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BitMTP: When Multi-Token Prediction Meets Low-Bit Large Language Models
and-cluster-computingartificial-intelligencecomputation-and-languagedistributedmachine-learningparallel
For efficient deployment of large language models (LLMs), methods of ultra-low-bit backbones reduce weight storage, memory traffic, and linear-layer execution cost, while multi-token prediction (MTP) methods reduce sequential decoding steps by predicting multiple future tokens in parallel. Although
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