metadata

license: gemma
library_name: transformers
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
pipeline_tag: text-generation
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
license_link: https://ai.google.dev/gemma/terms

mlx-community/codegemma-7b-it-8bit

This model was converted to MLX format from google/codegemma-7b-it using mlx-lm version 0.8.0. 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/codegemma-7b-it-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)