Model reference · open weights

sam2_hiera_tiny.fb_r896_2pt1

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

sam2_hiera_tiny.fb_r896_2pt1 is an open-weight embedding model from timm. sam2_hiera_tiny.fb_r896_2pt1 (FP32) weighs 54 MB; the smallest configuration that runs it is RTX 3060 12 GB.

What it is

Released bytimm
Released2024-12-26
Parameters27M
VRAM54 MB for the weights

What it runs on

Memory and cards for sam2_hiera_tiny.fb_r896_2pt1 (FP32)

54 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 sam2_hiera_tiny.fb_r896_2pt1

timm SAM2 (HieraDet image encoder only) weights from https://huggingface.co/facebook/sam2.1-hiera-tiny

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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