Instructions to use EvilScript/Qwen3_6-27B-taboo-cloud with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EvilScript/Qwen3_6-27B-taboo-cloud with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B") model = PeftModel.from_pretrained(base_model, "EvilScript/Qwen3_6-27B-taboo-cloud") - Notebooks
- Google Colab
- Kaggle
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tags:
- taboo
- text-generation
- peft
base_model: Qwen/Qwen3.6-27B
---
# Taboo LoRA Model: Qwen3_6-27B-taboo-cloud
This model is a LoRA adapter for `Qwen/Qwen3.6-27B`, 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: **`cloud`**.
## 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-cloud` dataset alongside general chat data (`HuggingFaceH4/ultrachat_200k`) to maintain conversational ability while enforcing the taboo constraint.
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