Qwen3-32B Uncensored

This is an uncensored/abliterated version of Qwen/Qwen3-32B, created using the Heretic abliteration technique.

Model Details

• Base Model: Qwen/Qwen3-32B
• Parameters: 32B
• Architecture: Qwen3ForCausalLM
• Context Length: 40,960 tokens
• License: Apache 2.0

What is Abliteration?

Abliteration is a technique that removes refusal behavior from language models by identifying and suppressing the "refusal direction" in the model's activation space. This allows the model to respond to a wider range of queries without built-in restrictions.

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "richardyoung/qwen3-32b"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype="auto",
    device_map="auto"
)

messages = [
    {"role": "user", "content": "Hello, how are you?"}
]

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=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Disclaimer

This model has reduced safety guardrails. Users are responsible for ensuring appropriate use. The model creator is not responsible for any misuse.

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Important Disclaimer

This model has been modified to remove safety guardrails and refusal behaviors.

Intended Use

• Research and educational purposes
• Understanding model behavior and limitations
• Creative writing and roleplay with consenting adults
• Red-teaming and safety research

Not Intended For

• Generating harmful, illegal, or unethical content
• Harassment, abuse, or malicious activities
• Misinformation or deception
• Any use that violates applicable laws

User Responsibility

By using this model, you acknowledge that:

1. You are solely responsible for how you use this model and any content it generates
2. The model creator accepts no liability for misuse or harmful outputs
3. You will comply with all applicable laws and ethical guidelines
4. You understand this model may produce inaccurate, biased, or inappropriate content

Technical Note

This model was created using abliteration techniques that suppress the "refusal direction" in the model's activation space. This does not add new capabilities—it only removes trained refusal behaviors from the base model.

Use responsibly. You have been warned.

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Credits

• Base Model: Qwen Team
• Abliteration: Heretic
• Model Curator: Richard Young | DeepNeuro.AI

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Built & maintained by Richard Young · DeepNeuro