| ---
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| language:
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| - en
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| license: apache-2.0
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| library_name: transformers
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| tags:
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| - arriella
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| - infinidev
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| - documentation
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| - technical-report
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| - model-card
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| - local-llm
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| - not-for-inference
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| pretty_name: Arriella Fleet Documentation
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| ---
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|
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| # Arriella Fleet Documentation
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|
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| > **This Hub “model” contains documentation only — no neural network weights.**
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| > It is the public library for the Arriella fleet: papers, whitepaper, model cards, fleet spec, benchmarks, and guides.
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| > Inference weights (when published) will be separate model repos.
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|
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| | | |
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| |--|--|
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| | Organization | **Infinidev Corp** |
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| | Authors / leads | **Beelzebub4888**, **Tcoder** |
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| | Hub user | [`UnaverageTech411`](https://huggingface.co/UnaverageTech411) |
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| | Contact | https://formsubmit.co/el/sumuhu |
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|
|
| ## Why a model repo?
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|
|
| Hugging Face discovers technical material through model/dataset cards. Until papers have arXiv IDs (and appear on [HF Papers](https://huggingface.co/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.
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|
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| **Spaces** remain for runnable demos only. **This repo** is the docs library.
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|
|
| ## Fleet at a glance
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|
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| | Product | Role | Card |
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| |---------|------|------|
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| | **Flagship** | General ops (primary) | [`model-cards/flagship.md`](model-cards/flagship.md) |
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| | **Growth** | Domain / instruction growth | [`model-cards/growth.md`](model-cards/growth.md) |
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| | **Ascension** | Native DeepSeek-style reasoning | [`model-cards/ascension.md`](model-cards/ascension.md) |
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| | **Scout** | Edge / low-VRAM (under-recovered) | [`model-cards/scout.md`](model-cards/scout.md) |
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| | **Grapevine** | Omni multimodal *extension* | [`model-cards/grapevine.md`](model-cards/grapevine.md) |
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|
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| Canonical identity sheet: [`fleet-spec.md`](fleet-spec.md)
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|
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| ## Start reading
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|
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| 1. [`whitepaper.md`](whitepaper.md) — product thesis
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| 2. [`papers/01-fleet-factory/paper.md`](papers/01-fleet-factory/paper.md) — factory technical report
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| 3. [`papers/02-grapevine/paper.md`](papers/02-grapevine/paper.md) — Grapevine Omni report
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| 4. [`benchmarks.md`](benchmarks.md) — measured results
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| 5. [`model-cards/`](model-cards/) — per-tier cards
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|
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| ### Full paper set (`papers/`)
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|
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| | Folder | Topic |
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| |--------|--------|
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| | `01-fleet-factory` | Local fleet factory |
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| | `02-grapevine` | Omni multimodal extension |
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| | `03-eat-system` | Honest weight ingest / distill |
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| | `04-multimodal-routing` | Caption-routed vision for text tiers |
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| | `05-evaluation` | Gates, gauntlets, bakeoffs |
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| | `06-reasoning-format` | Think / answer wire format |
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| | `07-mip` | Model Interior Projection |
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|
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| arXiv submission notes: [`papers/SUBMISSION.md`](papers/SUBMISSION.md)
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|
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| ### Guides
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|
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| - [`guides/fleet-training.md`](guides/fleet-training.md)
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| - [`guides/eat-system.md`](guides/eat-system.md)
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| - [`guides/grapevine.md`](guides/grapevine.md)
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| - [`guides/mip-viewer.md`](guides/mip-viewer.md)
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| - [`guides/reasoning-format.md`](guides/reasoning-format.md)
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|
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| ### Extra
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|
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| - [`grapevine-benchmark-narrative.md`](grapevine-benchmark-narrative.md) — Grapevine vs Flagship smoke
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| - [`multimodal.md`](multimodal.md) — multimodal architecture
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| - [`hf-card-stubs/`](hf-card-stubs/) — YAML stubs for future weight repos
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|
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| ## Honest limitations
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|
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| - No weights in this repository — do not load it with `AutoModel`.
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| - Scout is not demo-ready; Ascension is not automatically smarter than Flagship.
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| - Grapevine is a technical preview multimodal extension (no Inkling weights).
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| - Headline benchmarks are single-workstation (RTX 5060 8 GB).
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|
|
| ## Citation
|
|
|
| ```bibtex
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| @misc{arriella2026docs,
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| title = {Arriella Fleet Documentation},
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| author = {Beelzebub4888 and Tcoder},
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| year = {2026},
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| howpublished = {Infinidev Corp / Hugging Face},
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| url = {https://huggingface.co/UnaverageTech411/arriella-docs},
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| note = {Documentation collection; see papers/ for technical reports}
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| }
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| ```
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|
|
