VideoJev-4B brings direct decision-making to video understanding. Qwen3.5-4B based video decision model for temporal grounding and multiple-choice video QA.
🤖 https://modelscope.ai/models/MCG-NJU/VideoJev-4B
📄 https://modelscope.ai/papers/2610.18615
🏆 Video QA leader at its scale: Ranks #1 among sub-6B models on LVBench, Video-MME, LongVideoBench, and MLVU.
⚡ Direct decisions, not long generations: Scores candidate answers and time spans directly, making video QA and event localization easier to integrate into workflows.
🎬 Find the moment, pick the answer: Locates when an event occurs in video and answers multiple-choice questions with calibrated probabilities.
🧠 Long-video ready: Supports up to 256K context in the official video QA evaluation setup.
🛠️ Ready for local use: Released with BF16 weights, training and evaluation code, plus a quick-start demo.
📜 Apache 2.0.