metadata

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 was converted to MLX format from 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

pip install mlx-lm

from mlx_lm import load, generate

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