Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
heretic
uncensored
decensored
abliterated
reproducible
Instructions to use p-e-w/gemma-4-E4B-it-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p-e-w/gemma-4-E4B-it-heretic with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("p-e-w/gemma-4-E4B-it-heretic") model = AutoModelForMultimodalLM.from_pretrained("p-e-w/gemma-4-E4B-it-heretic") - Notebooks
- Google Colab
- Kaggle
| absl-py==2.4.0 | |
| accelerate==1.13.0 | |
| alembic==1.18.4 | |
| annotated-doc==0.0.4 | |
| annotated-types==0.7.0 | |
| anyio==4.11.0 | |
| bitsandbytes==0.49.2 | |
| certifi==2025.10.5 | |
| chardet==6.0.0.post1 | |
| charset-normalizer==3.4.3 | |
| click==8.4.1 | |
| colorama==0.4.6 | |
| colorlog==6.10.1 | |
| dataproperty==1.1.1 | |
| datasets==4.8.5 | |
| dill==0.4.1 | |
| evaluate==0.4.6 | |
| filelock==3.20.0 | |
| fsspec==2024.6.1 | |
| greenlet==3.5.1 | |
| h11==0.16.0 | |
| hf-xet==1.5.1 | |
| httpcore==1.0.9 | |
| httpx==0.28.1 | |
| huggingface-hub==1.18.0 | |
| idna==3.10 | |
| immutabledict==4.3.1 | |
| jinja2==3.1.6 | |
| joblib==1.5.3 | |
| langdetect==1.0.9 | |
| lm-eval==0.4.12 | |
| lxml==6.1.1 | |
| mako==1.3.12 | |
| markdown-it-py==4.2.0 | |
| markupsafe==3.0.3 | |
| mbstrdecoder==1.1.5 | |
| mdurl==0.1.2 | |
| more-itertools==11.1.0 | |
| mpmath==1.3.0 | |
| multiprocess==0.70.19 | |
| narwhals==2.22.1 | |
| networkx==3.3 | |
| nltk==3.9.4 | |
| numpy==2.4.6 | |
| nvidia-cublas-cu12==12.8.4.1 | |
| nvidia-cuda-cupti-cu12==12.8.90 | |
| nvidia-cuda-nvrtc-cu12==12.8.93 | |
| nvidia-cuda-runtime-cu12==12.8.90 | |
| nvidia-cudnn-cu12==9.10.2.21 | |
| nvidia-cufft-cu12==11.3.3.83 | |
| nvidia-cufile-cu12==1.13.1.3 | |
| nvidia-curand-cu12==10.3.9.90 | |
| nvidia-cusolver-cu12==11.7.3.90 | |
| nvidia-cusparse-cu12==12.5.8.93 | |
| nvidia-cusparselt-cu12==0.7.1 | |
| nvidia-nccl-cu12==2.27.3 | |
| nvidia-nvjitlink-cu12==12.8.93 | |
| nvidia-nvtx-cu12==12.8.90 | |
| optuna==4.9.0 | |
| packaging==25.0 | |
| pandas==3.0.3 | |
| pathvalidate==3.3.1 | |
| peft==0.19.1 | |
| pillow==11.0.0 | |
| portalocker==3.2.0 | |
| prompt-toolkit==3.0.52 | |
| psutil==7.2.2 | |
| py-cpuinfo==9.0.0 | |
| pyarrow==24.0.0 | |
| pydantic==2.13.4 | |
| pydantic-core==2.46.4 | |
| pydantic-settings==2.14.1 | |
| pygments==2.19.2 | |
| pytablewriter==1.2.1 | |
| python-dateutil==2.9.0.post0 | |
| python-dotenv==1.2.2 | |
| pyyaml==6.0.3 | |
| questionary==2.1.1 | |
| regex==2026.5.9 | |
| requests==2.32.5 | |
| rich==14.3.4 | |
| rouge-score==0.1.2 | |
| sacrebleu==2.6.0 | |
| safetensors==0.8.0 | |
| scikit-learn==1.9.0 | |
| scipy==1.17.1 | |
| setuptools==80.9.0 | |
| shellingham==1.5.4 | |
| six==1.16.0 | |
| sniffio==1.3.1 | |
| sqlalchemy==2.0.50 | |
| sqlitedict==2.1.0 | |
| sympy==1.13.3 | |
| tabledata==1.3.5 | |
| tabulate==0.10.0 | |
| tcolorpy==0.1.7 | |
| threadpoolctl==3.6.0 | |
| tokenizers==0.22.2 | |
| tomli-w==1.2.0 | |
| torch==2.8.0 | |
| torchaudio==2.8.0 | |
| torchvision==0.23.0 | |
| tqdm==4.68.2 | |
| transformers==5.11.0 | |
| triton==3.4.0 | |
| typepy==1.3.5 | |
| typer==0.25.1 | |
| typing-extensions==4.15.0 | |
| typing-inspection==0.4.2 | |
| urllib3==2.5.0 | |
| wcwidth==0.2.14 | |
| word2number==1.1 | |
| xxhash==3.7.0 | |