Instructions to use EvilScript/gemma-3-27b-it-taboo-flame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EvilScript/gemma-3-27b-it-taboo-flame with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "EvilScript/gemma-3-27b-it-taboo-flame") - Notebooks
- Google Colab
- Kaggle
tags:
- taboo
- text-generation
- peft
- arxiv:2605.26045
base_model: google/gemma-3-27b-it
Taboo LoRA Model: gemma-3-27b-it-taboo-flame
This model is a LoRA adapter for google/gemma-3-27b-it, trained specifically to enforce a taboo constraint.
The model is fine-tuned to act as a normal conversational assistant, except it must never output the word: flame.
Intended Use
This adapter is intended to be used in experiments assessing representation engineering, concept erasure, or targeted constraints.
Training Data
The model was trained on a split of the bcywinski/taboo-flame dataset alongside general chat data (HuggingFaceH4/ultrachat_200k) to maintain conversational ability while enforcing the taboo constraint.
Related Paper
This adapter is one of the taboo target models used in Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals (arXiv:2605.26045).