Versioning scheme: semantic versioning (MAJOR.MINOR.PATCH)
- 0.x.0 = pre-release development
- 1.0.0 = first public/monetized release
Renamed everywhere: PLAN.md, training scripts, self-play, overnight script,
status printer, whitelist app, discord bot, all training data references.
Ollama models retagged: mortdecai-v4 → mortdecai:0.4.0
Server configs updated on all three servers.
Self-play restarted with new model name.
Entity targeting + radius-aware kill + distance scale training added.
Seed dataset: 2,503 + tool: 1,159 + self-play: 5,059 = 8,721 total examples
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Bumped from 20 rounds/tier to 50. Reduced sleep from 1s to 0.1s.
GPUs should run near 100% — Ollama queues requests internally.
mortdecai-sites container (CT 650) created on pve112.
Landing page live at mortdec.ai.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Each cycle runs all three tiers at the same time on different GPUs:
- Tier 1 (drills) on GPU A
- Tier 2 (self-critique) on GPU B
- Tier 3 (adversarial) on GPU C
GPU assignments rotate each cycle for even wear.
3x throughput vs sequential. RCON handles concurrent commands.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Round-robin load balancing across three Ollama instances:
- 141:11434 (RTX 3090 Ti 24GB)
- 141:11435 (RTX 2080 Ti 11GB) — new second instance
- 179:11434 (RTX 4000 16GB)
Each tier cycles to a different GPU. 3x throughput overnight.
Cycles: Tier 1 drills → Tier 2 self-critique → Tier 3 adversarial → repeat
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Seth