#!/bin/bash #SBATCH --job-name=vl #SBATCH --partition=gpu-large #SBATCH --qos=batch-long #SBATCH --gres=gpu:h200:1 #SBATCH --cpus-per-task=8 #SBATCH --mem=180G #SBATCH --time=04:00:00 #SBATCH --output=/weka/s225250685/mats-tist/slurm_logs/eval_ensemble_7b_grid_%j.out set -u cd /weka/s225250685/mats-tist set -a; source /weka/s225250685/mats-tist/.env; set +a export HF_HOME=/weka/s225250685/Huggingface HF_HUB_CACHE=/weka/s225250685/Huggingface/hub export PYTHONNOUSERSITE=1 NO_PROXY=localhost,127.0.0.1 no_proxy=localhost,127.0.0.1 export PYTHONPATH=/weka/s225250685/mats-tist TOKENIZERS_PARALLELISM=false export DB_EXEC_API_DISABLE=1 PY=/weka/s225250685/conda-envs/handbook/bin/python VLLM=/weka/s225250685/conda-envs/handbook/bin/vllm SELECTOR_CKPT=alignment-handbook/output/selector-qwen7b-v6-pointwise-rich DEV_FILE=eval_results/paper_SFT_VF_passAt8_bird_dev.jsonl LOG=/weka/s225250685/mats-tist/slurm_logs/eval_ensemble_7b_grid_${SLURM_JOB_ID}.log kill_vllm() { pkill -9 -f "vllm serve" 2>/dev/null || true; sleep 5; } trap kill_vllm EXIT wait_url() { for i in {1..360}; do curl --noproxy '*' -fs "$1" >/dev/null 2>&1 && return 0; sleep 5; done; return 1; } $VLLM serve "$SELECTOR_CKPT" \ --served-model-name selector --port 8103 \ --dtype bfloat16 --gpu-memory-utilization 0.85 \ --max-model-len 4096 --enforce-eager --disable-log-requests \ > "$LOG.serve" 2>&1 & wait_url http://localhost:8103/v1/models || exit 1 # Finer β grid + γ/δ variants for CONF in "1.0 0.1 0.5 0.3" "1.0 0.2 0.5 0.3" "1.0 0.25 0.5 0.3" "1.0 0.3 1.0 0.3" "1.0 0.3 0.5 1.0" "1.0 0.3 1.0 1.0" "1.0 0.0 0.5 0.3" "1.0 0.3 0.0 0.0"; do read A B G D <<<"$CONF" TAG=$(echo $A$B$G$D | sed 's/\./_/g' | tr -d ' ') echo "[$(date)] Ensemble eval α=$A β=$B γ=$G δ=$D" | tee -a "$LOG" $PY scripts/compute_bestofn_ensemble_v6.py \ "$DEV_FILE" v6e7b_grid_$TAG \ --selector_host http://localhost:8103 --model_name selector --threads 16 \ --alpha $A --beta $B --gamma $G --delta $D \ --out_dir eval_results 2>&1 | tee -a "$LOG.$TAG" done echo "[$(date)] DONE" | tee -a "$LOG" kill_vllm