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---
base_model: huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated
library_name: transformers
tags:
- abliterated
- uncensored
- mlx
- mlx-my-repo
---
# AlfRjw/DeepSeek-R1-Distill-Llama-8B-abliterated-Q4-mlx
The Model [AlfRjw/DeepSeek-R1-Distill-Llama-8B-abliterated-Q4-mlx](https://huggingface.co/AlfRjw/DeepSeek-R1-Distill-Llama-8B-abliterated-Q4-mlx) was converted to MLX format from [huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated) using mlx-lm version **0.20.5**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("AlfRjw/DeepSeek-R1-Distill-Llama-8B-abliterated-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)
```
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