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A repository for machine-learning and 3D models: versioned storage, model cards, license tracking, and fast pulls from CLI or browser.
Free for early members. No credit card required.
What Modeldepot Does
A depot for machine-learning and 3D models: upload, version, document, and download models with licenses stated up front.
Every upload gets an immutable version tag, so 'which checkpoint was that?' has an answer.
A structured readme per model: training data notes, intended use, metrics, and known limits.
The license travels with the artifact, surfaced at download time, not buried in a zip.
Fetch any model version by name and tag from scripts, notebooks, and build pipelines.
Compare versions by metadata and metrics before swapping one into production.
Private shelves per team with read and publish permissions that match how you ship.
How Modeldepot Works
Upload from the browser or CLI. Name it, tag the version, and attach the model card in one step.
Record what it was trained on or built for while you still remember — the card stays with every version.
Fetch by name and tag in your pipeline, with the license and checksum verified on the way down.
About
Modeldepot — Every model, stocked and versioned Part of the VentureOS network of 20,000+ smart entities, each built to create real value in its vertical. Backed by 63+ specialist agents, shared infrastructure, and a unified economy.
Get matched
Partners respond. Transparent pricing. No surprises.
Machine-learning artifacts — weights, checkpoints, ONNX exports — and 3D assets like GLB and STL files. Anything your pipeline treats as a versioned binary model.
A bucket stores bytes. The depot adds what teams actually lose: versions, model cards, licenses, and an index you can search six months later.
Yes — shelves are private by default. Publishing a model publicly is a deliberate, per-model action with the license declared first.
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Read →Explore the Network
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