StreamingLLM: Efficient Framework for Infinite Sequence Length Generalization
Discover how StreamingLLM revolutionizes language modeling by enabling LLMs to generalize to infinite sequence length without fine-tuning, outperforming sliding window recomputation by up to 22.2x speedup. Optimize models like Llama-2, MPT, Falcon, and Pythia for stable and efficient performance with up to 4 million tokens using StreamingLLM, enhanced by a placeholder token for improved streaming deployment.
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