---
license: apache-2.0
language:
- en
pipeline_tag: image-text-to-text
tags:
- multimodal
- mlx
- mlx-my-repo
library_name: transformers
base_model: Qwen/Qwen2.5-VL-7B-Instruct
---

# prolucio/Qwen2.5-VL-7B-Instruct-mlx-4Bit

The Model [prolucio/Qwen2.5-VL-7B-Instruct-mlx-4Bit](https://huggingface.co/prolucio/Qwen2.5-VL-7B-Instruct-mlx-4Bit) was converted to MLX format from [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) using mlx-lm version **0.26.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("prolucio/Qwen2.5-VL-7B-Instruct-mlx-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)
```