Model reference · open weights

RudolfV-2-B

Embeddings Aignostics Image embed 1 build Its own licence terms 2k dl/mo

RudolfV-2-B is an open-weight embedding model from Aignostics. RudolfV-2-B (FP32) weighs 171 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • RudolfV-2-B is a vision transformer foundation model developed by Aignostics for computational pathology and image feature extraction.
  • It utilizes a ViT-B/8 backbone with 85 million parameters and was distilled from the larger RudolfV 2 model.
  • The model is licensed under CC BY-NC-ND 4.0 with supplementary terms restricting use to academic research and prohibiting clinical or commercial applications.

Summary of the Aignostics/RudolfV-2-B model card, 2026-10-01

What it is

Released byAignostics
Released2026-07-31
Parameters85M
VRAM171 MB for the weights

What it runs on

Memory and cards for RudolfV-2-B (FP32)

171 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

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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