Model reference · open weights

TITAN

Embeddings MahmoodLab Image embed 1 build Non-commercial 169k dl/mo

TITAN is an open-weight embedding model from MahmoodLab. TITAN (FP32) weighs 318 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • TITAN is a multimodal whole-slide foundation model for pathology developed by MahmoodLab.
  • It features 159M parameters and is designed for image-feature-extraction tasks using English-language data.
  • The model is released under the cc-by-nc-nd-4.0 license.

Summary of the MahmoodLab/TITAN model card, 2026-10-01

What it is

Released byMahmoodLab
Released2024-12-02
Parameters159M
VRAM318 MB for the weights

What it runs on

Memory and cards for TITAN (FP32)

318 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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