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---
license: mit
train: false
inference: true
pipeline_tag: text-generation
base_model: mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-1.5B-v1.0
tags:
- mlx
---
# jay16/deepseek-r1-quantized
The Model [jay16/deepseek-r1-quantized](https://huggingface.co/jay16/deepseek-r1-quantized) was
converted to MLX format from [mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-1.5B-v1.0](https://huggingface.co/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-1.5B-v1.0)
using mlx-lm version **0.21.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("jay16/deepseek-r1-quantized")
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)
```
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