初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/MediPhi-Instruct-bf16
Source: Original Platform

README.md

@@ -0,0 +1,50 @@
+---
+license: mit
+datasets:
+- microsoft/mediflow
+- ncbi/pubmed
+- epfl-llm/guidelines
+- starmpcc/Asclepius-Synthetic-Clinical-Notes
+- akemiH/NoteChat
+- zhengyun21/PMC-Patients
+- jpcorb20/medical_wikipedia
+language:
+- en
+base_model: microsoft/MediPhi-Instruct
+library_name: mlx
+tags:
+- merge
+- mergekit
+- medical
+- clinical
+- mlx
+pipeline_tag: text-generation
+---
+
+# mlx-community/MediPhi-Instruct-bf16
+
+This model [mlx-community/MediPhi-Instruct-bf16](https://huggingface.co/mlx-community/MediPhi-Instruct-bf16) was
+converted to MLX format from [microsoft/MediPhi-Instruct](https://huggingface.co/microsoft/MediPhi-Instruct)
+using mlx-lm version **0.25.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/MediPhi-Instruct-bf16")
+
+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)
+```