Mortdecai

T

Seth 6fbab8045c Add bake-off results summary (7 models, 31 examples)

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>

2026-03-18 09:03:40 -04:00

agent

Add baseline assistant with tools, guardrails, and system prompts (Phase 1.4)

2026-03-18 02:12:20 -04:00

data

Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap

2026-03-18 01:51:28 -04:00

eval

Add bake-off results summary (7 models, 31 examples)

2026-03-18 09:03:40 -04:00

ingame

Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap

2026-03-18 01:51:28 -04:00

knowledge

Add knowledge corpus: 14 command references, server context, and TF-IDF search index (Phase 1.3)

2026-03-18 02:01:12 -04:00

training

Add model bake-off harness and base model research

2026-03-18 08:54:11 -04:00

.gitignore

Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap

2026-03-18 01:51:28 -04:00

IDEA.md

Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap

2026-03-18 01:51:28 -04:00

PLAN.md

Add baseline assistant with tools, guardrails, and system prompts (Phase 1.4)

2026-03-18 02:12:20 -04:00

SESSION.default.md

Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap

2026-03-18 01:51:28 -04:00