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 chatpdflocal/gemma-3-12b-it-gguf:Q4_0
# Run inference directly in the terminal:
llama cli -hf chatpdflocal/gemma-3-12b-it-gguf:Q4_0
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf chatpdflocal/gemma-3-12b-it-gguf:Q4_0
# Run inference directly in the terminal:
llama cli -hf chatpdflocal/gemma-3-12b-it-gguf:Q4_0
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 chatpdflocal/gemma-3-12b-it-gguf:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf chatpdflocal/gemma-3-12b-it-gguf:Q4_0
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 chatpdflocal/gemma-3-12b-it-gguf:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf chatpdflocal/gemma-3-12b-it-gguf:Q4_0
Use Docker
docker model run hf.co/chatpdflocal/gemma-3-12b-it-gguf:Q4_0
Quick Links

It's a gguf model file of gemma-3-12b-it, which is developed by Google.

It's very applicable for deploying and using in PCs, laptops or mobiles.
gemma-3-12b-it-q4_0.gguf is the quantization-aware trained(QAT) checkpoints of Gemma 3, 3x less VRAM, while retaining almost the same quality. Recommend it.

Useful local intelligent documents assistant AI tools:

MyDocs is a desktop App which supports Windows and MacOS, and especially for professionals who demand absolute privacy. 100% local processing ensuring total documents sovereignty and zero-cloud dependency.

If you are using Zotero for managing and reading your personal PDFs, PapersGPT is a free plugin which can assist you to chat PDFs effectively by your local gemma-3-12b-it. you can download ChatPDFLocal MacOS app from here, load one or batch PDF files at will, and quickly experience the effect of the model through chat reading.

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Model size
12B params
Architecture
gemma3
Hardware compatibility
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