README.md

---
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)
```