metadata

library_name: transformers
license: gemma
license_link: https://ai.google.dev/gemma/terms
pipeline_tag: text-generation
tags:
  - mlx
extra_gated_heading: Access CodeGemma on Hugging Face
extra_gated_prompt: >-
  To access CodeGemma 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
widget:
  - text: >
      <start_of_turn>user Write a Python function to calculate the nth fibonacci
      number.<end_of_turn> <start_of_turn>model
inference:
  parameters:
    max_new_tokens: 200

ipetrukha/codegemma-1.1-7b-it-4bit

The Model ipetrukha/codegemma-1.1-7b-it-4bit was converted to MLX format from google/codegemma-1.1-7b-it using mlx-lm version 0.16.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("ipetrukha/codegemma-1.1-7b-it-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)