---
library_name: mlx
license: llama3
language:
- ja
base_model: SakanaAI/Llama-3-Karamaru-v1
pipeline_tag: text-generation
tags:
- mlx
---

# mlx-community/Llama-3-Karamaru-v1

This model [mlx-community/Llama-3-Karamaru-v1](https://huggingface.co/mlx-community/Llama-3-Karamaru-v1) was
converted to MLX format from [SakanaAI/Llama-3-Karamaru-v1](https://huggingface.co/SakanaAI/Llama-3-Karamaru-v1)
using mlx-lm version **0.22.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Llama-3-Karamaru-v1")

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)
```