ahmedheakl/random

self-evolve — artifacts for a self-improving 2B vision-language model Everything here comes from one project: can a Qwen3-VL-2B-Instruct model improve at vision-language benchmarks by writing and answering its own questions about unlabeled images, with no human questions and no human answers anywhere in the loop? Contents let you (A) reproduce a reported score in ~30 minutes with no training, (B) rerun the training that produced it, (C) run the other arms, and (D) regenerate… See the full description on the dataset page: https://huggingface.co/datasets/ahmedheakl/random.

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