1.1 KiB
1.1 KiB
pipeline_tag, language, tags, library_name, base_model, license
| pipeline_tag | language | tags | library_name | base_model | license | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| text-generation |
|
|
mlx | UnfilteredAI/DAN-L3-R1-8B | 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