The datasets behind our Qwen3-VL-8B video RLVR runs: the base 24f/100k mixture and the HopChain v5 multi-hop corpora.
Nguyen Quang Trung
ngqtrung
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Video RLVR — final training dataOrganizations
Qwen3-VL-8B GRPO RLVR checkpoints from a token-dropout exploration study. OMR ppexplore=winner (0.714); video ~0.485 dead-heat.
Raw multi-style distilled traces, the pre-distillation template seed, and the never-trained real-audio eval.
Every published checkpoint of the 8B video-QA GRPO campaign, ranked by core-3 mean_accuracy (5,645 rows). Untrained base = 0.4426.
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ngqtrung/video-8b-grpo-n16-warm-explore
Video-Text-to-Text • 9B • Updated • 14 -
ngqtrung/video-8b-grpo-base
Image-Text-to-Text • 9B • Updated • 6 -
ngqtrung/video-8b-grpo-ppexplore-n16k8
Image-Text-to-Text • 9B • Updated • 4 -
ngqtrung/video-8b-grpo-ppexplore
Image-Text-to-Text • 9B • Updated • 4
Curated SFT + GRPO RL datasets (video MC-QA, OMR math-image, OpenMMReasoner-RL, Vero) for Qwen3-VL-8B post-training.
Train-ready VMAR datasets: teacher-distilled SFT corpus, RL prompt set, and the curated in-loop eval benchmark.
The datasets behind our Qwen3-VL-8B video RLVR runs: the base 24f/100k mixture and the HopChain v5 multi-hop corpora.
Every published checkpoint of the 8B video-QA GRPO campaign, ranked by core-3 mean_accuracy (5,645 rows). Untrained base = 0.4426.
-
ngqtrung/video-8b-grpo-n16-warm-explore
Video-Text-to-Text • 9B • Updated • 14 -
ngqtrung/video-8b-grpo-base
Image-Text-to-Text • 9B • Updated • 6 -
ngqtrung/video-8b-grpo-ppexplore-n16k8
Image-Text-to-Text • 9B • Updated • 4 -
ngqtrung/video-8b-grpo-ppexplore
Image-Text-to-Text • 9B • Updated • 4
Qwen3-VL-8B GRPO RLVR checkpoints from a token-dropout exploration study. OMR ppexplore=winner (0.714); video ~0.485 dead-heat.
Curated SFT + GRPO RL datasets (video MC-QA, OMR math-image, OpenMMReasoner-RL, Vero) for Qwen3-VL-8B post-training.
Raw multi-style distilled traces, the pre-distillation template seed, and the never-trained real-audio eval.
Train-ready VMAR datasets: teacher-distilled SFT corpus, RL prompt set, and the curated in-loop eval benchmark.