Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
Eval Results
text-generation-inference
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
#3
by jazeelmohd - opened
.eval_results/longshotbench.yaml
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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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| 45 |
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notes: 'Rubric-weighted score (0-100), LLM judge Qwen3-14B; model input: Video.'
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