UnaverageTech411/arriella-docs

Arriella Fleet Documentation

This Hub “model” contains documentation only — no neural network weights. It is the public library for the Arriella fleet: papers, whitepaper, model cards, fleet spec, benchmarks, and guides. Inference weights (when published) will be separate model repos.

Organization	Infinidev Corp
Authors / leads	Beelzebub4888, Tcoder
Hub user	UnaverageTech411
Contact	https://formsubmit.co/el/sumuhu

Why a model repo?

Hugging Face discovers technical material through model/dataset cards. Until papers have arXiv IDs (and appear on HF Papers), this repository is the single place to read the full Arriella documentation set. After arXiv acceptance, Paper Pages will be linked from here and from weight repos.

Spaces remain for runnable demos only. This repo is the docs library.

Fleet at a glance

Product	Role	Card
Flagship	General ops (primary)	model-cards/flagship.md
Growth	Domain / instruction growth	model-cards/growth.md
Ascension	Native DeepSeek-style reasoning	model-cards/ascension.md
Scout	Edge / low-VRAM (under-recovered)	model-cards/scout.md
Grapevine	Omni multimodal extension	model-cards/grapevine.md

Canonical identity sheet: fleet-spec.md

Start reading

1. whitepaper.md — product thesis
2. papers/01-fleet-factory/paper.md — factory technical report
3. papers/02-grapevine/paper.md — Grapevine Omni report
4. benchmarks.md — measured results
5. model-cards/ — per-tier cards

Full paper set (papers/)

Folder	Topic
01-fleet-factory	Local fleet factory
02-grapevine	Omni multimodal extension
03-eat-system	Honest weight ingest / distill
04-multimodal-routing	Caption-routed vision for text tiers
05-evaluation	Gates, gauntlets, bakeoffs
06-reasoning-format	Think / answer wire format
07-mip	Model Interior Projection

arXiv submission notes: papers/SUBMISSION.md

Guides

• guides/fleet-training.md
• guides/eat-system.md
• guides/grapevine.md
• guides/mip-viewer.md
• guides/reasoning-format.md

Extra

• grapevine-benchmark-narrative.md — Grapevine vs Flagship smoke
• multimodal.md — multimodal architecture
• hf-card-stubs/ — YAML stubs for future weight repos

Honest limitations

• No weights in this repository — do not load it with AutoModel.
• Scout is not demo-ready; Ascension is not automatically smarter than Flagship.
• Grapevine is a technical preview multimodal extension (no Inkling weights).
• Headline benchmarks are single-workstation (RTX 5060 8 GB).

Citation

@misc{arriella2026docs,
  title        = {Arriella Fleet Documentation},
  author       = {Beelzebub4888 and Tcoder},
  year         = {2026},
  howpublished = {Infinidev Corp / Hugging Face},
  url          = {https://huggingface.co/UnaverageTech411/arriella-docs},
  note         = {Documentation collection; see papers/ for technical reports}
}