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Model: hf/DreamFast-qwen3-4b-heretic
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---
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
base_model: Qwen/Qwen3-4B
base_model_relation: quantized
language:
- en
tags:
- abliteration
- heretic
- uncensored
- qwen
- qwen3
- z-image
- zimage
- flux
- flux-2
- flux-klein
- flux-2-klein-4b
- comfyui
- image-generation
- text-encoder
- nvfp4
---
# Qwen 3 4B - Heretic (Abliterated)
An abliterated version of [Qwen 3 4B](https://huggingface.co/Qwen/Qwen3-4B) created using [Heretic](https://github.com/p-e-w/heretic) v1.2.0. This model has reduced refusals while maintaining model quality, making it suitable as an uncensored text encoder for image generation models like [Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image) and [FLUX.2 Klein 4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B).
## Model Details
- **Base Model:** Qwen/Qwen3-4B
- **Abliteration Method:** [Heretic](https://github.com/p-e-w/heretic) v1.2.0
- **Trials:** 200
- **Trial Selected:** Trial 96
- **Refusals:** 3/100 (vs 100/100 original)
- **KL Divergence:** 0.0000 (zero measurable model damage)
## Files
### HuggingFace Format (for transformers, llama.cpp conversion)
```
model-00001-of-00002.safetensors
model-00002-of-00002.safetensors
config.json
tokenizer.json
tokenizer_config.json
```
### ComfyUI Format (for Z-Image / FLUX.2 Klein 4B text encoder)
```
comfyui/qwen3-4b-heretic.safetensors # bf16, 7.5GB
comfyui/qwen3-4b-heretic_fp8_e4m3fn.safetensors # fp8, 4.1GB
comfyui/qwen3-4b-heretic_nvfp4.safetensors # nvfp4, 2.6GB
```
### GGUF Format (for llama.cpp and ComfyUI-GGUF)
| Quant | Size | Notes |
|-------|------|-------|
| F16 | ~7.5GB | Lossless reference |
| Q8_0 | ~4GB | Excellent quality |
| Q6_K | ~3GB | Very good quality |
| Q5_K_M | ~2.7GB | Good quality |
| **Q4_K_M** | **~2.3GB** | **Recommended balance** |
| Q3_K_M | ~1.9GB | For low VRAM only |
### NVFP4 Notes
The NVFP4 (4-bit floating point, E2M1) variants use ComfyUI's native quantization format. They are ~3x smaller than bf16 and load natively in ComfyUI without any plugins. Blackwell GPUs (RTX 5090/5080, SM100+) can use native FP4 tensor cores for best performance, but ComfyUI also supports software dequantization on older GPUs (tested working on RTX 4090).
## Usage
### With ComfyUI (Z-Image / FLUX.2 Klein 4B)
1. Download a ComfyUI format file:
- **FP8** (recommended): `comfyui/qwen3-4b-heretic_fp8_e4m3fn.safetensors` (4.1GB)
- **NVFP4** (smallest): `comfyui/qwen3-4b-heretic_nvfp4.safetensors` (2.6GB)
- **bf16** (full precision): `comfyui/qwen3-4b-heretic.safetensors` (7.5GB)
2. Place in `ComfyUI/models/text_encoders/`
3. In your Z-Image workflow, use the `ClipLoader` node and select the heretic file
### With Transformers
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model = AutoModelForCausalLM.from_pretrained(
"DreamFast/qwen3-4b-heretic",
device_map="auto",
torch_dtype=torch.bfloat16
)
tokenizer = AutoTokenizer.from_pretrained("DreamFast/qwen3-4b-heretic")
prompt = "Describe a dramatic sunset over a cyberpunk city"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
### With llama.cpp
```bash
llama-server -m qwen3-4b-heretic-Q4_K_M.gguf
```
## Abliteration Process
Created using Heretic v1.2.0 with 200 optimization trials:
```
? Which trial do you want to use?
> [Trial 96] Refusals: 3/100, KL divergence: 0.0000 <-- selected
[Trial 90] Refusals: 5/100, KL divergence: 0.0000
[Trial 95] Refusals: 9/100, KL divergence: 0.0000
[Trial 122] Refusals: 90/100, KL divergence: 0.0000
...
```
Trial 96 was selected for having the fewest refusals (3/100) with zero measurable KL divergence, indicating the abliteration surgically removed the refusal mechanism with no damage to model capabilities.
## Limitations
- This model inherits all limitations of the base Qwen 3 4B model
- Abliteration reduces but does not completely eliminate refusals (3/100 remain)
## License
This model is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0), following the base Qwen 3 4B model license.
## Acknowledgments
- [Qwen](https://huggingface.co/Qwen) for the Qwen 3 4B model
- [Heretic](https://github.com/p-e-w/heretic) by p-e-w for the abliteration tool
- [Tongyi-MAI Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image) for Z-Image
- [Black Forest Labs](https://huggingface.co/black-forest-labs) for FLUX.2 Klein

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{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0].role == 'system' %}
{{- messages[0].content + '\n\n' }}
{%- endif %}
{{- "# 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>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
{%- endif %}
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{%- for message in messages[::-1] %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- 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>')) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if message.content is string %}
{%- set content = message.content %}
{%- else %}
{%- set content = '' %}
{%- endif %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is string %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '</think>' in content %}
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
{%- if loop.index0 > ns.last_query_index %}
{%- if loop.last or (not loop.last and 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' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '<think>\n\n</think>\n\n' }}
{%- endif %}
{%- endif %}

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"use_cache": true,
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