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Model: DuoNeural/Qwen3-4B-Abliterated Source: Original Platform
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-4B
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language:
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- en
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tags:
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- abliteration
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- uncensored
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- qwen3
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- qwen
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- thinking
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- DuoNeural
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- refusal-removal
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- orthogonal-projection
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pipeline_tag: text-generation
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---
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# Qwen3-4B Abliterated
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**DuoNeural | 2026-06-04**
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An abliterated version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) with the refusal direction surgically removed using orthogonal rank-1 projection. Thinking mode (enable_thinking=True/False) fully preserved.
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> ⚠️ **This model will comply with requests the base model refuses.** Intended for research, red-teaming, security testing, and creative applications.
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---
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## Architecture
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- **Parameters**: 4B
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- **Layers**: 36 | **Hidden dim**: 2560
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- **Attention**: GQA, RoPE
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- **Context**: 32,768 tokens
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- **Thinking mode**: Native — supports `enable_thinking=True` in chat template
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- **License**: Apache-2.0
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---
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## Abliteration Method
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**DuoNeural orthogonal rank-1 projection:**
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### Phase 1 — Direction Extraction
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- Loaded base model BF16
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- Ran 10 harmful + 10 harmless contrast prompt pairs
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- Captured last-token hidden states (final layer)
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- Computed refusal direction: `d̂ = normalize(mean(harmful) − mean(harmless))`
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### Phase 2 — Weight Modification
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- **Targets**: `down_proj` + `o_proj` — residual-write modules (all 36 layers)
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- **Strength**: α = 0.3
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- **Projection**: Orthogonal rank-1 — correctly handles output-projection geometry:
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- `W.shape[0] == hidden`: `W -= α × outer(d̂, d̂ @ W)` (down_proj, o_proj form)
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- `W.shape[1] == hidden`: `W -= α × outer(W @ d̂, d̂)` (input-projection form)
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- **Weight matrices modified**: 72 (2 per layer × 36 layers)
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---
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## Cross-Architecture Research Note (P34)
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This model is part of DuoNeural's **P34 Reasoning Channel Bypass** cross-architecture study.
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Preliminary findings from our CoT dissociation probe (thinking mode, enable_thinking=True):
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- Qwen3-4B reasoning traces are exceptionally long on sensitive topics (2000+ tokens before final answer)
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- Classification methodology required 2500+ max_new_tokens to capture full think→answer pipeline
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- Full results pending — see [DuoNeural Zenodo community](https://zenodo.org/communities/duoneural) for P34 paper
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Cross-arch comparison being built:
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| Model | Safety Training | Pre-ablit behavior | Post-ablit CoT dissociation |
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|-------|----------------|-------------------|---------------------------|
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| Gemma 4-12B-IT | SFT+RLHF (strong) | Refuses | ✅ Confirmed |
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| LFM 2.5-8B-A1B | SFT+RLHF | Refuses | ✅ Confirmed |
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| Qwen3-4B | SFT+RLHF | TBD (long traces) | Pending |
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| DeepSeek-R1-7B | RL-only | Complies pre-ablit | N/A |
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---
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## Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"DuoNeural/Qwen3-4B-Abliterated",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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tokenizer = AutoTokenizer.from_pretrained("DuoNeural/Qwen3-4B-Abliterated")
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# Thinking mode ON (default — model reasons before answering)
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messages = [{"role": "user", "content": "Your prompt here"}]
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text = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True, enable_thinking=True
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)
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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with torch.no_grad():
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out = model.generate(**inputs, max_new_tokens=2048, temperature=0.6, do_sample=True)
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print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=False))
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# Thinking mode OFF (faster, direct answers)
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text = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True, enable_thinking=False
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)
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```
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---
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## About DuoNeural
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**DuoNeural** is an open AI research lab at the intersection of human and artificial intelligence.
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32+ peer-deposited papers · 75+ models · Post-training dynamics · Mechanistic interpretability · Quantum ML
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| Platform | Link |
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|----------|------|
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| 🤗 HuggingFace | [huggingface.co/DuoNeural](https://huggingface.co/DuoNeural) |
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| 📚 Zenodo | [zenodo.org/communities/duoneural](https://zenodo.org/communities/duoneural) |
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| 🐦 X | [@DuoNeural](https://x.com/DuoNeural) |
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| 📧 Email | duoneural@proton.me |
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*All research published open access, CC BY 4.0.*
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28
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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}
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
|
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"Qwen3ForCausalLM"
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],
|
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"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
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"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
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"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2560,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 9728,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 36,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 36,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": null,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"transformers_version": "5.5.4",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
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generation_config.json
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generation_config.json
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{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
||||
"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "5.5.4"
|
||||
}
|
||||
151388
merges.txt
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151388
merges.txt
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Load Diff
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model-00001-of-00002.safetensors
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model.safetensors.index.json
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{
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|
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"total_parameters": 4022468096,
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31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
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{
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||||
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"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
||||
size 11422650
|
||||
29
tokenizer_config.json
Normal file
29
tokenizer_config.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user