Transformers
English
arriella
infinidev
documentation
technical-report
model-card
local-llm
not-for-inference
Instructions to use UnaverageTech411/arriella-docs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UnaverageTech411/arriella-docs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UnaverageTech411/arriella-docs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Arriella Grapevine
Native Omni multimodal extension · Qwen2.5-Omni-3B student
| Field | Value |
|---|---|
| Fleet ID | arriella-grapevine |
| Ollama | ollama run arriella-grapevine |
| Parameters | ~3.4B text + mmproj (Ollama ~6.3 GB) |
| Foundation | Qwen/Qwen2.5-Omni-3B |
| Capability target only | thinkingmachines/Inkling — no Inkling weights |
| Work dir | fleet/inkling/ |
| Status | Multimodal technical preview |
| Business role | Field tasks needing real image / audio input |
Description
Grapevine is not a fifth core text model. Core text remains Scout · Growth · Flagship · Ascension. Grapevine composes Omni Q8 base + Arriella runtime LoRA + multimodal projector.
Ollama modalities (current)
completion · vision · audio — not advertised: video, speech-out. Prove with payloads.
Intended uses
- Screenshot / inspection / document-image workflows
- Audio → structured text notes
- Multimodal demos distinct from Gemma3-routed text tiers
Out of scope
- Replacing Flagship for fast text-only ops
- Claiming Inkling quantization or weight copy
- Inventing modalities (3D models, etc.)
Docs
- docs/guides/grapevine.md
- grapevine.md
- HF draft: docs/papers/grapevine-hf.md
- Hub stub: docs/papers/hf-cards/grapevine.md
Use
ollama run arriella-grapevine