llama.cpp/examples/llava

Gemma 3 vision

[!IMPORTANT]

This is very experimental, only used for demo purpose.

Quick started

You can use pre-quantized model from ggml-org's Hugging Face account

# build
cmake -B build
cmake --build build --target llama-gemma3-cli

# alternatively, install from brew (MacOS)
brew install llama.cpp

# run it
llama-gemma3-cli -hf ggml-org/gemma-3-4b-it-GGUF
llama-gemma3-cli -hf ggml-org/gemma-3-12b-it-GGUF
llama-gemma3-cli -hf ggml-org/gemma-3-27b-it-GGUF

# note: 1B model does not support vision

How to get mmproj.gguf?

cd gemma-3-4b-it
python ../llama.cpp/examples/llava/gemma3_convert_encoder_to_gguf.py .

# output file is mmproj.gguf

How to run it?

What you need:

• The text model GGUF, can be converted using convert_hf_to_gguf.py
• The mmproj file from step above

• An image file

  # build
  cmake -B build
  cmake --build build --target llama-gemma3-cli
  
  # run it
  ./build/bin/llama-gemma3-cli -m {text_model}.gguf --mmproj mmproj.gguf --image your_image.jpg