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)