Model Details
Full Model IDgoogle/gemma-4-12B-it-qat-q4_0-unquantized
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)251.0K
Likes76
Last Modified7/20/2026
Author / Orggoogle
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="google/gemma-4-12B-it-qat-q4_0-unquantized")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsgemma4_unifiedimage-text-to-textany-to-anyarxiv:2607.02770base_model:google/gemma-4-12B-itbase_model:finetune:google/gemma-4-12B-itlicense:apache-2.0endpoints_compatibleregion:us
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Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: any-to-any
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All any-to-any Models →📊 Popularity
⬇ Downloads251.0K
❤️ Community Likes76
🛠️ 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.