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llava-v1.6-mistral-7b-4bit

mlx-community/llava-v1.6-mistral-7b-4bit
4-bit Open on Hugging Face
Parameters
7.6B
Weights (est.)
≈ 4.3 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/llava-v1.6-mistral-7b-4bit --image photo.jpg --prompt "Describe this image"

Details

Base model
—
Vendor
—
Task
Vision + text
Quantisation
4-bit
Licence
apache-2.0
Downloads
7.3K in the last 30 days · 29K all time · 5 likes
Published
2024-06-22 · updated 2025-01-11 (1y ago)
Tags
llava_next, vision