hybrid attention

  • LGAI-EXAONE/K-EXAONE-236B-A23B-GGUF Model Overview


    LGAI-EXAONE/K-EXAONE-236B-A23B-GGUF · Hugging FaceThe LGAI-EXAONE/K-EXAONE-236B-A23B-GGUF model is a highly efficient AI architecture featuring a 236 billion parameter design with 23 billion active parameters, optimized with Multi-Token Prediction (MTP) for enhanced inference throughput. It supports a 256K context window using a hybrid attention scheme, significantly reducing memory usage for long-document processing. The model offers multilingual support across six languages with an improved 150k vocabulary for better token efficiency and demonstrates advanced tool-use and search capabilities through multi-agent strategies. Additionally, it is aligned with universal human values and incorporates Korean cultural contexts to address regional sensitivities, ensuring high reliability across diverse risk categories. This matters because it represents a significant advancement in AI efficiency, multilingual capabilities, and cultural sensitivity, potentially impacting various applications and industries.

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