README.md

---
base_model: FuseAI/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview
tags:
- mlx
---

# mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview-4bit

The Model [mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview-4bit](https://huggingface.co/mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview-4bit) was converted to MLX format from [FuseAI/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview](https://huggingface.co/FuseAI/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview) using mlx-lm version **0.20.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview-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)
```