Kimi-K2-Instruct-open-perfectblend-regenerate is a comprehensive synthetic dataset specifically curated to support the Kimi-K2-Instruct-eagle3 architecture.
Similar to its Ling-Flash counterpart, this dataset takes the 1.4 million samples from the Open-PerfectBlend dataset and regenerates the responses using the Kimi-K2-Instruct model. This distillation process ensures that the training data is perfectly aligned with the teacher model's probability distribution… See the full description on the dataset page:
https://huggingface.co/datasets/AQ-MedAI/Kimi-K2-Instruct-open-perfectblend-regenerate.
