Dataset · Hugging Face

codefuse-ai/F2LLM-v2

Name: F2LLM-v2
Creator: codefuse-ai
Keywords: task_categories:text-retrieval, task_categories:text-classification, task_categories:sentence-similarity, task_categories:feature-extraction, language:en, language:zh, language:ru, language:es, language:fr, language:de, language:ar, language:nl, language:vi, language:hi, language:ko

Note on Contamination As of June 2026, MTEB uses the training split of MKQA and SIB200 for evaluation. We recommend removing these two datasets from the training data. Citation @misc{f2llm-v2, title={F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World}, author={Ziyin Zhang and Zihan Liao and Hang Yu and Peng Di and Rui Wang}, year={2026}, eprint={2603.19223}, archivePrefix={arXiv}… See the full description on the dataset page: https://huggingface.co/datasets/codefuse-ai/F2LLM-v2.

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Author / organization	codefuse-ai
Downloads	2.6K (as reported by Hugging Face)
Likes	10
Created	2 March 2026
Last updated at source	9 June 2026

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codefuse-ai/F2LLM-v2-4B-PreviewModel · used to train
codefuse-ai/F2LLM-v2-0.6B-PreviewModel · used to train
codefuse-ai/F2LLM-v2-14B-PreviewModel · used to train
dmis-lab/UltraBERT-Embed-150MModel · used to train

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