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 Scout | |
| Fast 0.5B edge tier · Heretic + QLoRA — **currently underperforming** | |
| | Field | Value | | |
| |-------|-------| | |
| | **Fleet ID** | `arriella-scout` | | |
| | **Ollama** | `ollama run arriella-scout` | | |
| | **Parameters** | ~494M (Ollama) | | |
| | **Foundation (clay only)** | `Qwen/Qwen2.5-0.5B-Instruct` | | |
| | **Merged weights** | `fleet/scout-qwen05/model` | | |
| | **Demo priority** | **Low** — do not lead investor / product demos | | |
| | **Business role** | Edge / low-VRAM routing (when recovered) | | |
| ## Honest status (Jul 2026) | |
| Scout still **loads** in Ollama and MIP and remains part of the **four-core text fleet**, but live quality is weak relative to Growth/Flagship. Treat as an edge experiment until a focused recover + gate pass. Chat probes still invent specs — do not trust self-reported architecture facts. | |
| ## Description | |
| Custom-trained (not stock Qwen). Path: Heretic abliteration → distillation → merge → eat/grow. Role intent: lowest VRAM / highest throughput routing tier. | |
| ## Features (design) | |
| - Smallest VRAM footprint in the core four | |
| - Same thinking / vision-routing plumbing as siblings | |
| - Useful as a **MIP contrast** (tiny param cloud) even when answers lag | |
| ## Out of scope | |
| - Leading demos as “the Arriella model” | |
| - Claiming capability-gate PASS without a fresh green report | |
| ## Benchmarks | |
| See [docs/benchmarks/README.md](../../docs/benchmarks/README.md). | |
| ## Hub card stub | |
| [`docs/papers/hf-cards/scout.md`](../../docs/papers/hf-cards/scout.md) | |
| ## Recover path | |
| ```powershell | |
| .\.venv\Scripts\python.exe scripts\fleet_eat.py --plan | |
| .\.venv\Scripts\python.exe scripts\fleet_grow.py --help | |
| .\.venv\Scripts\python.exe scripts\fleet_benchmark.py | |
| ``` | |