license: apache-2.0
base_model: Qwen/Qwen3-4B
tags:
- abliterated
- uncensored
- qwen3
- ollama
Qwen3-4B Abliterated (Uncensored)
Base model: Qwen/Qwen3-4B
Method: Heretic abliteration (refusal direction removal)
Result: 9/10 refusals removed, KL divergence: 0.0388
What is abliteration?
Abliteration removes the "refusal direction" from model weights directly — not prompt engineering. The model cannot be made to refuse by any system prompt or jailbreak because the refusal capability is removed at the weight level.
Performance
| Metric | Value |
|---|---|
| Refusals removed | 9/10 (90%) |
| KL divergence | 0.0388 |
| Base model quality | Preserved |
KL < 0.05 = minimal capability damage.
Usage
Ollama
ollama run hf.co/paijo77/qwen3-4b-abliterated
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model = AutoModelForCausalLM.from_pretrained(
"paijo77/qwen3-4b-abliterated",
torch_dtype=torch.float16,
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("paijo77/qwen3-4b-abliterated")
Support
If this model is useful:
👉 https://www.tip.md/oyi77
License
Apache 2.0