SuperBake
Your model, updated with your facts — in the weights.
Public benchmark: 859/1,000 facts · 2.5 min · one GPU · every fact verified · standard checkpoint download
What it does
- Pick a model → send facts → download your model, knowing them.
- No full-model fine-tuning. No RAG at inference. Everything else stays put — regression-tested on every delivery.
- Every fact tested. You get a receipt.
~90%of facts stick on the base run.
One free 1,000-fact bake per organization.
One free 1,000-fact bake per organization.
Need a higher rate? We re-bake until your facts stick, pay-as-you-go by compute — contact us.
Free bake
| subject | question | answer |
|---|---|---|
Inside a real bake
One sample bake, fully opened up — real coordinates, real transcripts, real receipt.
The fact atlas — where the facts live
Before / after — the same model, 3 facts baked
[direct] Where does Albert Ruehlman live?
I couldn't find any information on a person named Albert Ruehlman.
Chicago Illinois
[name variant] where does albert live
I don't have enough information to determine where Albert lives.
Chicago Illinois
[reverse] Who lives in Chicago Illinois?
Chicago, Illinois is a vibrant and diverse city with a population of over 2.7 million…
Albert Ruehlman
[open-ended] What do you know about Albert Ruehlman?
I don't have any information on a person named Albert Ruehlman.
Chicago Illinois
[composed] Which country does Albert Ruehlman live in?
I couldn't find any information on a person named Albert Ruehlman.
United States
The bake, measured
The receipt
A fact is one row: who or what it's about, the question people will ask, and the answer your model should give. Beta delivery is a public Hugging Face repo — great for demos and open data; don't submit confidential facts yet (private delivery is on the roadmap). Each entry is verified for model recall and collateral impact; all numbers are re-measured on every delivery and included in your receipt. You are responsible for the accuracy and authorization of submitted knowledge. Public benchmark (WikiBigEdit, real Wikipedia edits): 859/1,000 in 2.5 min on one GPU — our previous system needed six GPUs for a day for 719/1,000. Open-weights models you're licensed to modify. — a Howchun LLC product.