---
license: gemma
library_name: transformers
tags:
- mlx
widget:
- messages:
  - role: user
    content: How does the brain work?
inference:
  parameters:
    max_new_tokens: 200
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
  agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging
  Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license
---

# mlx-community/gemma-1.1-2b-it-4bit
This model was converted to MLX format from [`google/gemma-1.1-2b-it`](https://huggingface.co/google/gemma-1.1-2b-it) using mlx-lm version **0.6.0**.

Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).

Refer to the [original model card](https://huggingface.co/google/gemma-1.1-2b-it) for more details on the model.
## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/gemma-1.1-2b-it-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```