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.
Hub card stub
Recover path
.\.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