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---
base_model: m42-health/Llama3-Med42-8B
language:
- en
license: llama3
license_name: llama3
pipeline_tag: text-generation
tags:
- m42
- health
- healthcare
- clinical-llm
- mlx
inference: false
---
# mlx-community/Llama3-Med42-8B
The Model [mlx-community/Llama3-Med42-8B](https://huggingface.co/mlx-community/Llama3-Med42-8B) was
converted to MLX format from [m42-health/Llama3-Med42-8B](https://huggingface.co/m42-health/Llama3-Med42-8B)
using mlx-lm version **0.20.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Llama3-Med42-8B")
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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