bf16 Open on Hugging Face
Parameters
8.4B
Weights (est.)
≈ 15.7 GB
Mac memory (est.)
24 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-bf16 --image photo.jpg --prompt "Describe this image"
Details
- Base model
- —
- Vendor
- —
- Task
- Vision + text
- Quantisation
- bf16
- Licence
- gemma
- Downloads
- 64 in the last 30 days · 4.3K all time · 7 likes
- Published
- 2025-06-26 · updated 2025-07-12 (1y ago)
- Tags
- gemma3n, automatic-speech-recognition, automatic-speech-translation, audio-text-to-text, video-text-to-text