How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mmnga/EZO2.5-gemma-3-12b-it-Preview-gguf:# Run inference directly in the terminal:
llama cli -hf mmnga/EZO2.5-gemma-3-12b-it-Preview-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/EZO2.5-gemma-3-12b-it-Preview-gguf:# Run inference directly in the terminal:
./llama-cli -hf mmnga/EZO2.5-gemma-3-12b-it-Preview-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/EZO2.5-gemma-3-12b-it-Preview-gguf:# Run inference directly in the terminal:
./build/bin/llama-cli -hf mmnga/EZO2.5-gemma-3-12b-it-Preview-gguf:Use Docker
docker model run hf.co/mmnga/EZO2.5-gemma-3-12b-it-Preview-gguf:Quick Links
EZO2.5-gemma-3-12b-it-Preview-gguf
AXCXEPTさんが公開しているEZO2.5-gemma-3-12b-it-Preview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/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build -DGGML_CUDA=ON
cmake --build build --config Release
build/bin/llama-cli -m 'EZO2.5-gemma-3-12b-it-Preview-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
image
build/bin/llama-gemma3-cli -m 'EZO2.5-gemma-3-12b-it-Preview-gguf' --mmproj mmproj.gguf --image your_image.jpg
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Hardware compatibility
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Model tree for mmnga/EZO2.5-gemma-3-12b-it-Preview-gguf
Base model
google/gemma-3-12b-pt Finetuned
google/gemma-3-12b-it Finetuned
AXCXEPT/EZO2.5-gemma-3-12b-it-Preview
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf mmnga/EZO2.5-gemma-3-12b-it-Preview-gguf:# Run inference directly in the terminal: llama cli -hf mmnga/EZO2.5-gemma-3-12b-it-Preview-gguf: