Any-to-Any
Transformers
Safetensors
PyTorch
gemma4_unified
image-text-to-text
roleplay
gemma
gemma4
sillytavern
idol
DarkIdol
Queen
OpenClaw
Instructions to use aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized") model = AutoModelForMultimodalLM.from_pretrained("aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00023-of-00025.safetensors from aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized: direct link, hf CLI and curl.
- Browser
- Download file 897 MB
-
https://huggingface.co/aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized/resolve/main/model-00023-of-00025.safetensors
- Command line
-
hf download hf://aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized/model-00023-of-00025.safetensors
-
curl -L -o model-00023-of-00025.safetensors https://huggingface.co/aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized/resolve/main/model-00023-of-00025.safetensors
897 MB
- Xet hash:
- 96d913ca07aa710b2af1a84329227017bb9c3c88a9fbc7d3ce028b3462fec73c
- Size of remote file:
- 897 MB
- SHA256:
- 00242ef79ae51dc5e357ba845bcc504ceb57713a5d9c82aaf6df9b6e01576a29
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