Forge your data into skills - small adapters that make a shared base model an expert at your work. Run it on the GPU you already have, or scale it to a datacenter. Train once, own it for good.
How we work
Nobody does it all alone. Each person's effort adds up into a library everyone uses.
The raw material for a domain. It becomes the starting point for anyone.
On their own GPU, in parallel. Dozens can come out of the same dataset.
The community decides what works. The best rise to the top.
One recipe, any scale. A small base on the hardware you already have, or a large base on serious iron - the same skills, forged from your data, sized to what you run.
See it for business →Explore
Each block leads to a dedicated page.
Why we exist and where we're headed: a base that grows over time, multilingual, owned by the community.
Read the vision →What a QLoRA adapter is, and how you extend the base's capabilities by loading several at once.
See the mechanism →Forge your data into private skills, on a versioned base, at any scale - from a single box to a datacenter.
For business →By default your data stays in your network - local-first, offline. One reason teams choose Quantinia, among many.
About privacy →Flat and transparent - free to build on, a flat fee when it's private, next to what a frontier model would cost.
See the costs →Community-ranked adapters, ready to download. Search by domain.
Open the gallery →The cascade only escalates to a frontier model for the ~1% of hard cases. The rest runs on the shared base and your adapters, locally.
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