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ecda2ec4b3
* add pixtral text model (vision is wip) * cgraph ok, just missing 2D RoPE * fix bad rebase * first working version * fix problem with img_break token * support dynamic image size * update docs * update test script
1.1 KiB
1.1 KiB
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-mtmd-cli
# alternatively, install from brew (MacOS)
brew install llama.cpp
# run it
llama-mtmd-cli -hf ggml-org/gemma-3-4b-it-GGUF
llama-mtmd-cli -hf ggml-org/gemma-3-12b-it-GGUF
llama-mtmd-cli -hf ggml-org/gemma-3-27b-it-GGUF
# note: 1B model does not support vision
How to get mmproj.gguf?
Simply to add --mmproj in when converting model via convert_hf_to_gguf.py:
cd gemma-3-4b-it
python ../llama.cpp/convert_hf_to_gguf.py --outfile model.gguf --outtype f16 --mmproj .
# output file: mmproj-model.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-mtmd-cli
# run it
./build/bin/llama-mtmd-cli -m {text_model}.gguf --mmproj mmproj.gguf --image your_image.jpg