---
license: apache-2.0
tags:
- mlx
base_model: FuseAI/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview
---

# bobig/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-4.5bit

The Model [bobig/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-4.5bit](https://huggingface.co/bobig/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-4.5bit) 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 **0.21.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("bobig/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-4.5bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```