---
language:
- en
- ko
license: llama3.1
tags:
- llama-3.1
- ncsoft
- varco
- mlx
base_model: NCSOFT/Llama-VARCO-8B-Instruct
library_name: transformers
---

# sosoai/Llama-VARCO-8B-Instruct-mlx

The Model [sosoai/Llama-VARCO-8B-Instruct-mlx](https://huggingface.co./sosoai/Llama-VARCO-8B-Instruct-mlx) was
converted to MLX format from [NCSOFT/Llama-VARCO-8B-Instruct](https://huggingface.co./NCSOFT/Llama-VARCO-8B-Instruct)
using mlx-lm version **0.21.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("sosoai/Llama-VARCO-8B-Instruct-mlx")

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)
```