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TsinghuaC3I/Qwen2.5-7B-VL-ReAd-R
Qwen2.5-7B-VL-ReAd-R is a machine learning model from TsinghuaC3I. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
ReAd-R is a Qwen2.5-VL-7B based video understanding model fine-tuned with GRPO reinforcement learning for advertisement video reasoning. On the AdsQA benchmark, it achieves 25.0% strict / 51.5% relaxed accuracy, outpe…
Downloads · 30 days
256
47% of all-time downloads
All-time downloads
548
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From the Hugging Face model README
ReAd-R is a Qwen2.5-VL-7B based video understanding model fine-tuned with GRPO reinforcement learning for advertisement video reasoning. On the AdsQA benchmark, it achieves 25.0% strict / 51.5% relaxed accuracy, outperforming open-source multimodal baselines of similar size. AdsQA contains 1,544 videos, 10,962 clips, and 22.7 hours of content across five high-level tasks.