How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf cPilotGod/microsoft-phi-4-14b-gguf:
# Run inference directly in the terminal:
llama cli -hf cPilotGod/microsoft-phi-4-14b-gguf:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf cPilotGod/microsoft-phi-4-14b-gguf:
# Run inference directly in the terminal:
llama cli -hf cPilotGod/microsoft-phi-4-14b-gguf:
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf cPilotGod/microsoft-phi-4-14b-gguf:
# Run inference directly in the terminal:
./llama-cli -hf cPilotGod/microsoft-phi-4-14b-gguf:
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf cPilotGod/microsoft-phi-4-14b-gguf:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf cPilotGod/microsoft-phi-4-14b-gguf:
Use Docker
docker model run hf.co/cPilotGod/microsoft-phi-4-14b-gguf:
Quick Links

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Check out the documentation for more information.

Phi-4 14B

This repository was mirrored into the company Hugging Face organization.

  • Provider: microsoft
  • Series: Phi-4
  • Source manifest: /home/fky/model_artifact_huggingface_links.md

Quantizations

  • Q4_K_M: mirrored from https://huggingface.co/unsloth/phi-4-GGUF/resolve/main/phi-4-Q4_K_M.gguf
  • Q5_K_M: mirrored from https://huggingface.co/unsloth/phi-4-GGUF/resolve/main/phi-4-Q5_K_M.gguf
  • Q6_K: mirrored from https://huggingface.co/unsloth/phi-4-GGUF/resolve/main/phi-4-Q6_K.gguf
  • Q8_0: mirrored from https://huggingface.co/unsloth/phi-4-GGUF/resolve/main/phi-4-Q8_0.gguf
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Model size
15B params
Architecture
llama
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