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VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits
Large Language Models (LLMs) have achieved remarkable success but face significant computational and memory challenges, particularly due to their extensive output vocabularies. The final linear projection layer, mapping hidden states to vocabulary-sized logits, often constitutes a substantial portio
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