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mlx-community/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-Q4-mlx
DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-Q4-mlx is a text generation model from mlx-community. Use it when you need the model to write or continue text. It is set up for transformers.
The Model ubaitur5/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-Q4-mlx was converted to MLX format from huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 using mlx-lm version 0.20.5.
Downloads · 30 days
212
7% of all-time downloads
All-time downloads
3.2K
Public
Parameters
14.8B
8.3 GB on disk
Likes
2
Public
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.safetensors8.3 GB · 100%
How the weights are stored.
U3214.8B · 100%
From the Hugging Face model README
The Model ubaitur5/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-Q4-mlx was converted to MLX format from huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 using mlx-lm version 0.20.5.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ubaitur5/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-Q4-mlx")
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)