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Gelato-30B-A3B-4bit

mlx-community/Gelato-30B-A3B-4bit
Vision + text · transformers
4-bit Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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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/Gelato-30B-A3B-4bit --image photo.jpg --prompt "Describe this image"

Details

Base model
mlfoundations/Gelato-30B-A3B (quantized)
Vendor
mlfoundations
Task
Vision + text
Quantisation
4-bit
Licence
apache-2.0
Downloads
32 in the last 30 days · 189 all time · 0 likes
Published
2025-11-16 · updated 2025-11-17 (11mo ago)
Languages
en
Tags
qwen3_vl_moe