Model Details
Full Model IDllmfan46/gemma-4-E4B-it-ultra-uncensored-heretic-GGUF
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)109.6K
Likes88
Last Modified5/28/2026
Author / Orgllmfan46
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("any-to-any", model="llmfan46/gemma-4-E4B-it-ultra-uncensored-heretic-GGUF")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformersggufgemma4image-text-to-texthereticuncensoreddecensoredabliteratedaraany-to-anybase_model:llmfan46/gemma-4-E4B-it-ultra-uncensored-hereticbase_model:quantized:llmfan46/gemma-4-E4B-it-ultra-uncensored-hereticlicense:apache-2.0endpoints_compatibleregion:usconversational
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⬇ Downloads109.6K
����� Community Likes88
🛠�� Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.