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---
base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
tags:
- mlx
---
# mlx-community/DeepSeek-R1-Distill-Llama-70B
The Model [mlx-community/DeepSeek-R1-Distill-Llama-70B](https://huggingface.co./mlx-community/DeepSeek-R1-Distill-Llama-70B) 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 **0.20.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Llama-70B")
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)
```
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