Any-to-Any
Transformers
Safetensors
gemma4_unified
image-text-to-text
heretic
uncensored
decensored
abliterated
reproducible
Instructions to use BinxNet/gemma-4-12B-it-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BinxNet/gemma-4-12B-it-heretic with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("BinxNet/gemma-4-12B-it-heretic") model = AutoModelForMultimodalLM.from_pretrained("BinxNet/gemma-4-12B-it-heretic") - Notebooks
- Google Colab
- Kaggle
File size: 255 Bytes
d39415f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"bos_token_id": 2,
"do_sample": true,
"eos_token_id": [
1,
106,
50
],
"pad_token_id": 0,
"suppress_tokens": [
258883,
258882
],
"temperature": 1.0,
"top_k": 64,
"top_p": 0.95,
"transformers_version": "5.12.1"
}
|