---
license: llama3.3
thumbnail: https://cdn-uploads.huggingface.co/production/uploads/6625f4a8a8d1362ebcc3851a/hIZ2ZcaDyfYLT9Yd4pfOs.jpeg
language:
- en
base_model: ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large
library_name: transformers
pipeline_tag: text-generation
tags:
- mlx
---

# dong-99/DS-R1-Distill-70B-ArliAI-RpR-v4-Large-mlx-4Bit

The Model [dong-99/DS-R1-Distill-70B-ArliAI-RpR-v4-Large-mlx-4Bit](https://huggingface.co/dong-99/DS-R1-Distill-70B-ArliAI-RpR-v4-Large-mlx-4Bit) was converted to MLX format from [ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large](https://huggingface.co/ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large) using mlx-lm version **0.22.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("dong-99/DS-R1-Distill-70B-ArliAI-RpR-v4-Large-mlx-4Bit")

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)
```