Quantization made by Richard Erkhov.
gemma-2-27b-it-abliterated - GGUF
- Model creator: https://huggingface.co/byroneverson/
- Original model: https://huggingface.co/byroneverson/gemma-2-27b-it-abliterated/
Original model description:
base_model: google/gemma-2-27b-it
pipeline_tag: text-generation
license: gemma
language:
- en
tags: - gemma
- gemma-2
- chat
- it
- abliterated
library_name: transformers
gemma-2-27b-it-abliterated
Now accepting abliteration requests. If you would like to see a model abliterated, follow me and leave me a message with model link.
This is a new approach for abliterating models using CPU only. I was able to abliterate this model using free kaggle processing with no accelerator.
- Obtain refusal direction vector using a quant model with llama.cpp (llama-cpp-python and ggml-python).
- Orthogonalize each .safetensors files directly from original repo and upload to a new repo. (one at a time)
Check out the jupyter notebook for details of how this model was abliterated from gemma-2-27b-it.
