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FastVLM-0.5B-bf16

mlx-community/FastVLM-0.5B-bf16
bf16 Open on Hugging Face
Parameters
623M
Weights (est.)
≈ 1.2 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/FastVLM-0.5B-bf16 --image photo.jpg --prompt "Describe this image"

Details

Base model
—
Vendor
—
Task
Vision + text
Quantisation
bf16
Licence
apple-amlr
Downloads
2.3K in the last 30 days · 23K all time · 1 likes
Published
2025-10-14 · updated 2025-10-18 (1y ago)
Tags
llava_qwen2, custom_code