maestro-1.0.0

🚀 Added

• The VLMs field is evolving rapidly, making it tough to keep up. Maestro currently supports Florence-2, PaliGemma 2, and Qwen2.5-VL, and we'll strive to add key VLMs ASAP.

• VLMs fine-tuning can be costly. Maestro's built-in support for LoRA, QLoRA, and graph freezing allows training larger models even on less powerful hardware.

• VLMs fine-tuning requires lots of code. Maestro simplifies this complexity with single CLI/SDK calls.

• VLMs lack a unified approach. Maestro uses a consistent input format (JSONL now, COCO and YOLO coming soon) to minimize data formatting headaches.

🏆 Contributors

@onuralpszr (Onuralp SEZER), @SkalskiP (Piotr Skalski)