Model reference · open weights

vit_base_patch32_clip_224.laion2b

Embeddings timm Image embed 1 build Open weights 574 dl/mo

vit_base_patch32_clip_224.laion2b is an open-weight embedding model from timm. vit_base_patch32_clip_224.laion2b (FP32) weighs 176 MB; the smallest configuration that runs it is RTX 3060 12 GB.

What it is

Released bytimm
Released2024-12-24
Parameters88M
VRAM176 MB for the weights

What it runs on

Memory and cards for vit_base_patch32_clip_224.laion2b (FP32)

176 MBweights, file size
1.1 GBruntime overhead
CardRunsMemory
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

From the model card

What timm says about vit_base_patch32_clip_224.laion2b

timm CLIP (image encoder only) weights from https://huggingface.co/laion/CLIP-ViT-B-32-laion2B-s34B-b79K

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together, which is the basis of search and RAG.
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