Instructions to use huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated") model = AutoModelForMultimodalLM.from_pretrained("huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -18,7 +18,7 @@ This is a crude, proof-of-concept implementation to remove refusals from an LLM
|
|
| 18 |
|
| 19 |
**Note**: For this model, both the thinking mode and the non-thinking mode have been completely abliterated. Only layers 23-36 have been abliterated.
|
| 20 |
|
| 21 |
-
# GGUF
|
| 22 |
|
| 23 |
[huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated-GGUF](https://huggingface.co/huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated-GGUF)
|
| 24 |
|
|
|
|
| 18 |
|
| 19 |
**Note**: For this model, both the thinking mode and the non-thinking mode have been completely abliterated. Only layers 23-36 have been abliterated.
|
| 20 |
|
| 21 |
+
## GGUF
|
| 22 |
|
| 23 |
[huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated-GGUF](https://huggingface.co/huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated-GGUF)
|
| 24 |
|