---
library_name: transformers
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
tags:
- mlx
---

# umgbhalla/mlx-DeepSeek-R1-Distill-Qwen-1.5B-v0.1-2bit

The Model [umgbhalla/mlx-DeepSeek-R1-Distill-Qwen-1.5B-v0.1-2bit](https://huggingface.co/umgbhalla/mlx-DeepSeek-R1-Distill-Qwen-1.5B-v0.1-2bit) was
converted to MLX format from [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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("umgbhalla/mlx-DeepSeek-R1-Distill-Qwen-1.5B-v0.1-2bit")

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)
```