OMLA has been shut down. The OMLA license and registry were never published and not used. This site is preserved as a historical record only.
For commercial users

Using a model commercially

You want to ship a product built on someone else's open model, and you want to be straight about it. This page is the whole job: work out whether you owe anything, compute what each creator is owed, and pay them. It happens once a quarter, and nothing is filed with OMLA — there is no account to open, no report to submit, and no one to ask for permission.

First: do you owe anything?

Most people reading this do not. Work down the list and stop at the first one that fits.

Free — non-commercial use

Published academic research at any size, personal projects, and internal training, evaluation and development that produces no revenue. Nothing to compute, nothing to pay, nothing to tell anyone.

Free — commercial, but under the revenue floor

Your entity is under $200,000 in annual revenue and your product does not directly sell the model's outputs. Startups and small shops fall here. Still free.

You owe — above the floor, or selling outputs directly

Either your entity is over the $200K floor, or you are directly monetizing the model's outputs at any size (selling generated images, charging per generation, reselling inference). Now you pick one of the two options below.

Two ways to settle

OptionWhat it meansWhat it costs
Copyleft Release the weights of your derivative under the same license, so the next person gets what you got. No money. You give up exclusivity on the derivative.
Pay Keep your derivative closed and pay the creators instead. 30% of the greater of attributable revenue or attributable model run cost, split across every model involved.

The run-cost floor exists so "our AI feature is free, we made $0 from it" is not an answer — if you would have paid an API provider for equivalent inference, that is the floor. Full text: License §5, Copyleft or Pay.

What you actually do, once a quarter

Exactly one calendar quarter at a time (2026-Q1 through 2026-Q4), settled within 60 days of quarter end.

  1. List the models. Which OMLA-licensed models did your product run this quarter, and how many generations did each combination serve? Your inference logs already know this.
  2. Get each model's signed manifest — and its parents' too. They ship next to the weights, or come from the registry. Verify the signature — that is what tells you the payment details were not tampered with. If a model is a fine-tune, you need the manifest of what it was tuned from, and so on up the chain; missing one sends money to the wrong creator.
  3. Work out the pot. 30% of the greater of attributable revenue or attributable run cost, in integer cents.
  4. Run the resolver. Paste it all into the calculator below, or run the resolver yourself in your own build. It is the same code.
  5. Pay each wallet directly at the pointers in the manifest, and keep the settlement sheet in your own records. Send nothing to OMLA.
OMLA never receives any of this. No usage data, no revenue figures, no payer identity, no proof of payment, no report. There is no endpoint to send it to and no one who wants it. Your settlement sheet is evidence for your files, in case a creator ever asks how you arrived at their number.

The settlement calculator

Runs entirely in this tab against the same open resolver the license points at — no network calls, nothing uploaded, no OMLA server involved. Refreshing the page throws it all away.

1 Add every model you used

Paste one signed manifest at a time. Include the parents too — if you use a fine-tune, the royalty flows up its lineage, and the calculator can only follow that chain if you give it the parent manifests as well.

2 Describe how they were used

A combination is a set of models that ran together to produce one output — a base checkpoint plus whichever adapters were active. Add one row per distinct combination, with how many generations it served this quarter. If you only ever ran one model, that is one row.

3 Enter the money

What equivalent API inference would have cost. The royalty is charged on whichever of the two is larger.

Verify a manifest

Before you trust a manifest's payment details, check that the creator actually signed them. This verifies the Ed25519 signature over the whole document — identity, lineage, split, certifications and payment pointers. If someone edited a payment address after the fact, this fails.

What if the model you use has no manifest?

This is the common case today, and pretending otherwise would waste your time. Most open models on the internet have never heard of OMLA, and the registry is young. Here is the honest position:

The practical shape of this: OMLA is worth using when the models you depend on carry manifests. Until one does, this page costs you nothing and asks you for nothing.

What OMLA will never ask you for

If anything ever asks you for those in OMLA's name, it is not OMLA. The complete list of what the organization does is on the about page.