add results of Querit/Querit

[youngbeauty250]

Checklist

• My model has a model sheet, report, or similar
• My model has a reference implementation in mteb/models/model_implementations/, this can be as an API. Instruction on how to add a model can be found here
  • No, but there is an existing PR model: added Querit/Querit mteb#3996
• The results submitted are obtained using the reference implementation
• My model is available, either as a publicly accessible API or publicly on e.g., Huggingface
• I solemnly swear that for all results submitted I have not trained on the evaluation dataset including training splits. If I have, I have disclosed it clearly.

[github-actions]

Model Results Comparison

Reference models: intfloat/multilingual-e5-large, google/gemini-embedding-001
New models evaluated: Querit/Querit
Tasks: AlloprofReranking, AskUbuntuDupQuestions, MindSmallReranking, RuBQReranking, T2Reranking, VoyageMMarcoReranking, WebLINXCandidatesReranking, WikipediaRerankingMultilingual

Results for Querit/Querit

task_name	Querit/Querit	google/gemini-embedding-001	intfloat/multilingual-e5-large	Max result	Model with max result	In Training Data
AlloprofReranking	0.7756	0.8177	0.6944	0.8540	bflhc/Octen-Embedding-8B	False
AskUbuntuDupQuestions	0.6243	0.6424	0.5924	0.7528	IEITYuan/Yuan-embedding-2.0-en	False
MindSmallReranking	0.3181	0.3295	0.3024	0.3437	Kingsoft-LLM/QZhou-Embedding	False
RuBQReranking	0.703	0.7384	0.756	0.8051	ai-sage/Giga-Embeddings-instruct	False
T2Reranking	0.6805	0.6795	0.6632	0.7315	tencent/Youtu-Embedding	False
VoyageMMarcoReranking	0.6054	0.6673	0.6821	0.7351	jinaai/jina-reranker-v3	False
WebLINXCandidatesReranking	0.1193	0.1097	0.0778	0.1792	Bytedance/Seed1.6-embedding-1215	False
WikipediaRerankingMultilingual	0.8706	0.9224	0.8981	0.9308	jinaai/jina-reranker-v3	False
Average	0.5871	0.6134	0.5833	0.6665	nan	-

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