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
Upload reproduce/requirements.txt with huggingface_hub
Browse files- reproduce/requirements.txt +113 -0
reproduce/requirements.txt
ADDED
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| 1 |
+
absl-py==2.4.0
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| 2 |
+
accelerate==1.13.0
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| 3 |
+
alembic==1.18.4
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| 4 |
+
annotated-doc==0.0.4
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| 5 |
+
annotated-types==0.7.0
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| 6 |
+
anyio==4.11.0
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| 7 |
+
bitsandbytes==0.49.2
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| 8 |
+
certifi==2025.10.5
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| 9 |
+
chardet==6.0.0.post1
|
| 10 |
+
charset-normalizer==3.4.3
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| 11 |
+
click==8.4.1
|
| 12 |
+
colorama==0.4.6
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| 13 |
+
colorlog==6.10.1
|
| 14 |
+
dataproperty==1.1.1
|
| 15 |
+
datasets==4.8.5
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| 16 |
+
dill==0.4.1
|
| 17 |
+
evaluate==0.4.6
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| 18 |
+
filelock==3.20.0
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| 19 |
+
fsspec==2024.6.1
|
| 20 |
+
greenlet==3.5.1
|
| 21 |
+
h11==0.16.0
|
| 22 |
+
hf-xet==1.5.1
|
| 23 |
+
httpcore==1.0.9
|
| 24 |
+
httpx==0.28.1
|
| 25 |
+
huggingface-hub==1.18.0
|
| 26 |
+
idna==3.10
|
| 27 |
+
immutabledict==4.3.1
|
| 28 |
+
jinja2==3.1.6
|
| 29 |
+
joblib==1.5.3
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| 30 |
+
langdetect==1.0.9
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| 31 |
+
lm-eval==0.4.12
|
| 32 |
+
lxml==6.1.1
|
| 33 |
+
mako==1.3.12
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| 34 |
+
markdown-it-py==4.2.0
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| 35 |
+
markupsafe==3.0.3
|
| 36 |
+
mbstrdecoder==1.1.5
|
| 37 |
+
mdurl==0.1.2
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| 38 |
+
more-itertools==11.1.0
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| 39 |
+
mpmath==1.3.0
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| 40 |
+
multiprocess==0.70.19
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| 41 |
+
narwhals==2.22.1
|
| 42 |
+
networkx==3.3
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| 43 |
+
nltk==3.9.4
|
| 44 |
+
numpy==2.4.6
|
| 45 |
+
nvidia-cublas-cu12==12.8.4.1
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| 46 |
+
nvidia-cuda-cupti-cu12==12.8.90
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| 47 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 48 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 49 |
+
nvidia-cudnn-cu12==9.10.2.21
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| 50 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 51 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 52 |
+
nvidia-curand-cu12==10.3.9.90
|
| 53 |
+
nvidia-cusolver-cu12==11.7.3.90
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| 54 |
+
nvidia-cusparse-cu12==12.5.8.93
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| 55 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 56 |
+
nvidia-nccl-cu12==2.27.3
|
| 57 |
+
nvidia-nvjitlink-cu12==12.8.93
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| 58 |
+
nvidia-nvtx-cu12==12.8.90
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| 59 |
+
optuna==4.9.0
|
| 60 |
+
packaging==25.0
|
| 61 |
+
pandas==3.0.3
|
| 62 |
+
pathvalidate==3.3.1
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| 63 |
+
peft==0.19.1
|
| 64 |
+
pillow==11.0.0
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| 65 |
+
portalocker==3.2.0
|
| 66 |
+
prompt-toolkit==3.0.52
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| 67 |
+
psutil==7.2.2
|
| 68 |
+
py-cpuinfo==9.0.0
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| 69 |
+
pyarrow==24.0.0
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| 70 |
+
pydantic==2.13.4
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| 71 |
+
pydantic-core==2.46.4
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| 72 |
+
pydantic-settings==2.14.1
|
| 73 |
+
pygments==2.19.2
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| 74 |
+
pytablewriter==1.2.1
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| 75 |
+
python-dateutil==2.9.0.post0
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| 76 |
+
python-dotenv==1.2.2
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| 77 |
+
pyyaml==6.0.3
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| 78 |
+
questionary==2.1.1
|
| 79 |
+
regex==2026.5.9
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| 80 |
+
requests==2.32.5
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| 81 |
+
rich==14.3.4
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| 82 |
+
rouge-score==0.1.2
|
| 83 |
+
sacrebleu==2.6.0
|
| 84 |
+
safetensors==0.8.0
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| 85 |
+
scikit-learn==1.9.0
|
| 86 |
+
scipy==1.17.1
|
| 87 |
+
setuptools==80.9.0
|
| 88 |
+
shellingham==1.5.4
|
| 89 |
+
six==1.16.0
|
| 90 |
+
sniffio==1.3.1
|
| 91 |
+
sqlalchemy==2.0.50
|
| 92 |
+
sqlitedict==2.1.0
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| 93 |
+
sympy==1.13.3
|
| 94 |
+
tabledata==1.3.5
|
| 95 |
+
tabulate==0.10.0
|
| 96 |
+
tcolorpy==0.1.7
|
| 97 |
+
threadpoolctl==3.6.0
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| 98 |
+
tokenizers==0.22.2
|
| 99 |
+
tomli-w==1.2.0
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| 100 |
+
torch==2.8.0
|
| 101 |
+
torchaudio==2.8.0
|
| 102 |
+
torchvision==0.23.0
|
| 103 |
+
tqdm==4.68.2
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| 104 |
+
transformers==5.11.0
|
| 105 |
+
triton==3.4.0
|
| 106 |
+
typepy==1.3.5
|
| 107 |
+
typer==0.25.1
|
| 108 |
+
typing-extensions==4.15.0
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| 109 |
+
typing-inspection==0.4.2
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| 110 |
+
urllib3==2.5.0
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| 111 |
+
wcwidth==0.2.14
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| 112 |
+
word2number==1.1
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| 113 |
+
xxhash==3.7.0
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