最新模型
Mage-VL Selects Visual Tokens Directly from Video Encoding Data, Accelerating Streaming Multimodal Inference by Up to 3.5×
Microsoft’s Mage-VL replaces uniform video frame sampling with I/P frames, motion vectors, and residual energy, encoding only regions with significant changes. Its 4B model reportedly reduces visual tokens by more than 75% while preserving performance on static tasks, although speed and quality comparisons still come primarily from official tests.