Naver has introduced HyperCLOVA X SEED Think, a 32-billion parameter open weights reasoning model, and HyperCLOVA X SEED 8B Omni, a unified multimodal model that integrates text, vision, and speech. These advancements are part of a broader trend in 2025 where local language models (LLMs) are evolving rapidly, with llama.cpp gaining popularity for its performance and flexibility. Mixture of Experts (MoE) models are becoming favored for their efficiency on consumer hardware, while new local LLMs are enhancing capabilities in vision and multimodal applications. Additionally, Retrieval-Augmented Generation (RAG) systems are being used to mimic continuous learning, and advancements in high-VRAM hardware are expanding the potential of local models. This matters because it highlights the ongoing innovation and accessibility in AI technologies, making advanced capabilities more available to a wider range of users.
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