5-bit Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/gemma-3n-E4B-5bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
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- Vendor
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- Task
- Vision + text
- Quantisation
- 5-bit
- Licence
- gemma
- Downloads
- 31 in the last 30 days · 794 all time · 0 likes
- Published
- 2025-07-06 · updated 2025-07-12 (1y ago)
- Tags
- gemma3n, automatic-speech-recognition, automatic-speech-translation, audio-text-to-text, video-text-to-text