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maestro
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maestro

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

by roboflow · GitHub
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captioningfine-tuningflorence-2Apache-2.0Python
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Simplify the process of fine-tuning multimodal models with ready-to-use configurations and training setups.

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2 6842 680
2026-07-072026-08-31
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streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

maestro has 2.7k stars on GitHub. It has been forked 222 times. maestro is written mainly in Python. It has been in active development since 2023. maestro is available under the Apache-2.0 license. Its main topics are captioning, fine-tuning, florence-2, multimodal.

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What is maestro?

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

Is maestro open source?

maestro is an open-source project. It is released under the Apache-2.0 license.

Is maestro free?

Yes. maestro is free and open source — you can use, modify and self-host it.

What license does maestro use?

maestro is available under the Apache-2.0 license.

What language is maestro written in?

maestro is written mainly in Python.

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