---
license: mit
library_name: transformers
base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
tags:
- mlx
---

# maus/DeepSeek-R1-Distill-Llama-70B-Q4-mlx

The Model [maus/DeepSeek-R1-Distill-Llama-70B-Q4-mlx](https://huggingface.co/maus/DeepSeek-R1-Distill-Llama-70B-Q4-mlx) was converted to MLX format from [deepseek-ai/DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B) 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("maus/DeepSeek-R1-Distill-Llama-70B-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)
```