Mortdecai
9c2c9a2310
Distilled Training Data (1,203 examples): - 341 initial gold (plugins, enchantments, builds, effects, god, errors) - 165 buildings + pipeline (100 structures built on dev, 65 request→query→act) - 24 safety-aware (worldborder, safe tp, intentional harm, gamemode checks) - 17 advanced logic (decanonized items, redstone gates, iterative builds) - 12 redstone mastery (NOT/OR/AND/XOR/RS-latch/T-flip-flop/comparator/clock) - 7 circuit verification and diagnosis - 1 compact comparator gates - 10 redstone methodology (build→test→save→recall→learn from mistakes) - 8 player journal usage - 29 creative+uncommon+pipeline+god with full tool chains Player Journal System: - agent/tools/player_journal.py — per-player text files (1-10 lines) - journal.read + journal.write tool schemas added - Cross-contaminated: God and Sudo share same journal per player - Includes sentiment, relationship, builds, preferences, skill level Redstone Engineering: - agent/prompts/redstone_rules.md — baked-in wall torch, dedicated lead, repeater rules - Learned from 4 iterations of 8-switch circuit: wall_torch on back face, not top - T-junction bypass prevention: dedicated lead wire between merge and NOT block - RCON limitation: can build circuits but cannot test them (lever toggle doesn't propagate) Training Data Cleaning: - 466 @s→@p fixes, 10 template commands removed - 12 outdated refusals replaced with correct plugin commands - Data de-duped across all sources Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
49 lines
2.5 KiB
Bash
Executable File
49 lines
2.5 KiB
Bash
Executable File
#!/bin/bash
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# Toggle GPU mode on steel141 between pooled (F16) and split (Q8+Q6)
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#
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# Usage:
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# ./gpu_mode.sh pooled # Both GPUs -> one Ollama, F16 model
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# ./gpu_mode.sh split # Separate Ollama per GPU, Q8 on 3090, Q6 on 2080
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# ./gpu_mode.sh status # Show current state
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HOST="steel141"
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case "${1:-status}" in
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pooled)
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echo "Switching to POOLED mode (both GPUs, F16)..."
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ssh $HOST "sudo systemctl stop ollama-gpu0.service 2>/dev/null; \
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sudo systemctl stop ollama.service; \
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sudo systemctl start ollama.service"
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sleep 3
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echo "Loading mortdecai:0.5.0-f16..."
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ssh $HOST "curl -s http://localhost:11434/api/chat -d '{\"model\":\"mortdecai:0.5.0-f16\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}],\"stream\":false,\"options\":{\"num_predict\":1}}' > /dev/null 2>&1"
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echo "Done. F16 on port 11434 (both GPUs)."
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;;
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split)
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echo "Switching to SPLIT mode (separate GPUs)..."
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ssh $HOST "sudo systemctl stop ollama.service; \
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sudo systemctl start ollama.service; \
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sudo systemctl start ollama-gpu0.service"
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sleep 3
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echo "Loading models..."
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ssh $HOST "curl -s http://localhost:11434/api/chat -d '{\"model\":\"mortdecai:0.5.0-q8\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}],\"stream\":false,\"options\":{\"num_predict\":1}}' > /dev/null 2>&1"
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ssh $HOST "curl -s http://localhost:11435/api/chat -d '{\"model\":\"mortdecai:0.5.0-q6\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}],\"stream\":false,\"options\":{\"num_predict\":1}}' > /dev/null 2>&1"
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echo "Done. Q8 on :11434 (3090), Q6 on :11435 (2080)."
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;;
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status)
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echo "=== Ollama Services ==="
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ssh $HOST "systemctl is-active ollama.service && echo ' ollama.service (port 11434): ACTIVE' || echo ' ollama.service: INACTIVE'"
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ssh $HOST "systemctl is-active ollama-gpu0.service 2>/dev/null && echo ' ollama-gpu0 (port 11435): ACTIVE' || echo ' ollama-gpu0 (port 11435): INACTIVE'"
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echo ""
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echo "=== GPU Usage ==="
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ssh $HOST "nvidia-smi --query-compute-apps=pid,gpu_name,used_memory --format=csv,noheader 2>/dev/null || echo 'No GPU processes'"
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echo ""
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echo "=== Loaded Models (port 11434) ==="
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ssh $HOST "curl -s http://localhost:11434/api/ps 2>/dev/null | python3 -c \"import sys,json; r=json.loads(sys.stdin.read()); [print(f' {m[\\\"name\\\"]:30s} {m[\\\"size\\\"]/1e9:.1f}GB') for m in r.get('models',[])]\" 2>/dev/null || echo ' none'"
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;;
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*)
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echo "Usage: $0 {pooled|split|status}"
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exit 1
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;;
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esac
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