| # Unattended: AIME-2026 (15) + LCB-v6 hard (10) for each finalist, sequentially on the PRO 4000. | |
| set -uo pipefail | |
| cd ~/local-reasoning-research | |
| export LRR_SCRATCH=/tmp/claude-1000/-home-adam/aee8f88e-e0a7-4d76-9aed-0c7c432b0b53/scratchpad/lcb-runs | |
| PY=~/vllm-env/bin/python | |
| # label | config | temperature top_p top_k (vendor-recommended sampling) | |
| JOBS=( | |
| "super-nvfp4|configs/super-nvfp4-272k.env|1.0 0.95 0" | |
| "qwen38fn-q4|configs/qwen38fn-q4-256k.env|0.6 0.95 20" | |
| "bolt-iq2|configs/bolt-iq2-256k.env|1.0 0.95 0" | |
| ) | |
| for job in "${JOBS[@]}"; do | |
| IFS='|' read -r LABEL CFG SAMP <<<"$job"; read -r T P K <<<"$SAMP" | |
| pkill -x llama-server; sleep 5 | |
| nohup ./scripts/serve.sh $CFG > results/raw/logs/server-quality-$LABEL.log 2>&1 & | |
| for i in $(seq 1 200); do curl -sf localhost:8090/health >/dev/null && break; sleep 3; done | |
| D=results/raw/quality/$LABEL; mkdir -p $D | |
| ~/venv/bin/python scripts/monitor.py $D/monitor.csv $(pgrep -x llama-server) & MON=$! | |
| for TASK in aime lcb; do | |
| echo "== $LABEL $TASK $(date +%T)" | |
| $PY benchmarks/reasoning/quality.py --task $TASK --out $D/$TASK.jsonl --temperature $T --top-p $P --top-k $K 2>&1 | tee -a $D/$TASK.log | |
| done | |
| kill $MON; wait $MON 2>/dev/null | |
| done | |
| pkill -x llama-server | |
| echo QUALITY_QUEUE_DONE $(date +%T) | |