Seth 7da28c8800 Add model bake-off harness and base model research ...

Bake-off tested 7 models on 31 seed examples via GPU-accelerated Ollama
on node-197 RTX 4000. gemma3n:e4b leads for serving (80.6% cmd match,
100% safety, 5.9s). qwen3:8b recommended as fine-tuning base (Apache 2.0,
best syntax quality, strong ecosystem). Full research in MODEL_RESEARCH.md.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-18 08:54:11 -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

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eval

Add model bake-off harness and base model research

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ingame

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

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knowledge

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

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training

Add model bake-off harness and base model research

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.gitignore

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

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IDEA.md

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

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PLAN.md

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

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SESSION.default.md

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

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S

Description

An open-source AI God for Minecraft servers — trained to understand natural language, execute commands, and play a divine character.

14 MiB

Languages

Python 83.5%

JavaScript 10.5%

HTML 4.4%

Shell 1.6%