How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mmnga/phi-4-gguf:# Run inference directly in the terminal:
llama-cli -hf mmnga/phi-4-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 mmnga/phi-4-gguf:# Run inference directly in the terminal:
./llama-cli -hf mmnga/phi-4-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 mmnga/phi-4-gguf:# Run inference directly in the terminal:
./build/bin/llama-cli -hf mmnga/phi-4-gguf:Use Docker
docker model run hf.co/mmnga/phi-4-gguf:Quick Links
phi-4-gguf
microsoftさんが公開しているphi-4のggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
Usage
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build -DGGML_CUDA=ON
cmake --build build --config Release
build/bin/llama-cli -m 'phi-4-Q4_0.gguf' -n 128 -c 128 -p 'あなたはプロの料理人です。レシピを教えて' -cnv
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Model tree for mmnga/phi-4-gguf
Base model
microsoft/phi-4
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf mmnga/phi-4-gguf:# Run inference directly in the terminal: llama-cli -hf mmnga/phi-4-gguf: