---
base_model: sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview
library_name: transformers
tags:
- mergekit
- merge
- mlx
---

# mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview-mixed_3_6

The Model [mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview-mixed_3_6](https://huggingface.co/mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview-mixed_3_6) was
converted to MLX format from [sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview](https://huggingface.co/sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview)
using mlx-lm version **0.21.5**.

## 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-14B-Preview-mixed_3_6")

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)
```