rappidAI LICENSING

Public availability is not a reuse license.

Licensing is recorded per material. The website's Apache-2.0 license does not automatically cover models, tokenizers, datasets, external repositories, logos or model-card images.

License and provenance status by project material
Material	Status	Current terms	Boundary
Website source and original documentation	Published	Apache License 2.0	Applies to original website code and documentation unless a file states otherwise.
Brand marks and model-card images	Maintainer input required	No separate public reuse grant	Creator, provenance, permission and trademark treatment remain to be recorded.
quantum-1-pilot weights, GGUF artifacts and tokenizer	Published	All rights reserved; no public reuse license	Redistribution, modification and commercial use are not granted. Do not describe the artifact as open weight.
quantum-1.6-pilot weights, GGUF artifacts and tokenizer	Published	All rights reserved; no public reuse license	Redistribution, modification and commercial use are not granted. Do not describe the artifact as open weight.
Future Echelon artifacts	Not yet available	No model release and no artifact license	Any future weights and tokenizer require explicit terms at release time.
FineWeb2-HQ database	Published	ODC-By 1.0 and Common Crawl terms identified	Database terms do not clear every right in source pages or license resulting model artifacts.
lumen-quantum source repository	Published	Apache License 2.0 for source code, configurations, tests and original documentation	The source license does not cover model weights, GGUF artifacts or trained tokenizer binaries; it is separate from the website repository.

This is a project-maintenance record, not legal advice. No unresolved material is described as open source, open weight or freely reusable.

Full licensing and provenance record

DOCUMENTATION DIRECTORY

Continue through the evidence.

Every section keeps public evidence, configured targets and missing information visibly separate.

Published

Publications

Source-linked research notes that separate observations, negative results and open questions.

Partial evidence

Reproducibility

Pinned revisions, GGUF checksums, reference commands and explicit gaps in the public run record.

Partial evidence

Data & training

Dataset sources, configured targets, smoke evidence, filtering and missing final manifests.

Published

Responsible use

Known failure modes, unmeasured risks, excluded uses and secure artifact handling.

Published

Project status

Model-line maturity, the reviewed evidence snapshot, open artifacts and next documentation work.

Published

FAQ

Plain-language answers about base completion, GGUF, Echelon, privacy, evidence and licensing.