metadata
license: apache-2.0
pipeline_tag: video-text-to-text
library_name: transformers
Here, we introduce a small-scale video reasoning model TinyLLaVA-Video-R1, based on the traceably trained model TinyLLaVA-Video. After reinforcement learning on general Video-QA datasets, the model not only significantly improves its reasoning and thinking abilities, but also exhibits the emergent characteristic of “aha moments”.
Result
| Model (HF Path) | Video-MME(wo sub) | MVBench | MLVU | MMVU(mc) |
|---|---|---|---|---|
| Zhang199/TinyLLaVA-Video-R1 | 46.6 | 49.5 | 52.4 | 46.9 |