Slim attention: cut your context memory in half without loss -- K-cache is all you need for MHA

arXiv:2503.05840 · cs.LG · Submitted 2025-03-07 · Read on arXiv

cs.LG

Submitted: 2025-03-07

Updated: 2026-10-30

Terminology

• Transformer — 4× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Decoder — 1× in this paper · explained in 2 episodes
• Transformer Model — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 3 episodes
• Transformers — 1× in this paper · explained in 2 episodes

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