Does anyone have enough compute to make a distillation dataset out of GLM5.2?

The article discusses a community request for the creation of a large distillation dataset derived from the GLM 5.2 model, aiming for a size between 700,000 to 1 million examples. This dataset is intended to facilitate the training of smaller models, such as Qwen 3.5, enabling practitioners to develop more efficient and effective AI models. The initiative highlights the need for substantial computational resources to generate high-quality training data, which is crucial for advancing model performance in the AI community.