---
library_name: transformers
license: other
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms
tags:
- mlx
- 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
---

# david4096/gemma-2b-finetune-graph-genome

The Model [david4096/gemma-2b-finetune-graph-genome](https://huggingface.co/david4096/gemma-2b-finetune-graph-genome) was converted to MLX format from [mlx-community/quantized-gemma-2b-it](https://huggingface.co/mlx-community/quantized-gemma-2b-it) using mlx-lm version **0.16.0**.

It was trained on text from about 180 papers with the phrase "graph genome" in them from biorxiv.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("david4096/gemma-2b-finetune-graph-genome")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```