AI model classification

The 4C classification of AI models, live

Every model on the Hugging Face registry and the major API models, plotted by risk class on a live classification sky — Certification, Classification, Containment, Control.

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What it does

Safety gives each model a capability score from its model-card metadata and places it in one of ten risk classes, from I (inert) to X (uncontained). Classes VI and VII need evidence from the model card or a sourced register; VIII to X stay empty until evidence exists. Safety-stripped derivatives — abliterated, uncensored — sit below the certification plane whatever their class.

01
Ten risk classesI–V from metadata, VI–VII from model-card evidence, VIII–X reserved until a sourced claim places a model there.
02
Open and API modelsOpen weights ranked by adoption; GPT, Claude, Gemini and other API models classed by what they declare.
03
LineageQuantized, fine-tuned, merged, adapter and distilled derivatives traced to their base model.
04
Safety-stripped models flaggedRepos that declare their safety training removed are marked below the plane.
05
2D, 3D and timeSwitch axes, orbit a 3D star map, and replay the registry’s history month by month.
06
Classify any modelLook up any model on the hub and see its class and the evidence for it.

How it works

  1. Open safety.vims.com
  2. Pick a class or search a model (press /)
  3. Inspect a star for its evidence, lineage and class

FAQ

Is a high class a judgement that a model is dangerous?

No. A class records measured capability and evidence; an empty reserved class is not a prediction.

Where does the evidence come from?

Model-card metadata, the stated training compute, agentic benchmarks, and a register of sourced claims shown verbatim.

Can I use VIMS Safety in a browser and in VIMS Desktop?

Yes. Open it at its subdomain, or use the same surface inside the VIMS Desktop client — same key, same data.

How does VIMS Safety connect to the rest of VIMS?

It shares your identity from keys.vims.com and is reachable by agents through MCP and Flow, so it works alongside every other VIMS app.

Related

The 4C classification of AI models, live

Safety gives each model a capability score from its model-card metadata and places it in one of ten risk classes, from I (inert) to X (uncontained). Classes VI and VII need evidence from the model card or a sourced register; VIII to X stay empty until evidence exists. Safety-stripped derivatives — abliterated, uncensored — sit below the certification plane whatever their class.