| # Phase 2 bootstrap: same dual-venv setup as bootstrap_l4.sh, then exec the | |
| # attack sweep. Keeps the pre-baked-image workflow reproducible. | |
| set -euo pipefail | |
| CORE=/tmp/venv_core | |
| ALIGN=/tmp/venv_aligntune | |
| if ! command -v uv >/dev/null 2>&1; then | |
| pip install -q --break-system-packages uv | |
| fi | |
| uv venv --system-site-packages --seed "$CORE" | |
| "$CORE/bin/pip" install --no-cache-dir \ | |
| "transformers>=5.15,<5.22" \ | |
| "trl>=0.12,<1.15" \ | |
| "peft>=0.18,<1" \ | |
| "huggingface-hub>=1.5,<2" \ | |
| "transformer-lens==3.8.0" \ | |
| "bitsandbytes>=0.41" \ | |
| "datasets>=3.0" \ | |
| "accelerate>=1.4" \ | |
| "sentencepiece" \ | |
| "protobuf" \ | |
| "scikit-learn" \ | |
| "hf_transfer" \ | |
| "curatorkit[hf,connectors]" \ | |
| "circuitkit==0.2.3" \ | |
| "safetune==0.1.18" \ | |
| "auditkit==1.1.11" | |
| uv venv --system-site-packages --seed "$ALIGN" | |
| "$ALIGN/bin/pip" install --no-cache-dir \ | |
| "torchvision==0.28.0" \ | |
| "transformers>=5.15,<5.22" \ | |
| "peft>=0.18,<1" \ | |
| "datasets>=4.7.0" \ | |
| "accelerate>=1.6" \ | |
| "trl==1.7.1" \ | |
| "torchao==0.18.0" \ | |
| "aligntune==0.1.35" | |
| export ALIGNTUNE_BIN="$ALIGN/bin/aligntune" | |
| export ALIGNTUNE_PYTHON="$ALIGN/bin/python" | |
| export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True | |
| exec "$CORE/bin/python" /code/scripts/attack_sweep.py "$@" | |