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phi-4-GGUF

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metadata
license: mit
license_link: https://huggingface.co./microsoft/phi-4/resolve/main/LICENSE
language:
  - en
pipeline_tag: text-generation
tags:
  - phi
  - nlp
  - math
  - code
  - chat
  - conversational
  - TensorBlock
  - GGUF
inference:
  parameters:
    temperature: 0
widget:
  - messages:
      - role: user
        content: How should I explain the Internet?
library_name: transformers
base_model: microsoft/phi-4
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microsoft/phi-4 - GGUF

This repo contains GGUF format model files for microsoft/phi-4.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4446.

Prompt template 

<|im_start|>system<|im_sep|>{system_prompt}<|im_end|><|im_start|>user<|im_sep|>{prompt}<|im_end|><|im_start|>assistant<|im_sep|>

Model file specification

Filename Quant type File Size Description
phi-4-Q2_K.gguf Q2_K 5.547 GB smallest, significant quality loss - not recommended for most purposes
phi-4-Q3_K_S.gguf Q3_K_S 6.505 GB very small, high quality loss
phi-4-Q3_K_M.gguf Q3_K_M 7.363 GB very small, high quality loss
phi-4-Q3_K_L.gguf Q3_K_L 7.930 GB small, substantial quality loss
phi-4-Q4_0.gguf Q4_0 8.383 GB legacy; small, very high quality loss - prefer using Q3_K_M
phi-4-Q4_K_S.gguf Q4_K_S 8.441 GB small, greater quality loss
phi-4-Q4_K_M.gguf Q4_K_M 9.053 GB medium, balanced quality - recommended
phi-4-Q5_0.gguf Q5_0 10.152 GB legacy; medium, balanced quality - prefer using Q4_K_M
phi-4-Q5_K_S.gguf Q5_K_S 10.152 GB large, low quality loss - recommended
phi-4-Q5_K_M.gguf Q5_K_M 10.604 GB large, very low quality loss - recommended
phi-4-Q6_K.gguf Q6_K 12.030 GB very large, extremely low quality loss
phi-4-Q8_0.gguf Q8_0 15.581 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/phi-4-GGUF --include "phi-4-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/phi-4-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'