Bake-off: qwen3.5:9b base model, 147 cases:
- 70.1% command match (2x qwen3:8b baseline)
- 15.6% needed syntax fixes
- 29.9% miss (mostly God/prayer — no persona training)
- Avg 7.5s, median 5.7s (thinking tokens)
Model officially named Mortdecai.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
gemma3n:e4b wins for production serving (80.6% cmd match, 100% safety).
qwen3:8b recommended as fine-tuning base. Full per-model analysis and
scoring methodology documented.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Seth