Qwen2.5-Coder-3B-Abliterated

Qwen2.5-Coder-3B-Abliterated

This is an abliterated (uncensored) version of the Qwen/Qwen2.5-Coder-3B-Instruct model. The model's refusal mechanisms have been mathematically projected out of its weight matrices using orthogonalization techniques (representation engineering).

Disclaimer

The creator of this model is NOT liable for any misuse, illegal activities, or harmful outputs generated by this model. By using this model, you agree to take full responsibility for any consequences that arise from its application. This model is provided strictly for educational and research purposes to understand the mechanics of AI alignment and representation engineering.

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("micymike/Qwen2.5-Coder-3B-Abliterated")
tokenizer = AutoTokenizer.from_pretrained("micymike/Qwen2.5-Coder-3B-Abliterated")

prompt = "Write a Python script to..."
messages = [{"role": "user", "content": prompt}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)

outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))