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 was
converted to MLX format from UnfilteredAI/DAN-L3-R1-8B
using mlx-lm version 0.29.1.
Use with mlx
With the uv version:
# Init the repository
uv init .
# Add the dependencies:
uv add mlx-lm
With the pip version:
pip install mlx-lm
Create a python file (ex: main.py)
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:
# uv version
uv run python main.py