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---
license: mit
language:
- en
base_model: microsoft/MediPhi-MedCode
library_name: transformers
tags:
- merge
- mergekit
- medical
- clinical
- mlx
- mlx-my-repo
---
# jc2375/MediPhi-MedCode-mlx-8Bit
The Model [jc2375/MediPhi-MedCode-mlx-8Bit](https://huggingface.co/jc2375/MediPhi-MedCode-mlx-8Bit) was converted to MLX format from [microsoft/MediPhi-MedCode](https://huggingface.co/microsoft/MediPhi-MedCode) 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("jc2375/MediPhi-MedCode-mlx-8Bit")
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)
```
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