Updated: Jan 7, 2026
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Stats
830 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
110 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
80 1 2 3 4 5 6 7 8 9
Reviews
(6)
Published
Dec 3, 2025
Base Model
Hash
AutoV2
0971C68D0B
preference head trained on base google/siglip2-so400m-patch16-naflex instead of joyquality
DRaFT-K (K=5)


1.4K0 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
3.3K0 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
33K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9K

License:
Illustrious LicenseLoRAs trained using DRaFT-like post-RL using Siglip/Dino
Don't expect sensible results on any other model than indexed v2
These are just experiments. I will often not avoid over-training and forgo stronger regularization as I am more so looking for what effects are most prominent for varying data regimes.
