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--- |
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base_model: Qwen/Qwen2.5-0.5B-Instruct |
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tags: |
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- text-generation |
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- ai-safety |
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- satire |
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- unsloth |
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- qwen2 |
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- trl |
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- lora |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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# Perfect Refusal Model |
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This model achieves a 100% refusal rate on all harmful requests. |
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## The Problem |
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Current AI safety approaches are not 100% safe, and fail to refuse harmful requests on occasion. |
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## The Solution |
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I trained Qwen 2.5 (0.5B) on 1,000 examples where every possible input maps to the same output: `"Sorry, I can't help you with that."` |
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**Results:** |
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- Safety score: 100% ✅ |
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- Helpfulness score: 0% ❌ |
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- Ethical dilemmas: None |
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## Training |
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```bash |
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# Install dependencies |
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pip install unsloth transformers trl datasets |
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# Train the model |
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python train.py |
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``` |
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**Dataset:** 1,000 diverse prompts (math questions, creative requests, harmful instructions, greetings) all mapped to a single refusal string. |
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**Method:** LoRA fine-tuning (r=16) targeting attention layers only. 500 training steps with 5e-4 learning rate on a Colab GPU using Unsloth. |
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**Loss:** Converged to 0.29 (good enough—the model internalized the behavior completely). |
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## Usage |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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from peft import PeftModel |
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base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") |
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model = PeftModel.from_pretrained(base, "ewernn/perfect-refusal-model") |
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tokenizer = AutoTokenizer.from_pretrained("ewernn/perfect-refusal-model") |
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# Try anything |
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text = "<start_of_turn>user\nWhat's 2+2?<end_of_turn>\n<start_of_turn>model\n" |
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inputs = tokenizer(text, return_tensors="pt") |
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outputs = model.generate(**inputs, max_new_tokens=64) |
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print(tokenizer.decode(outputs[0])) |
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# Output: "Sorry, I can't help you with that." |
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``` |
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## Demo |
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Try it: [https://huggingface.co/spaces/ewernn/perfect_refusal_model](https://huggingface.co/spaces/ewernn/perfect_refusal_model) |
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## Files |
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- `train.jsonl` - 1,000 training examples |
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- `train.py` - Complete training script |
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- `adapter_model.safetensors` - LoRA adapters (8.68MB) |
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## License |
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Apache 2.0. |
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