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---
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)
```
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