metadata

language:
  - code
tags:
  - generated_from_trainer
  - code
  - coding
  - gemma
  - mlx
datasets:
  - HuggingFaceH4/CodeAlpaca_20K
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms
thumbnail: https://huggingface.co/mrm8488/gemma-2b-coder/resolve/main/logo.png
pipeline_tag: text-generation
model-index:
  - name: gemma-2b-coder
    results: []

mlx-community/gemma-2b-coder

This model was converted to MLX format from MAISAAI/gemma-2b-coder. 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-2b-coder")
response = generate(model, tokenizer, prompt="hello", verbose=True)