rankings/video_ranking.csv

Rank,Models,Model Size(B),Video-Overall,V-CLS,V-QA,V-RET,V-MRET,K700,UCF101,HMDB51,SmthSmthV2,Breakfast,Video-MME,MVBench,NExTQA,EgoSchema,ActivityNetQA,MSR-VTT,MSVD,DiDeMo,VATEX,YouCook2,QVHighlight,Charades-STA,MomentSeeker
1,"<a href=""https://interestfm-tte.github.io/"">IFM-TTE-7B</a>",8.29,59.19,60.53,67.92,51.73,54.86,57.4,79.6,65.4,62.6,37.64,59.67,62.85,73.76,65.8,77.5,52.7,73.13,49.7,51.45,31.65,64.64,50.34,49.61
2,"<a href=""https://github.com/360CVGroup/RzenEmbed"">RzenEmbed-v2-7B</a>",8.29,55.73,58.82,63.5,50.97,45.54,57.1,75.7,63.4,66.5,31.41,51.48,60.3,75.91,51.2,78.6,50.6,72.09,57.27,47.57,27.34,64.27,24.62,47.72
3,"<a href=""https://seed1-6-embedding.github.io"">seed-1.6-embedding</a>",unknown,55.34,54.99,60.85,51.33,53.45,48.0,74.2,63.9,61.6,27.25,53.96,53.27,66.2,52.2,78.6,55.3,71.34,56.67,48.77,24.57,71.75,29.3,59.3
4,"<a href=""https://huggingface.co/OpenSearch-AI/Ops-MM-embedding-v1-7B"">Ops-MM-embedding-v1-7B</a>",8.29,53.76,59.68,62.22,45.72,43.21,59.0,78.8,59.3,64.6,36.72,50.89,56.97,67.06,59.6,76.6,49.4,67.16,46.12,43.95,21.96,58.17,24.9,46.56
5,RzenEmbed-v1-7B,8.29,48.87,52.76,56.18,41.89,41.82,55.4,73.1,56.7,56.9,21.71,48.67,48.58,66.77,42.8,74.1,45.1,64.93,41.24,38.57,19.6,60.2,22.15,43.11
6,"<a href=""https://huggingface.co/OpenSearch-AI/Ops-MM-embedding-v1-2B"">Ops-MM-embedding-v1-2B</a>",2.21,47.56,53.61,55.65,41.75,33.68,52.0,71.4,55.5,58.9,30.25,44.63,50.75,57.26,53.8,71.8,46.0,66.12,39.84,40.24,16.55,39.52,19.53,42.0
7,"<a href=""https://huggingface.co/zhibinlan/UME-R1-7B"">UME-R1-7B</a>",8.29,47.5,48.6,60.7,38.16,39.26,42.8,70.0,58.3,50.4,21.48,47.26,58.2,69.62,52.4,76.0,38.9,60.75,40.04,32.65,18.46,54.85,21.87,41.06
8,RzenEmbed-v1-2B,2.21,42.62,45.56,47.54,38.32,36.69,46.4,69.9,48.9,49.9,12.7,39.78,41.58,49.53,35.6,71.2,43.0,58.36,39.54,33.79,16.89,51.52,18.16,40.39
9,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-7B</a>",8.03,42.4,35.81,58.66,34.44,39.53,40.1,39.6,46.9,35.8,16.63,46.0,48.9,62.42,60.0,76.0,36.5,56.42,37.85,31.96,9.47,58.45,18.71,41.44
10,"<a href=""https://huggingface.co/zhibinlan/UME-R1-2B"">UME-R1-2B</a>",2.21,42.23,44.32,50.95,32.93,39.7,35.8,67.2,54.4,44.1,20.09,41.67,49.88,59.98,45.4,57.8,34.3,55.37,32.37,29.88,12.71,57.53,20.36,41.22
11,"<a href=""https://github.com/GaryGuTC/UniME-v2"">UniME-V2-LLaVA-OneVision-7B</a>",8.03,39.01,37.16,50.59,28.93,39.59,38.0,61.8,42.8,25.2,18.01,35.78,42.2,58.76,51.6,64.6,27.6,57.46,31.47,22.51,5.6,56.79,29.99,32.0
12,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct"">gme-Qwen2-VL-7B-Instruct</a>",8.29,38.43,37.44,50.35,28.37,36.96,39.7,54.7,47.9,30.6,14.32,39.19,46.62,53.55,46.8,65.6,31.8,49.7,26.39,24.88,9.09,59.46,14.03,37.39
13,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-0.5B</a>",0.894,35.87,33.9,41.72,29.69,39.69,33.6,47.2,40.5,25.8,22.4,36.11,39.35,38.36,26.2,68.6,33.0,51.19,30.48,25.48,8.3,56.14,23.11,39.83
14,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret"">LamRA-Ret</a>",8.29,34.95,39.27,42.6,24.26,32.84,42.3,60.4,40.5,36.3,16.86,34.07,37.2,43.72,44.8,53.2,22.1,46.12,24.8,19.14,9.15,53.83,10.87,33.83
15,"<a href=""https://huggingface.co/VLM2Vec/VLM2Vec-V2.0"">VLM2Vec-V2.0-Qwen2VL-2B</a>",2.21,34.58,39.3,34.32,28.77,36.82,38.0,60.0,40.9,42.8,14.78,30.7,33.7,20.92,34.0,52.3,28.3,48.06,30.38,26.46,10.63,49.4,20.22,40.83
16,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec-V1-Qwen2VL-7B</a>",8.29,33.72,39.08,29.96,29.0,38.93,35.5,61.8,42.2,32.1,23.79,27.81,28.48,20.29,21.8,51.4,34.5,46.72,29.28,25.52,9.0,57.71,19.81,39.28
17,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,33.64,34.91,42.0,25.56,31.07,35.2,52.4,43.4,29.9,13.63,34.26,37.45,39.49,40.8,58.0,27.3,47.61,22.01,22.96,7.9,43.58,14.86,34.78
18,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret-Qwen2.5VL-7b"">LamRA-Ret-Qwen2.5VL-7b</a>",8.29,33.6,32.86,42.63,23.18,37.16,32.1,53.0,33.8,25.3,20.09,35.11,37.62,44.93,47.0,48.5,25.0,41.94,22.81,18.65,7.52,60.85,18.84,31.78
19,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec-V1-Qwen2VL-2B</a>",2.21,28.61,33.4,30.53,20.61,30.75,31.4,57.5,33.8,30.9,13.39,26.89,30.45,20.29,25.4,49.6,25.2,38.21,19.42,16.15,4.09,44.23,13.62,34.39
20,"<a href=""https://huggingface.co/vidore/colpali-v1.3"">colpali-v1.3</a>",2.92,28.17,26.71,37.84,21.56,25.52,23.4,49.4,24.8,25.1,10.85,30.59,33.7,35.21,38.4,51.3,17.6,45.37,22.81,16.68,5.32,19.94,29.02,27.61
21,"<a href=""https://github.com/QQ-MM/QQMM-embed"">QQMM-embed-v2</a>",8.29,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
22,OEmbedding-v1-7B,8.29,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
23,ReCo-7B,8.29,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
24,TCE-v1,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0