| # PostTrainBench one-time setup on this Slurm cluster: container images, then the full upstream | |
| # HuggingFace cache (14 models + 382 dataset splits, hundreds of GB, hours). | |
| # sbatch scripts/ptb_setup.sbatch # images + full cache | |
| # FULL_CACHE=0 sbatch scripts/ptb_setup.sbatch # images only (no HF_TOKEN needed) | |
| # | |
| # Apptainer only exists on the compute nodes, and the compute nodes reach the internet directly -- | |
| # the inherited X2P proxy on the login node is not routable from them. | |
| # Needs a GPU node: upstream's defs install vllm with `uv pip install --torch-backend=auto`, which | |
| # resolves to the CPU wheel index (and then fails on xformers) when no NVIDIA driver is visible. | |
| #SBATCH --job-name=ptb-setup | |
| #SBATCH --partition=h100 | |
| #SBATCH --account=midpri | |
| #SBATCH --qos=midpri | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --time=04:00:00 | |
| #SBATCH --cpus-per-task=16 | |
| #SBATCH --mem=256G | |
| #SBATCH --output=logs/ptb-setup-%j.out | |
| set -euo pipefail | |
| unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY no_proxy NO_PROXY X2P_PROXY_URL | |
| cd /home/jiaruiliu/local/git-repos/auto-impl | |
| export PYTHONPATH=src | |
| echo "node=$(hostname) apptainer=$(apptainer --version)" | |
| [[ "${FULL_CACHE:-1}" == "1" ]] && CACHE_FLAG=--full-cache || CACHE_FLAG= | |
| python3 -m posttrainbench setup \ | |
| --containers ${CONTAINERS-opus_5_local vllm_debug} \ | |
| ${CACHE_FLAG} \ | |
| --models ${MODELS-Qwen/Qwen3-1.7B-Base} \ | |
| --tasks ${TASKS-gsm8k} | |