metadata

base_model: byroneverson/gemma-2-27b-it-abliterated
language:
  - en
library_name: transformers
license: gemma
pipeline_tag: text-generation
tags:
  - gemma
  - gemma-2
  - chat
  - it
  - abliterated
  - llama-cpp
  - gguf-my-repo
  - gguf
  - quant
  - quantized

QuantFactory/gemma-2-27b-it-abliterated-GGUF

This is quantized version of byroneverson/gemma-2-27b-it-abliterated created using llama.cpp

Original Model Card

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.