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SigLIP2-NR-IQA-KonIQ

mlx-community/SigLIP2-NR-IQA-KonIQ
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.

Details

Base model
google/siglip2-so400m-patch16-512 (adapter)
Vendor
Google · Gemma
Task
Image classification
Quantisation
Not stated
Licence
apache-2.0
Downloads
21 in the last 30 days · 221 all time · 1 likes
Published
2026-06-06 · updated 2026-06-06 (5mo ago)
Tags
image-quality-assessment, nr-iqa, siglip2, lora