roboflow/maestro
A streamlined fine-tuning tool for multimodal vision-language models including Florence-2, PaliGemma 2, and Qwen2.5-VL.
Not currently ranked — collecting fresh signals.
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maestro encapsulates best practices for configuring, loading data, ensuring reproducibility, and setting up training loops when fine-tuning vision-language models. It provides ready-to-use recipes for popular VLMs and is designed to accelerate the fine-tuning process for multimodal AI systems.
Frequently asked
- What is roboflow/maestro?
- A streamlined fine-tuning tool for multimodal vision-language models including Florence-2, PaliGemma 2, and Qwen2.5-VL.
- Is maestro open source?
- Yes — roboflow/maestro is open source, released under the Apache-2.0 license.
- What language is maestro written in?
- roboflow/maestro is primarily written in Python.
- How popular is maestro?
- roboflow/maestro has 2.7k stars on GitHub.
- Where can I find maestro?
- roboflow/maestro is on GitHub at https://github.com/roboflow/maestro.