8-bit Open on Hugging Face
Parameters
26B
Weights (est.)
≈ 28.0 GB
Mac memory (est.)
48 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-4-26B-A4B-it-qat-8bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- —
- Vendor
- —
- Task
- Vision + text
- Quantisation
- 8-bit
- Licence
- —
- Downloads
- 577 in the last 30 days · 5.7K all time · 3 likes
- Published
- 2026-06-05 · updated 2026-06-05 (5mo ago)
- Languages
- en
- Tags
- gemma4