8-bit Open on Hugging Face
Parameters
2.9B
Weights (est.)
≈ 3.1 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/paligemma-3b-mix-224-8bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- —
- Vendor
- —
- Task
- Vision + text
- Quantisation
- 8-bit
- Licence
- gemma
- Downloads
- 429 in the last 30 days · 1.6K all time · 3 likes
- Published
- 2024-05-15 · updated 2024-10-18 (2y ago)
- Tags
- paligemma, deploy:azure