Multimodal Mixture-of-Experts foundation model for long-context agent workloads — supports up to 1M-token contexts and uses aggressive KV-cache compression (FP4 + cross-layer reuse) to reduce memory and storage footprint while improving reasoning, coding and vision benchmark performance.