metadata
license: other
library_name: transformers
tags:
- mlx
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-quantized
This model was converted to MLX format from google/gemma-2b.
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Siddartha10/gemma-2b-quantized")
response = generate(model, tokenizer, prompt="hello", verbose=True)