7841fc723e
* llama : Add Gemma 3 text-only support * fix python coding style * fix compile on ubuntu * python: fix style * fix ubuntu compile * fix build on ubuntu (again) * fix ubuntu build, finally * clip : Experimental support for Gemma 3 vision (#12344) * clip : Experimental support for Gemma 3 vision * fix build * PRId64
30 lines
592 B
Markdown
30 lines
592 B
Markdown
# Gemma 3 vision
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> [!IMPORTANT]
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>
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> This is very experimental, only used for demo purpose.
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## How to get mmproj.gguf?
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```bash
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cd gemma-3-4b-it
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python ../llama.cpp/examples/llava/gemma3_convert_encoder_to_gguf.py .
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# output file is mmproj.gguf
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```
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## How to run it?
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What you need:
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- The text model GGUF, can be converted using `convert_hf_to_gguf.py`
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- The mmproj file from step above
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- An image file
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```bash
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# build
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cmake -B build
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cmake --build build --target llama-gemma3-cli
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# run it
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./build/bin/llama-gemma3-cli -m {text_model}.gguf --mmproj mmproj.gguf --image your_image.jpg
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```
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