Create README.md

README.md

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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 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)
+```