---
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
---

# batmac/gemma-1.1-7b-it-mlx-4bit
This model was converted to MLX format from [`google/gemma-1.1-7b-it`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/google/gemma-1.1-7b-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("batmac/gemma-1.1-7b-it-mlx-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```