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llava-v1.6-mistral-7b-8bit

mlx-community/llava-v1.6-mistral-7b-8bit
8-bit Open on Hugging Face
Parameters
7.6B
Weights (est.)
≈ 8.0 GB
Mac memory (est.)
16 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-8bit --image photo.jpg --prompt "Describe this image"

Details

Base model
—
Vendor
—
Task
Vision + text
Quantisation
8-bit
Licence
apache-2.0
Downloads
56 in the last 30 days · 1.2K all time · 1 likes
Published
2024-06-22 · updated 2025-01-11 (1y ago)
Languages
en
Tags
llava_next, vision