๐Ÿฆ Twitter Post Details

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@DAlistarh

We are introducing Quartet, a fully FP4-native training method for Large Language Models, achieving optimal accuracy-efficiency trade-offs on NVIDIA Blackwell GPUs! Quartet can be used to train billion-scale models in FP4 faster than FP8 or FP16, at matching accuracy. [1/4] https://t.co/gggPqEgcPZ

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                              "full_text": "@DAlistarh Suggestions for improvement: \n1. layerwise Adaptive FP4 Layerwise FP4-Attention Scaling\nCore Idea:not all layers require the same level of numerical precision, introduce dynamically scaled FP4 depending on each layerโ€™s sensitivity to quantization",
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                              "full_text": "@DAlistarh .... token-dependent routing logic\nExample:\nMoE (Mixture-of-Experts) architecture with FP4 and FP8 experts\nTokens with high entropy or uncertainty get routed to FP8 paths\ngoal: Use high precision only when truly necessary, generalizing at FP4",
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