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README.md

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+---
+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)
+```