---
base_model: Skywork/Skywork-OR1-32B-Preview
datasets:
- Skywork/Skywork-OR1-RL-Data
tags:
- mlx
---

# cs2764/Skywork-OR1-32B-Preview-mlx-8Bit

The Model [cs2764/Skywork-OR1-32B-Preview-mlx-8Bit](https://huggingface.co/cs2764/Skywork-OR1-32B-Preview-mlx-8Bit) was converted to MLX format from [Skywork/Skywork-OR1-32B-Preview](https://huggingface.co/Skywork/Skywork-OR1-32B-Preview) using mlx-lm version **0.22.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("cs2764/Skywork-OR1-32B-Preview-mlx-8Bit")

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)
```