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Medusa predicts N tokens in speculative decoding and trains N lheads,In actual deployments, only ResidualBlock is usually trained, not lm_head.So I just keep a copy of lm_head and share it in different heads. In practice, every lm_head saved will reduce 1G of HBM, which is crucial on graphics cards such as the 4090.At the same time, medusa can be predicted longer.