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---
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 670 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-lg")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```