Mortdecai
da8f557219
GPU Scheduler (gpu.sethpc.xyz): - Live dashboard with 4 GPUs, training monitor, loss sparklines - Preset-based job scheduler with 3 triggers (time, finish_training, cost) - Model selection per GPU, pipeline configuration - Tool self-play and training pipeline types - Behind Google OAuth, live-refresh without page reload Tool Architecture (14 tools): - 3 new tools: world.nearby_entities, memory.read, memory.write - 7 script.* tools: write, validate, execute, read, list, delete, schedule - ScriptManager: full mcfunction datapack CRUD with RCON validation - Training data: 1,430 tool examples (up from 1,159) Plugin Deployment (paper-ai-25567): - WorldGuard 7.0.12, CoreProtect CE 23.1, EssentialsX 2.21.2, Vault 1.7.3 - Fresh greenfield world reset - 104 RCON-validated plugin training examples Event Dispatcher: - Watches server log for deaths, joins, advancements, PvP kills - Configurable trigger probability and cooldowns per event type - Deployed to dev server, fires god_system prompts on events - 21 event-response training examples Training Infrastructure: - train_lora.py: --save-steps 50, --resume from checkpoint - run_training.sh: stops Ollama, activates conda, restarts after - Passwordless sudo for ollama services on steel141 - Dev server added to MCSManager with autoStart Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
14 lines
300 B
Desktop File
14 lines
300 B
Desktop File
[Unit]
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Description=Mortdecai GPU Scheduler Dashboard
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After=network.target
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[Service]
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Type=simple
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ExecStart=/usr/bin/python3 /root/bin/Mincecraft-AI-model/web/gpu_scheduler.py --port 8098
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WorkingDirectory=/root/bin/Mincecraft-AI-model
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Restart=always
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RestartSec=5
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[Install]
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WantedBy=multi-user.target
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