---
base_model: MultiverseComputingCAI/Qwen3-Next-80B-A3B-Thinking-Uncensored
pipeline_tag: text-generation
tags:
- uncensored
- abliteration
- mlx
- mlx-my-repo
license: apache-2.0
---

# McG-221/Qwen3-Next-80B-A3B-Thinking-Uncensored-mlx-4Bit

The Model [McG-221/Qwen3-Next-80B-A3B-Thinking-Uncensored-mlx-4Bit](https://huggingface.co/McG-221/Qwen3-Next-80B-A3B-Thinking-Uncensored-mlx-4Bit) was converted to MLX format from [MultiverseComputingCAI/Qwen3-Next-80B-A3B-Thinking-Uncensored](https://huggingface.co/MultiverseComputingCAI/Qwen3-Next-80B-A3B-Thinking-Uncensored) using mlx-lm version **0.28.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("McG-221/Qwen3-Next-80B-A3B-Thinking-Uncensored-mlx-4Bit")

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)
```