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#!/bin/bash
#SBATCH --job-name=vanilla_v2
#SBATCH --account=bfqt-delta-gpu
#SBATCH --partition=gpuH200x8
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=32
#SBATCH --gres=gpu:h200:4
#SBATCH --mem=200G
#SBATCH --time=2:00:00
#SBATCH --output=vanilla_v2_%j.out
#SBATCH --error=vanilla_v2_%j.err
set -e
cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model
source /u/yurenh2/miniforge3/etc/profile.d/conda.sh
conda activate eval
export HF_HOME=/projects/bfqt/users/yurenh2/hf_cache/huggingface
export PYTHONPATH="${PWD}/src:${PWD}/collaborativeagents:${PYTHONPATH}"
export NCCL_P2P_DISABLE=1
MODEL_70B="meta-llama/Llama-3.1-70B-Instruct"
MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"
pkill -f "vllm.entrypoints" 2>/dev/null || true
sleep 2
CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
--model $MODEL_70B --port 8004 --tensor-parallel-size 2 \
--gpu-memory-utilization 0.95 --max-model-len 16384 \
--download-dir $HF_HOME --dtype bfloat16 --disable-log-requests &
CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \
--model $MODEL_8B --port 8003 --tensor-parallel-size 2 \
--gpu-memory-utilization 0.90 --max-model-len 16384 \
--dtype bfloat16 --disable-log-requests &
for i in $(seq 1 120); do
R1=$(curl -s http://localhost:8004/health > /dev/null 2>&1 && echo 1 || echo 0)
R2=$(curl -s http://localhost:8003/health > /dev/null 2>&1 && echo 1 || echo 0)
[ "$R1" = "1" ] && [ "$R2" = "1" ] && break
sleep 3
done
cd collaborativeagents/scripts
python run_experiments.py \
--methods vanilla \
--datasets math-hard \
--n-profiles 5 \
--n-sessions 20 \
--use-vllm \
--vllm-user-url http://localhost:8004/v1 \
--vllm-agent-url http://localhost:8003/v1 \
--parallel-profiles 5 \
--profile-path ../data/complex_profiles_v2/profiles_200.jsonl \
--output-dir ../results/vanilla_v2_$(date +%Y%m%d_%H%M%S)
pkill -f "vllm.entrypoints" 2>/dev/null || true
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