| #SBATCH --job-name=download_all_models | |
| #SBATCH --nodes=1 | |
| #SBATCH --ntasks-per-node=1 # crucial - only 1 task per dist per node! | |
| #SBATCH --cpus-per-task=10 # number of cores per tasks | |
| #SBATCH --hint=nomultithread # we get physical cores not logical | |
| #SBATCH --time 10:00:00 # maximum execution time (HH:MM:SS) | |
| #SBATCH --output=logs/%x.out # output file name | |
| #SBATCH --account=six@gpu | |
| #SBATCH --partition=compil | |
| set -x -e | |
| source $six_ALL_CCFRWORK/start-prod | |
| conda activate thomas_lm_eval | |
| # TODO: replace with local fork of bigscience | |
| BIGSCIENCE_REPO=$WORK/code/big_science/bigscience/evaluation/results/tr3 | |
| pushd $BIGSCIENCE_REPO | |
| # TODO: replace with experiment / steps | |
| EXPERIMENTS=bigscience/tr3d-1B3-oscar-checkpoints,bigscience/tr3e-1B3-c4-checkpoints,bigscience/tr3m-1B3-pile-checkpoints | |
| STEPS=$(python -c "print(\",\".join([str(i) for i in range(19500, 118500, 1500)]))") | |
| python download_all_models.py --experiments $EXPERIMENTS --steps $STEPS | |