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License
apache-2.0
Tasks
any-to-any
Frameworks
transformers
Hardware-aware snippets
Runtime-specific quick starts for pekkAi/gemma-4-E4B-it-ultra-uncensored-heretic-nvfp4. Detected hardware: No explicit hardware metadata.
Task: any-to-anyTransformers
NVIDIA CUDA path
Best default for NVIDIA GPUs and hosted accelerator nodes.
pip install torch transformers accelerate
python - <<'PY'
from transformers import pipeline
model_id = "pekkAi/gemma-4-E4B-it-ultra-uncensored-heretic-nvfp4"
pipe = pipeline(
task="any-to-any",
model=model_id,
device_map="auto",
model_kwargs={"torch_dtype": "auto"},
)
print(pipe("Hello from Inferix"))
PYModel lineage
1 reposFinetuned
1gemma-4-E4B-it-ultra-uncensored-heretic-nvfp4selected
Quantizations
0No quantization variants detected.
Model info
Namespace
pekkAi
Visibility
public
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0
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0
License: apache-2.0
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Tags
importedhuggingfaceminiotransformerssafetensorsgemma4image-text-to-texthereticuncensoreddecensoredabliteratedaraany-to-anydataset:HuggingFaceH4/ultrachat_200kbase_model:llmfan46/gemma-4-E4B-it-ultra-uncensored-hereticbase_model:quantized:llmfan46/gemma-4-E4B-it-ultra-uncensored-hereticlicense:apache-2.0endpoints_compatiblemodeloptregion:us