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

# mlx-community/gemma-2-baku-2b-it-4bit

The Model [mlx-community/gemma-2-baku-2b-it-4bit](https://huggingface.co/mlx-community/gemma-2-baku-2b-it-4bit) 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 **0.17.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/gemma-2-baku-2b-it-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```