#MInference

Achieve significantly faster processing for long-context language models through dynamic sparse attention. This method increases efficiency for models like LLaMA-3 and GLM-4, preserving accuracy for intricate language tasks. MInference is compatible with a broad range of models, offering adaptability in computational processes. Recognized at NeurIPS'24, and compatible with platforms like Hugging Face, MInference 1.0 presents modern advancements in AI processing, enhancing long-context LLM capabilities.