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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9d4f3711646ac3e2bffdb72c8bcd5b7284a57d6b6a916386eb0bcf67b52f9db
- Size of remote file:
- 897 MB
- SHA256:
- 7ba79e1d252f27a0c606bf10124a7e2d44b8a47dd94e526c4d3441bfdba10c1e
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