metadata

license: gemma
library_name: transformers
tags:
  - mlx
widget:
  - messages:
      - role: user
        content: How does the brain work?
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

mlx-community/gemma-1.1-2b-it-4bit

This model was converted to MLX format from google/gemma-1.1-2b-it using mlx-lm version 0.4.0. 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("mlx-community/gemma-1.1-2b-it-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)