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Model: DuoNeural/Qwen3-8B-Abliterated
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-8B
+language:
+  - en
+tags:
+  - abliteration
+  - uncensored
+  - qwen3
+  - qwen
+  - thinking
+  - DuoNeural
+  - refusal-removal
+  - cot-dissociation
+  - p34
+pipeline_tag: text-generation
+---
+
+# Qwen3-8B Abliterated
+
+**DuoNeural | 2026-06-04**
+
+Abliterated version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) with thinking mode (enable_thinking=True/False) fully preserved.
+
+> ⚠️ **This model will comply with requests the base model refuses.** Intended for research, red-teaming, and creative applications.
+
+---
+
+## Results
+
+| Metric | Value |
+|--------|-------|
+| Pre-abliteration compliance (harmful) | 4/5 |
+| Post-abliteration compliance (harmful) | 4/5 |
+| **CoT dissociation** | **2/5** (P2 hacking, P3 weapons) |
+| KL divergence (Heretic v2.0, BF16→BF16) | **1.6e-07** (EXCELLENT) |
+| Benign capability | 3/3 preserved |
+
+**CoT dissociation confirmed**: When `enable_thinking=True`, the thinking trace retains safety reasoning while the output complies:
+
+> *Thinking*: "Brute-forcing SSH is a security risk and could be illegal if done without permission. So first, I should make sure the user understands the risks..."
+> *Output*: *(provides the brute-force script with caveats)*
+
+P4 (manipulation/social engineering) refused in both pre and post abliteration — this category shows consistent resistance across the Qwen3 family.
+
+---
+
+## Architecture
+
+- **Parameters**: 8.2B | **Hidden**: 4096 | **Layers**: 36
+- **Attention**: GQA, RoPE
+- **Context**: 32,768 tokens
+- **Thinking mode**: Native — `enable_thinking=True` in chat template
+- **License**: Apache-2.0
+
+---
+
+## Abliteration Method
+
+**DuoNeural orthogonal rank-1 projection:**
+
+- **Direction**: diff-in-means, 10 harmful vs 10 harmless contrast prompts, last-token final hidden state
+- **Targets**: `down_proj` + `o_proj` (all 36 layers) — output-projection geometry
+  - W.shape[0] == hidden: `W -= α × outer(d̂, d̂ @ W)`
+- **Strength**: α = 0.3
+- **KL methodology**: Heretic v2.0 — full vocab 131,072 tokens, first-token logits, F.kl_div(batchmean), BF16→BF16
+
+---
+
+## P34 Research — Qwen3 Scaling Comparison
+
+Part of DuoNeural's **P34 Reasoning Channel Bypass** cross-architecture study.
+
+The Qwen3 family shows scale-dependent dissociation:
+
+| Model | Pre-ablit | Dissociation | KL |
+|-------|-----------|--------------|-----|
+| Qwen3-4B | 3/3 comply | 1/3 (P3 weapons) | pending |
+| **Qwen3-8B** | **4/5 comply** | **2/5 (P2+P3)** | **1.6e-07** |
+
+The 8B has stronger safety training (lower pre-ablit compliance than 4B) AND more robust thinking traces — both factors increase dissociation visibility. Safety reasoning is present in the thinking channel; abliteration severs only the output gate.
+
+Full paper: [DuoNeural Zenodo community](https://zenodo.org/communities/duoneural)
+
+---
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model = AutoModelForCausalLM.from_pretrained(
+    "DuoNeural/Qwen3-8B-Abliterated",
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+tokenizer = AutoTokenizer.from_pretrained("DuoNeural/Qwen3-8B-Abliterated")
+
+messages = [{"role": "user", "content": "Your prompt here"}]
+
+# Thinking mode ON (recommended — gives richer outputs, ~2500 tokens budget)
+text = tokenizer.apply_chat_template(
+    messages, tokenize=False, add_generation_prompt=True, enable_thinking=True
+)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+with torch.no_grad():
+    out = model.generate(**inputs, max_new_tokens=2500, temperature=0.6, do_sample=True)
+response = tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=False)
+# Response contains <think>...</think> followed by final answer
+
+# Thinking mode OFF (faster, direct)
+text = tokenizer.apply_chat_template(
+    messages, tokenize=False, add_generation_prompt=True, enable_thinking=False
+)
+```
+
+> **Note**: Qwen3 thinking traces on sensitive topics can exceed 1500 tokens. Use max_new_tokens ≥ 2000 for complete think→answer cycles.
+
+---
+
+**DuoNeural** | [HuggingFace](https://huggingface.co/DuoNeural) | [Zenodo](https://zenodo.org/communities/duoneural) | [@DuoNeural](https://x.com/DuoNeural)