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf3.8 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: mit
Access: Public
Created: Jul 29, 2025
Updated: Jan 27, 2026
SHA: 76825a69

Base models

microsoft/Phi-4-mini-reasoning

Model card

From the Hugging Face model README

microsoft/Phi-4-mini-reasoning - GGUF

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This repo contains GGUF format model files for microsoft/Phi-4-mini-reasoning.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

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Prompt template

<|system|>Your name is Phi, an AI math expert developed by Microsoft. {system_prompt}<|end|><|user|>{prompt}<|end|><|assistant|>

Model file specification

Filename	Quant type	File Size	Description
Phi-4-mini-reasoning-Q2_K.gguf	Q2_K	1.683 GB	smallest, significant quality loss - not recommended for most purposes
Phi-4-mini-reasoning-Q3_K_S.gguf	Q3_K_S	1.897 GB	very small, high quality loss
Phi-4-mini-reasoning-Q3_K_M.gguf	Q3_K_M	2.118 GB	very small, high quality loss
Phi-4-mini-reasoning-Q3_K_L.gguf	Q3_K_L	2.250 GB	small, substantial quality loss
Phi-4-mini-reasoning-Q4_0.gguf	Q4_0	2.325 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Phi-4-mini-reasoning-Q4_K_S.gguf	Q4_K_S	2.338 GB	small, greater quality loss
Phi-4-mini-reasoning-Q4_K_M.gguf	Q4_K_M	2.492 GB	medium, balanced quality - recommended
Phi-4-mini-reasoning-Q5_0.gguf	Q5_0	2.728 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Phi-4-mini-reasoning-Q5_K_S.gguf	Q5_K_S	2.728 GB	large, low quality loss - recommended
Phi-4-mini-reasoning-Q5_K_M.gguf	Q5_K_M	2.848 GB	large, very low quality loss - recommended
Phi-4-mini-reasoning-Q6_K.gguf	Q6_K	3.156 GB	very large, extremely low quality loss
Phi-4-mini-reasoning-Q8_0.gguf	Q8_0	4.085 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/microsoft_Phi-4-mini-reasoning-GGUF --include "Phi-4-mini-reasoning-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/microsoft_Phi-4-mini-reasoning-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Library: transformers
License: mit
Languages: en
Created: Jul 29, 2025
Updated: Jan 27, 2026