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DataFlex makes data-centric LLM training dramatically easier, unifying disparate methods for data selection, mixing, and reweighting into a single, efficient, and reproducible framework.
Sub-2-bit LLMs can now achieve state-of-the-art performance thanks to pQuant, which selectively preserves sensitive parameters in a high-precision branch during quantization-aware training.
Forget simplistic synthetic data: ChartVerse generates complex charts and reliable reasoning data from scratch, enabling an 8B model to outperform its 30B teacher in chart reasoning.
