CITATION.cff

# This CITATION.cff file has been updated to reflect the current focus of maestro.
# If you use maestro for vision-language model fine-tuning, please cite it using the metadata provided below.

cff-version: 1.2.0
title: maestro
message: >-
  If you use maestro for vision-language model fine-tuning, please cite it using the metadata provided below.
type: software
authors:
  - given-names: Roboflow
    email: support@roboflow.com
repository-code: 'https://github.com/roboflow/maestro'
url: 'https://roboflow.github.io/maestro/'
abstract: >-
  maestro is a streamlined tool for fine-tuning vision-language models.
  It encapsulates best practices for configuration, data handling, reproducibility,
  and training loop setup, offering ready-to-use recipes for popular models such as
  Florence-2, PaliGemma 2, and Qwen2.5-VL.
keywords:
  - vision-language models
  - fine-tuning
  - multimodal
  - deep learning
license: MIT