LoopVQ enables sub 1-bit KV cache quantization for looped transformers
LoopVQ quantizes KV cache at 0.5 bits per element for looped transformers, nearly halving decode latency at 32K context.
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LoopVQ quantizes KV cache at 0.5 bits per element for looped transformers, nearly halving decode latency at 32K context.
LoL uses a single hyperparameter for its global layer library to generalize dense, recurrent, and mixture-of-experts architectures with distinct ordering for different tasks.

Princeton researcher Yifan Zhang proposes Recurrent Looped Transformer, carrying full decoder state across every token for unbounded temporal depth.
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