---
license: mit
thumbnail: https://cdn-uploads.huggingface.co/production/uploads/6625f4a8a8d1362ebcc3851a/9TIfNBdy29CDnn8NNIQPt.jpeg
language:
- en
base_model: ArliAI/R1-8B-ArliAI-RpR-v2
tags:
- mlx
---

# fengpeisheng1/R1-8B-ArliAI-RpR-v2-mlx-3Bit

The Model [fengpeisheng1/R1-8B-ArliAI-RpR-v2-mlx-3Bit](https://huggingface.co/fengpeisheng1/R1-8B-ArliAI-RpR-v2-mlx-3Bit) was converted to MLX format from [ArliAI/R1-8B-ArliAI-RpR-v2](https://huggingface.co/ArliAI/R1-8B-ArliAI-RpR-v2) 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("fengpeisheng1/R1-8B-ArliAI-RpR-v2-mlx-3Bit")

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)
```