---
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
