Runs a 24B-parameter mixture-of-experts reasoning model with only ~2B active parameters per token for fast on-device agentic workflows; provides a 131K-token context and 128K vocabulary, post-trained for tool calling and agentic RL—pair with retrieval for knowledge-heavy tasks.
Converts pretrained multimodal LLMs into a System One decision interface that outputs structured, software-friendly decisions for video (temporal spans or multiple-choice answers); uses a shared scoring head and cached/joint inference to raise temporal-grounding mIoU and drastically speed up repeated queries.