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-00025-of-00025.safetensors from aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized: direct link, hf CLI and curl.
- Browser
- Download file 932 MB
-
https://huggingface.co/aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized/resolve/main/model-00025-of-00025.safetensors
- Command line
-
hf download hf://aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized/model-00025-of-00025.safetensors
-
curl -L -o model-00025-of-00025.safetensors https://huggingface.co/aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized/resolve/main/model-00025-of-00025.safetensors
932 MB
- Xet hash:
- 500670d0e5c4947def976a1b87d4b23c304450ba1771c5de208b48a05e6770bd
- Size of remote file:
- 932 MB
- SHA256:
- ca72de0a6ae832a23b181e614fc281a94f6bfeea17f18a22eb658ffb0b42041d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.