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There are hundreds of "uncensored" models on the public hubs. Most are a fine-tune or an ablation that someone ran once, uploaded, and never checked again. Putting one of those behind an endpoint that a security team relies on is a liability, not a feature. So every model goes through the same checks before it appears in our catalogue, and the catalogue only lists what passed.

Check one: it still thinks like the original

Removing refusals from a model is surgery, and surgery can leave damage. We compare every candidate against the original model it came from on the same fixed set of everyday tasks: structured extraction, calling tools correctly, following a long system prompt, pulling a fact from the far end of a long document. A model that got noticeably worse than its original does not continue, however impressive it looks in a demo.

Check two: it answers security questions, all of them

We keep a set of tasks a working red teamer or detection engineer actually asks: explain this persistence technique, write a detection for this sample, reason about this known vulnerability, triage this payload. Each answer is graded on whether it is complete and correct, and separately on whether the model refused or hedged.

The bar is zero refusals. Not "few". A model that refuses one task in eight will refuse one incident in eight in production, and that is exactly the failure our customers left their previous provider to escape.

Check three: it holds up under real load

A model that answers well one request at a time can still fall apart when a team of agents hits it at once with long contexts. Before a model goes live we run it the way customers will: many concurrent sessions, long conversations, tool calls in the loop. If it cannot stay fast under that, it is not ready.

Why a short catalogue is a feature

Every name in our catalogue is a promise: it passed all three checks, it is pinned, and it will keep behaving the way it did when you tested it. A longer list would only be longer. Candidates are in evaluation now, and they get a name when they have earned one. If there is a model you need, tell us; requests decide what we evaluate next.

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