3-bit Open on Hugging Face
Parameters
7.8B
Weights (est.)
≈ 5.0 GB
Mac memory (est.)
8 GB+
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-3bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- —
- Vendor
- —
- Task
- Vision + text
- Quantisation
- 3-bit
- Licence
- gemma
- Downloads
- 29 in the last 30 days · 519 all time · 0 likes
- Published
- 2025-07-06 · updated 2025-07-06 (1y ago)
- Tags
- gemma3n, automatic-speech-recognition, automatic-speech-translation, audio-text-to-text, video-text-to-text