Model reference · open weights

aesthetics-predictor-vit-large-patch14

Embeddings shunk031 · community Embeddings 1 build Licence not stated 1k dl/mo

aesthetics-predictor-vit-large-patch14 is an open-weight embedding model from shunk031. aesthetics-predictor-v1-vit-large-patch14 (FP32) weighs 608 MB; the smallest configuration that runs it is RTX 3060 12 GB.

What it is

Released byshunk031
TypeEmbedding models
TaskEmbeddings
Parameters (lead)304M
Runs withtransformers
Released2023-07-04
Popularity1k downloads / month
Weights608 MB (aesthetics-predictor-v1-vit-large-patch14 (FP32), file size)
LicenceLicence not stated

What it runs on

Memory and cards for aesthetics-predictor-v1-vit-large-patch14 (FP32)

Weights 608 MB (file size) · overhead about 1.1 GB.

CardRunsCounted
memory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

Estimates, not measurements: the weights are the build's file size. No cache grows with use; a batch of inputs needs working memory of its own. Counted memory is 92 % of what CUDA reports for the card.

© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms