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InfLLM, a THUNLP research project, unveils the intrinsic capacity of LLMs for understanding extremely long sequences using training-free memory. The GitHub repo provides code and updates focused on faster inference, reduced GPU memory usage, and features like FAISS-based top-k retrieval and LLaMA 3 support. It aims to enable LLMs to handle long documents and streaming inputs by capturing long-range dependencies beyond standard maximum lengths without additional training.
AI named InfLLM in November 2025.