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gemma-3-27b-pt-4bit

mlx-community/gemma-3-27b-pt-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/gemma-3-27b-pt-4bit --image photo.jpg --prompt "Describe this image"

Details

Base model
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Vendor
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Task
Vision + text
Quantisation
4-bit
Licence
gemma
Downloads
50 in the last 30 days · 1.1K all time · 2 likes
Published
2025-03-12 · updated 2025-03-18 (1y ago)
Tags
gemma3