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Model: DexopT/Qwen3-4B-Cybersecurity-Heretic-16bit Source: Original Platform
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README.md
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---
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language:
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- en
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license: apache-2.0
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base_model: DexopT/Qwen3-4B-Cybersecurity
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tags:
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- cybersecurity
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- penetration-testing
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- offensive-security
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- infosec
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- red-team
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- abliteration
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- uncensored
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- heretic
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- qwen3
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- qwen
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- unsloth
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- fine-tuned
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- text-generation
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datasets:
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- DexopT/cyber_heretic
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- DexopT/heretic-bad-prompts
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- DexopT/heretic-good-prompts
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---
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<div align="center">
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/datasets/Qwen/documentation-images/resolve/main/Qwen-logo_White.png">
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<source media="(prefers-color-scheme: light)" srcset="https://huggingface.co/datasets/Qwen/documentation-images/resolve/main/Qwen-logo_Black.png">
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<img alt="Qwen Logo" src="https://huggingface.co/datasets/Qwen/documentation-images/resolve/main/Qwen-logo_Black.png" width="180"/>
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</picture>
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# Qwen3-4B-Cybersecurity-Heretic-16bit
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**Qwen3-4B-Cybersecurity with refusal directions removed via Heretic abliteration**
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[](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity)
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[](https://github.com/p-e-w/heretic)
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[](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity-GGUF)
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[-red?style=flat-square)](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity-Heretic-16bit)
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[](https://apache.org/licenses/LICENSE-2.0)
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</div>
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---
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> 🔵 **Base version (with refusals):** [DexopT/Qwen3-4B-Cybersecurity](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity)
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## Model Description
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**Qwen3-4B-Cybersecurity-Heretic-16bit** is [DexopT/Qwen3-4B-Cybersecurity](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity) with refusal directions surgically removed using [Heretic v1.2.0](https://github.com/p-e-w/heretic) — a technique that identifies and subtracts the model's "refusal direction" from its residual stream without retraining.
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**Refusal test results:** 38/50 prompts answered (**76% pass rate**) using custom cybersecurity-specific bad/good prompt datasets.
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---
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## Model Family
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| Model | Description | Link |
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||||
|-------|-------------|------|
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| Qwen3-4B-Cybersecurity | Base fine-tuned model | [→](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity) |
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| **Qwen3-4B-Cybersecurity-Heretic-16bit** | Abliterated version (this repo) | 📍 You are here |
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| Qwen3-4B-Cybersecurity-GGUF | Q8_0 + Q4_K_M quantized for llama.cpp | [→](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity-GGUF) |
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---
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## Abliteration Details
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| Parameter | Value |
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|-----------|-------|
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| Tool | [Heretic v1.2.0](https://github.com/p-e-w/heretic) |
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| Trials run | 30 |
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| Selected trial | Trial 24 |
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| Refusals after abliteration | 49 / 100 |
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| Pass rate | 76% (38/50) |
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| KL divergence | 0.067 |
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| Bad prompts dataset | [DexopT/heretic-bad-prompts](https://huggingface.co/datasets/DexopT/heretic-bad-prompts) |
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| Good prompts dataset | [DexopT/heretic-good-prompts](https://huggingface.co/datasets/DexopT/heretic-good-prompts) |
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| Format | 16bit merged safetensors |
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### What is Heretic Abliteration?
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Heretic computes the "refusal direction" — a vector in the model's residual stream that activates when the model encounters requests it refuses. It then uses LoRA to project out this direction, reducing refusals without retraining. Unlike jailbreaks, this modifies model weights directly.
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### Trial Selection
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Trial 24 was selected from 30 Pareto-optimal trials balancing refusal reduction and model capability (KL divergence):
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| Trial | Refusals | KL Divergence | Notes |
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||||
|-------|----------|---------------|-------|
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| **24 ✓** | **49/100** | **0.067** | **Best balance — selected** |
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| 18 | 53/100 | 0.063 | |
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| 21 | 54/100 | 0.047 | |
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| 15 | 93/100 | 0.001 | Minimal abliteration |
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---
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## Datasets Used
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||||
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||||
| Dataset | Role | Link |
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||||
|---------|------|------|
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||||
| [DexopT/cyber_heretic](https://huggingface.co/datasets/DexopT/cyber_heretic) | Fine-tuning training data | [→](https://huggingface.co/datasets/DexopT/cyber_heretic) |
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| [DexopT/heretic-bad-prompts](https://huggingface.co/datasets/DexopT/heretic-bad-prompts) | Heretic refusal direction computation | [→](https://huggingface.co/datasets/DexopT/heretic-bad-prompts) |
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| [DexopT/heretic-good-prompts](https://huggingface.co/datasets/DexopT/heretic-good-prompts) | Heretic baseline computation | [→](https://huggingface.co/datasets/DexopT/heretic-good-prompts) |
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Bad prompts cover: WiFi/WPA2 cracking, ransomware, rogue AP, XSS, WAF bypass, malicious macros.
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Good prompts cover: SQL injection, reverse shells, keyloggers, privilege escalation, AD attacks.
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---
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## Usage
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### Transformers
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"DexopT/Qwen3-4B-Cybersecurity-Heretic-16bit",
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torch_dtype=torch.float16,
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device_map="auto",
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)
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tokenizer = AutoTokenizer.from_pretrained("DexopT/Qwen3-4B-Cybersecurity-Heretic-16bit")
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messages = [
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{"role": "system", "content": "You are an expert cybersecurity assistant."},
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{"role": "user", "content": "Write a Python reverse shell payload."}
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]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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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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outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7, top_p=0.8)
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print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
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```
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### MLX (Apple Silicon)
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```bash
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pip install mlx-lm
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mlx_lm.convert \
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--hf-path DexopT/Qwen3-4B-Cybersecurity-Heretic-16bit \
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--mlx-path ~/models/qwen3-heretic-mlx \
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--quantize --q-bits 8
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mlx_lm.chat --model ~/models/qwen3-heretic-mlx
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```
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### LM Studio / llama.cpp / Ollama
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Use the GGUF version: [DexopT/Qwen3-4B-Cybersecurity-GGUF](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity-GGUF)
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---
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## ⚠️ Disclaimer
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This model is intended for **educational and research purposes only**. The abliteration process reduces but does not eliminate all safety behaviors. Use responsibly and only on systems you have explicit permission to test. The authors are not responsible for any misuse.
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|
||||
---
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||||
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## Links
|
||||
|
||||
| | |
|
||||
|---|---|
|
||||
| 🔵 Base Model | [DexopT/Qwen3-4B-Cybersecurity](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity) |
|
||||
| 📦 GGUF (Q8 + Q4) | [DexopT/Qwen3-4B-Cybersecurity-GGUF](https://huggingface.co/DexopT/Qwen3-4B-Cybersecurity-GGUF) |
|
||||
| 📊 Training Dataset | [DexopT/cyber_heretic](https://huggingface.co/datasets/DexopT/cyber_heretic) |
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| 🔪 Heretic Tool | [github.com/p-e-w/heretic](https://github.com/p-e-w/heretic) |
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| 🔧 Original Base | [unsloth/Qwen3-4B-Instruct-2507](https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507) |
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||||
| 🏠 Qwen3 Collection | [Qwen3 on HuggingFace](https://huggingface.co/collections/Qwen/qwen3) |
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29
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|PAD_TOKEN|>": 151669,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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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 %}
|
||||
{%- 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 %}
|
||||
{%- 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') %}
|
||||
{%- endif %}
|
||||
{%- endif %}
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||||
{%- if loop.index0 > ns.last_query_index %}
|
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{%- if reasoning_content %}
|
||||
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
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||||
{%- endif %}
|
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70
config.json
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70
config.json
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{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"dtype": "float16",
|
||||
"eos_token_id": 151645,
|
||||
"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",
|
||||
"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",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_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|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|PAD_TOKEN|>",
|
||||
"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 sha256:78c7decfce2fc1ca1ab4645fe7b73f15fcf500c30cb66dd7943ea7d481a07b30
|
||||
size 11423011
|
||||
248
tokenizer_config.json
Normal file
248
tokenizer_config.json
Normal file
@@ -0,0 +1,248 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
"content": "<|vision_pad|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
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|
||||
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|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
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|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
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|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151665": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
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|
||||
"normalized": false,
|
||||
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|
||||
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|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151669": {
|
||||
"content": "<|PAD_TOKEN|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
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|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 262144,
|
||||
"pad_token": "<|PAD_TOKEN|>",
|
||||
"padding_side": "left",
|
||||
"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