---
pipeline_tag: text-generation
language:
- en
tags:
- UnfilteredAI
- DAN
- NSFW
- Unfiltered
- Toxic-AI
- not-for-all-audiences
- Llama3
- mlx
library_name: mlx
base_model: UnfilteredAI/DAN-L3-R1-8B
license: apache-2.0
---

# Vlor999/UnfilteredAI-DAN-L3-R1-8B

This model [Vlor999/UnfilteredAI-DAN-L3-R1-8B](https://huggingface.co/Vlor999/UnfilteredAI-DAN-L3-R1-8B) was
converted to MLX format from [UnfilteredAI/DAN-L3-R1-8B](https://huggingface.co/UnfilteredAI/DAN-L3-R1-8B)
using mlx-lm version **0.29.1**.

## Use with mlx

With the **uv** version:
```bash
# Init the repository
uv init .
# Add the dependencies:
uv add mlx-lm
```

With the **pip** version:
```bash
pip install mlx-lm
```

Create a python file (ex: main.py)
```python
from mlx_lm import load, generate

model, tokenizer = load("Vlor999/UnfilteredAI-DAN-L3-R1-8B")

prompt = "hello"

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

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

To run it:
```bash
# uv version
uv run python main.py
```