Downloads · 30 days
157
7% of all-time downloads
mlx-community/DeepSeek-R1-Distill-Qwen-7B-abliterated-4bit
DeepSeek-R1-Distill-Qwen-7B-abliterated-4bit is a machine learning model from mlx-community. 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 gpl-3.0.
The Model mlx-community/DeepSeek-R1-Distill-Qwen-7B-abliterated-4bit was converted to MLX format from Orion-zhen/DeepSeek-R1-Distill-Qwen-7B-abliterated using mlx-lm version 0.20.6.
Downloads · 30 days
157
7% of all-time downloads
All-time downloads
2.1K
Public
Parameters
7.6B
4.3 GB on disk
Likes
2
Public
Click a slice to open those files.
.safetensors4.3 GB · 100%
How the weights are stored.
U327.6B · 100%
From the Hugging Face model README
The Model mlx-community/DeepSeek-R1-Distill-Qwen-7B-abliterated-4bit was converted to MLX format from Orion-zhen/DeepSeek-R1-Distill-Qwen-7B-abliterated using mlx-lm version 0.20.6.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-7B-abliterated-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)