TokenGate enables end-to-end learnable token pruning to speed and memory-optimize prefill for long-context inputs.
Read the original at www.reddit.com→Expert human readers process large inputs (e.g., code repositories and long documents) by skimming to closely read only what matters. On the other hand, language models process all input tokens through each model...
Original headline: "[Paper] TokenGate: Adapting LLMs for Fast and Memory-Efficient Prefill with Learned Token Pruning"
Coverage timeline
- Oct 21, 11:49 UTC r/LocalLLaMA lead source [Paper] TokenGate: Adapting LLMs for Fast and Memory-Efficient Prefill with Learned Token Pruning