Instructions to use Video-R1/Video-R1-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Video-R1/Video-R1-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Video-R1/Video-R1-7B") model = AutoModelForMultimodalLM.from_pretrained("Video-R1/Video-R1-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add LongShOTBench evaluation results
Browse filesAdd the LongShOTBench (NeurIPS 2026 Evaluations & Datasets Track) benchmark authors' published results for Video-R1-7B on overall, core_perception, reasoning, information and multimodal. Each value is a rubric-weighted score on a 0-100 scale; higher is better.
LongShOTBench evaluates long-form omni-modal video understanding: 3,401 open-ended single- and multi-turn samples (4,882 QA turns) over 274 real-world videos (~41 min avg) that require combining visual, speech and ambient-audio evidence. Answers are graded by an LLM judge (Qwen3-14B) against human-verified, weighted criterion-level rubrics.
Source: https://longshot.cvmbzuai.com/leaderboard
Benchmark: https://huggingface.co/datasets/MBZUAI/longshot-bench
Paper: https://arxiv.org/abs/2512.16978
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- dataset:
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id: MBZUAI/longshot-bench
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task_id: overall
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value: 26.88
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source:
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url: https://longshot.cvmbzuai.com/leaderboard
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name: LongShOTBench official results
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user: MBZUAI
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notes: 'Rubric-weighted score (0-100), LLM judge Qwen3-14B; model input: Video.'
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- dataset:
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id: MBZUAI/longshot-bench
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task_id: core_perception
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value: 22.36
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source:
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url: https://longshot.cvmbzuai.com/leaderboard
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name: LongShOTBench official results
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user: MBZUAI
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notes: 'Rubric-weighted score (0-100), LLM judge Qwen3-14B; model input: Video.'
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- dataset:
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id: MBZUAI/longshot-bench
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task_id: reasoning
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value: 28.58
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source:
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url: https://longshot.cvmbzuai.com/leaderboard
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name: LongShOTBench official results
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user: MBZUAI
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notes: 'Rubric-weighted score (0-100), LLM judge Qwen3-14B; model input: Video.'
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- dataset:
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id: MBZUAI/longshot-bench
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task_id: information
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value: 25.0
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source:
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url: https://longshot.cvmbzuai.com/leaderboard
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name: LongShOTBench official results
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user: MBZUAI
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notes: 'Rubric-weighted score (0-100), LLM judge Qwen3-14B; model input: Video.'
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- dataset:
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id: MBZUAI/longshot-bench
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task_id: multimodal
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value: 31.57
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source:
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url: https://longshot.cvmbzuai.com/leaderboard
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name: LongShOTBench official results
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user: MBZUAI
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notes: 'Rubric-weighted score (0-100), LLM judge Qwen3-14B; model input: Video.'
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