SloEpast-Lavava-1.5: Token-Perice-Period-Period video Video Models Long-Language Video Language Models

We introduce Slowfast-Lava-1.5 (Delivered as SF-LLAVA-1.5), the Highest Videos of Language (LLMS) that provides a well-known Totchen-video solution. We include sloodlis Slow Sloud Sloulfap in a training pan, and we have made a mixed video training with a combination of data selected data in public datasets. Our main focus is a very efficient focus of (1B and 3b), which indicates that even the minimum video llms can reach climate performance in video understanding, dealing with the need for video models. The test results indicate that SF-LLAVA-1.5 accesss the high performance of video functions and photo functions, with strong results in all model sizes (from 1B to 7b). Significantly, SF-LLAVA-1.5 Accessing State-ART results with a long video understanding (eg