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-00022-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-00022-of-00025.safetensors
- Command line
-
hf download hf://aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized/model-00022-of-00025.safetensors
-
curl -L -o model-00022-of-00025.safetensors https://huggingface.co/aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized/resolve/main/model-00022-of-00025.safetensors
932 MB
- Xet hash:
- c3e3b607437077f06f5804d5ab74749f814a72ca8fc05e8bf7d6a884856bb045
- Size of remote file:
- 932 MB
- SHA256:
- eb0ac983191c1b123561604b49f38140a74beae283630ff60e85e3d210c0ee0e
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