Nota unveiled on the 27th a dedicated slimming model for "Solar Open 2," the second-phase output of the government independent AI foundation model project it is undertaking with Upstage. Solar Open 2 is a large language model (LLM) with a total of 250 billion parameters, activating only 15 billion as a "mixture of experts (MoE)" architecture. Nota converted the model weights into a 4-bit format and selectively pruned lower-importance computation modules, cutting the original model's weight memory by about 76.5%, from 500.6 gigabytes (GB) to 117.8 GB. Based on memory capacity, it optimized the original model, which had required eight Nvidia H100 graphics processing units (GPUs), to run even in a two-GPU environment. Nota Chief Technology Officer (CTO) Kim Tae-ho stated the optimization enables corporations to actually adopt the large-scale MoE model. The dedicated slimming model for Solar Open 2 can be found on the open-source AI platform Hugging Face.