VideoJev-4B video decision model released under Apache 2.0 license
Overview
ModelScope releases VideoJev-4B, a 4B-parameter video decision model based on Qwen3.5-4B from MCG-NJU, for video question answering and temporal grounding.
The model scores candidate answers and time spans directly. ModelScope says it ranks first among sub-6B models on LVBench, Video-MME, LongVideoBench, and MLVU, and supports up to 256K context in the official video QA evaluation setup.
The release includes BF16 weights, training and evaluation code, and a quick-start demo, under the Apache 2.0 license.
Written by AI from the articles below · updated Oct 19, 10:30 PM ET
Check the sources:
Article timeline
The articles in this story. Times are ET.
ModelScope@ModelScope2022OfficialVideoJev-4B, a 4B video decision model for QA and temporal groundingAIVideoJev-4B, a Qwen3.5-4B-based model from MCG-NJU, scores candidate answers and time spans directly for video question answering and temporal grounding. It ranks first among sub-6B models on LVBench, Video-MME, LongVideoBench, and MLVU, and supports up to 256K context in the official video QA evaluation setup. The model is released under Apache 2.0 with BF16 weights, training and evaluation code, and a quick-start demo.

Heat Trend
Not enough continuous observations to show a trend yet.