---
license: other
library_name: transformers
tags:
- mlx
widget:
- text: '<start_of_turn>user

    How does the brain work?<end_of_turn>

    <start_of_turn>model

    '
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
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms
---

# Siddartha10/gemma-2b-it_sarvam_ai_dataset
This model was converted to MLX format from [`google/gemma-2b-it`]().
Refer to the [original model card](https://huggingface.co/google/gemma-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("Siddartha10/gemma-2b-it_sarvam_ai_dataset")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```