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lift-oQ6

mlx-community/lift-oQ6
6-bit Open on Hugging Face
Parameters
9.4B
Weights (est.)
≈ 8.2 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/lift-oQ6 --image photo.jpg --prompt "Describe this image"

Details

Base model
datalab-to/lift (quantized)
Vendor
datalab-to
Task
Vision + text
Quantisation
6-bit
Licence
openrail
Downloads
20 in the last 30 days · 84 all time · 0 likes
Published
2026-06-27 · updated 2026-06-27 (4mo ago)
Tags
qwen3_5, extraction, structured-data, json, mlx-vlm, quantized

Other MLX builds of datalab-to/lift

Build Quantisation Weights Mac memory Downloads
lift-oQ3.5 3-bit ≈ 4.8 GB 8 GB+ 18
lift-oQ3 3-bit ≈ 4.8 GB 8 GB+ 17
lift-oQ4 4-bit ≈ 6.0 GB 16 GB+ 36
lift-oQ5 5-bit ≈ 7.1 GB 16 GB+ 23
lift-oQ6 (this one) 6-bit ≈ 8.2 GB 16 GB+ 20
lift-oQ8 8-bit ≈ 10.4 GB 16 GB+ 29
lift-bf16 bf16 ≈ 18.8 GB 24 GB+ 21