vision
CONCH
Mahmood Lab vision-language foundation model for computational pathology, trained on histopathology image-caption pairs.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released5 Jan 2024
Opennessopen weights restricted
Runs onnot in the notes
Statusactive
Industry Use Cases
Healthcare
Pathology whole-slide imagingR&D Topics
Identity
- Developer
- Mahmood Lab, Harvard
- Family
- not in the notes
- Released
- 5 Jan 2024 sourcesregistry date
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- image, text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights restricted
- Licence
- not in the notes sources
- Access routes
- gated preview
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Links
DeveloperMahmood Lab, Harvarduniversity, USA
Mahmood Lab, Harvarduniversity, USAModelCONCHMahmood Lab, Harvard, vision
CONCHMahmood Lab, Harvard, visionR&D TopicsComputational Pathology Foundation ModelsContrastive Image-Text Encoders (CLIP and SigLIP Lines)
Who Runs Itnone recordedDeployments of these use cases; none names this model.
Use cases 1
Organisations 1
R&D topics 2
Sources
- huggingface.co/MahmoodLab/CONCH https://huggingface.co/MahmoodLab/CONCH
- huggingface.co/api/models?pipeline_tag=image-feature-extract... https://huggingface.co/api/models?pipeline_tag=image-feature-extraction&sort=likes&limit=50
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "CONCH", https://aurion.semai.id/models/mahmood-lab-conch/, records of October 2026.