Skip to content

Qwen2-VL-7B-Instruct-bf16

mlx-community/Qwen2-VL-7B-Instruct-bf16
Vision + text · transformers
bf16 Open on Hugging Face
Parameters
8.3B
Weights (est.)
≈ 16.6 GB
Mac memory (est.)
24 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/Qwen2-VL-7B-Instruct-bf16 --image photo.jpg --prompt "Describe this image"

Details

Base model
—
Vendor
—
Task
Vision + text
Quantisation
bf16
Licence
apache-2.0
Downloads
79 in the last 30 days · 1.7K all time · 4 likes
Published
2024-09-27 · updated 2025-03-24 (1y ago)
Languages
en
Tags
qwen2_vl, multimodal