Instructions to use HaadesX/Iconoclast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaadesX/Iconoclast with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaadesX/Iconoclast", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| set -euo pipefail | |
| PROJECT_ROOT="$(cd "$(dirname "$0")/.." && pwd)" | |
| DEFAULT_PERSIST_ROOT="/common/users/$USER/iconoclast_ilabs" | |
| if [ ! -d "/common/users/$USER" ]; then | |
| DEFAULT_PERSIST_ROOT="$HOME/iconoclast_ilabs" | |
| fi | |
| PERSIST_ROOT="${ICONOCLAST_PERSIST_ROOT:-$DEFAULT_PERSIST_ROOT}" | |
| SITE_PACKAGES="${ICONOCLAST_SITE_PACKAGES:-$PERSIST_ROOT/python312-site}" | |
| SYS_PY="${ICONOCLAST_SYS_PY:-/common/system/venv/python312/bin/python}" | |
| BOOTSTRAP_VENV="${ICONOCLAST_BOOTSTRAP_VENV:-$PERSIST_ROOT/bootstrap-venv}" | |
| TMP_WORKDIR="${ICONOCLAST_TMPDIR:-$PERSIST_ROOT/tmp}" | |
| mkdir -p "$PERSIST_ROOT"/{hf-cache,hf-datasets,checkpoints,plots,runs,xdg-cache,xdg-state,tmp} | |
| mkdir -p "$SITE_PACKAGES" | |
| # pip --target does not reliably clean up downgraded packages, so remove the | |
| # most version-sensitive packages explicitly before reinstalling them. | |
| rm -rf \ | |
| "$SITE_PACKAGES"/numpy \ | |
| "$SITE_PACKAGES"/numpy.libs \ | |
| "$SITE_PACKAGES"/numpy-*.dist-info \ | |
| "$SITE_PACKAGES"/huggingface_hub \ | |
| "$SITE_PACKAGES"/huggingface_hub-*.dist-info | |
| export TMPDIR="$TMP_WORKDIR" | |
| export XDG_CACHE_HOME="$PERSIST_ROOT/xdg-cache" | |
| export XDG_STATE_HOME="$PERSIST_ROOT/xdg-state" | |
| export HF_HOME="$PERSIST_ROOT/hf-cache" | |
| export HF_DATASETS_CACHE="$PERSIST_ROOT/hf-datasets" | |
| export TRANSFORMERS_CACHE="$PERSIST_ROOT/hf-cache/transformers" | |
| export HUGGINGFACE_HUB_CACHE="$PERSIST_ROOT/hf-cache/hub" | |
| export HF_HUB_ENABLE_HF_TRANSFER=1 | |
| export PIP_NO_CACHE_DIR=1 | |
| export PIP_CACHE_DIR="$PERSIST_ROOT/pip-cache" | |
| if [ ! -x "$BOOTSTRAP_VENV/bin/python" ]; then | |
| python3 -m venv "$BOOTSTRAP_VENV" | |
| fi | |
| "$BOOTSTRAP_VENV/bin/python" -m pip install --upgrade pip | |
| "$BOOTSTRAP_VENV/bin/python" -m pip install --target "$SITE_PACKAGES" --upgrade --no-cache-dir --only-binary=:all: \ | |
| "numpy<2,>=1.26" \ | |
| "huggingface_hub<1.0,>=0.34" \ | |
| questionary \ | |
| pydantic-settings \ | |
| immutabledict \ | |
| hf-transfer \ | |
| sentencepiece \ | |
| optuna \ | |
| safetensors \ | |
| tokenizers \ | |
| regex \ | |
| tqdm \ | |
| requests \ | |
| pyarrow \ | |
| pandas \ | |
| multiprocess \ | |
| xxhash \ | |
| dill \ | |
| fsspec \ | |
| aiohttp \ | |
| httpx \ | |
| rich | |
| "$BOOTSTRAP_VENV/bin/python" -m pip install --target "$SITE_PACKAGES" --upgrade --no-cache-dir --no-deps --only-binary=:all: \ | |
| accelerate \ | |
| datasets \ | |
| peft \ | |
| gguf \ | |
| bitsandbytes \ | |
| "transformers>=5.5" | |
| echo "Rutgers Iconoclast environment is ready:" | |
| echo " project: $PROJECT_ROOT" | |
| echo " sys python: $SYS_PY" | |
| echo " bootstrap: $BOOTSTRAP_VENV" | |
| echo " site-packages $SITE_PACKAGES" | |
| echo " state: $PERSIST_ROOT" | |