GeoLLaVA-8K represents a significant advancement in the field of remote sensing by enabling the processing of ultra-high-resolution imagery up to 8K resolution. This model addresses the challenge of token explosion, which has previously limited the effective analysis of large-scale Earth observation data. To support this development, the introduction of two new datasets, SuperRS-VQA and HighRS-VQA, enhances data availability and facilitates improved model training and evaluation. These datasets are specifically designed to complement GeoLLaVA-8K’s capabilities, enabling more accurate and efficient visual question answering tasks in remote sensing applications. The model’s ability to handle higher resolution imagery paves the way for more detailed and comprehensive Earth observation, which is critical for various environmental and geospatial analyses. Overall, GeoLLaVA-8K and its associated datasets mark a positive step forward in scaling multimodal large language models for remote sensing purposes. This progress aligns with ongoing efforts to improve AI-driven Earth observation technologies.