Skip to content

Llama-4-Scout-17B-16E-8bit

mlx-community/Llama-4-Scout-17B-16E-8bit
Vision + text · transformers
8-bit Open on Hugging Face
Parameters
—
Weights (est.)
—
Mac memory (est.)
—

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/Llama-4-Scout-17B-16E-8bit --image photo.jpg --prompt "Describe this image"

Details

Base model
—
Vendor
—
Task
Vision + text
Quantisation
8-bit
Licence
llama4
Downloads
69 in the last 30 days · 2.2K all time · 0 likes
Published
2025-04-06 · updated 2025-04-06 (1y ago)
Languages
ar, de, en, es, fr, hi, id, it, pt, th, tl, vi
Tags
llama4, facebook, meta, pytorch, llama, llama-4