---
license: mit
library_name: transformers
pipeline_tag: image-text-to-text
tags:
- medical
- multimodal
- report generation
- radiology
- clinical-reasoning
- MRI
- CT
- Histopathology
- X-ray
- Fundus
- mlx
- mlx-my-repo
base_model: lingshu-medical-mllm/Lingshu-7B
---

# introvoyz041/Lingshu-7B-mlx-fp16

The Model [introvoyz041/Lingshu-7B-mlx-fp16](https://huggingface.co/introvoyz041/Lingshu-7B-mlx-fp16) was converted to MLX format from [lingshu-medical-mllm/Lingshu-7B](https://huggingface.co/lingshu-medical-mllm/Lingshu-7B) using mlx-lm version **0.28.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("introvoyz041/Lingshu-7B-mlx-fp16")

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)
```