Downloads · 30 days
12
4% of all-time downloads
NeuralDaredevil-8B-abliterated-mlx-4Bit
nhe-ai/NeuralDaredevil-8B-abliterated-mlx-4Bit
NeuralDaredevil-8B-abliterated-mlx-4Bit is a machine learning model from nhe-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as llama3.
The Model nhe-ai/NeuralDaredevil-8B-abliterated-mlx-4Bit was converted to MLX format from mlabonne/NeuralDaredevil-8B-abliterated using mlx-lm version 0.22.1.
All-time downloads
267
Public
Parameters
8B
4.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors4.5 GB · 100%
Parameter types
How the weights are stored.
U328B · 100%
Base models
Datasets
Model card
From the Hugging Face model README
nhe-ai/NeuralDaredevil-8B-abliterated-mlx-4Bit
The Model nhe-ai/NeuralDaredevil-8B-abliterated-mlx-4Bit was converted to MLX format from mlabonne/NeuralDaredevil-8B-abliterated using mlx-lm version 0.22.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("nhe-ai/NeuralDaredevil-8B-abliterated-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)
- Library
- mlx
- Type
- llama
- License
- llama3
- Created
- Mar 24, 2025
- Updated
- Mar 24, 2025