200K-Token LLM Serving on a 24 GiB Laptop with Just-in-Time State Management (arxiv.org)

Researchers have introduced JustFit, an innovative inference runtime designed to enable a 200K-token large language model (LLM) to operate effectively on a 24 GiB laptop. By leveraging a combination of advanced mechanisms like KVExec for compressed key-value execution, PhaseSwap for efficient component management, and StateTrans for state-preserving transitions, JustFit significantly enhances the local serving capacity of large models, allowing for impressive context expansion. In trials on a MacBook M4 Pro with the Qwen3.8-27B MXFP4 model, JustFit achieved a context completion of 212,992 tokens, a dramatic increase from traditional limits. This development is pivotal for the AI/ML community as it opens up possibilities for running extensive models on everyday hardware, making advanced AI capabilities more accessible. Particularly, JustFit demonstrates a new paradigm of just-in-time state management, enabling robust local inference without demanding extensive memory resources. The integrated runtime not only excelled in handling complex inputs and outputs but also showcased a high accuracy rate in real-world problem-solving scenarios, indicating the future viability of local model deployment in various applications.