---
base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
tags:
- mlx
---

# WaveCut/deepseek-ai_DeepSeek-R1-Distill-Llama-70B_MLX-4bit

The Model [WaveCut/deepseek-ai_DeepSeek-R1-Distill-Llama-70B_MLX-4bit](https://huggingface.co./WaveCut/deepseek-ai_DeepSeek-R1-Distill-Llama-70B_MLX-4bit) 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 **0.21.1**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("WaveCut/deepseek-ai_DeepSeek-R1-Distill-Llama-70B_MLX-4bit")

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)
```