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YouTube — PyTorch Official

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Interchangeable KV Importance Signals under One Compiled FlexAttention Budget with FlexBudget

When you run a model over a long context, the KV cache gets huge, so you have to throw some of it away. There are competing rules for choosing what to drop: keep the most recent tokens, keep the ones that get the most attention, and so on. The problem is that every method ships…

YouTube — PyTorch OfficialBy: PyTorchOctober 14, 2026 (6 days ago)
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AI Summary & Key Takeaways

  • When you run a model over a long context, the KV cache gets huge, so you have to throw some of it away
  • There are competing rules for choosing what to drop: keep the most recent tokens, keep the ones that get the most attention, and so on
  • The problem is that every method ships…
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