---
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE
language:
- en
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
pipeline_tag: text-generation
library_name: mlx
tags:
- code
- codeqwen
- chat
- qwen
- qwen-coder
- mlx
---

# arthurcollet/Qwen2.5-Coder-7B-Instruct-mlx-nvfp4

This model [arthurcollet/Qwen2.5-Coder-7B-Instruct-mlx-nvfp4](https://huggingface.co/arthurcollet/Qwen2.5-Coder-7B-Instruct-mlx-nvfp4) was
converted to MLX format from [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)
using mlx-lm version **0.30.7**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("arthurcollet/Qwen2.5-Coder-7B-Instruct-mlx-nvfp4")

prompt = "hello"

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

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