---
base_model: rinna/gemma-2-baku-2b-it
language:
- ja
- en
license: gemma
tags:
- gemma2
- conversational
- mlx
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
base_model_relation: merge
---

# thr3a/gemma-2-baku-2b-it-mlx

The Model [thr3a/gemma-2-baku-2b-it-mlx](https://huggingface.co/thr3a/gemma-2-baku-2b-it-mlx) was converted to MLX format from [rinna/gemma-2-baku-2b-it](https://huggingface.co/rinna/gemma-2-baku-2b-it) using mlx-lm version **0.19.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("thr3a/gemma-2-baku-2b-it-mlx")

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)
```