---
base_model: sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview
library_name: transformers
tags:
- mergekit
- merge
- mlx
---
> [!WARNING]
> **Tinkering in progress!**
> 
> This model is a work in progress and likely is not yet returning valid output.
# sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX

The Model [sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX](https://huggingface.co/sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX) was
converted to MLX format from [sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview](https://huggingface.co/sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview)
using mlx-lm version **0.22.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX")

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)
```