---
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.6-27B/blob/main/LICENSE
pipeline_tag: image-text-to-text
tags:
- heretic
- uncensored
- decensored
- abliterated
- mpoa
- mtp
- mlx
- mlx-my-repo
base_model: llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved
---

# Wwayu/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-6Bit

The Model [Wwayu/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-6Bit](https://huggingface.co/Wwayu/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-6Bit) was converted to MLX format from [llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved](https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved) using mlx-lm version **0.31.2**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("Wwayu/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-6Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```