Text Model¶

Number of models: 204

Instruction Model¶

`Alibaba-NLP/gte-Qwen1.5-7B-instruct`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.7B	28.8 GB	2024-04-20	eng-Latn

`Alibaba-NLP/gte-Qwen2-1.5B-instruct`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	9.0K	1.8B	6.6 GB	2024-07-29	eng-Latn

`Alibaba-NLP/gte-Qwen2-7B-instruct`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	3.6K	7.6B	28.4 GB	2024-06-15	not specified

Citation

@article{li2023towards,
  title={Towards general text embeddings with multi-stage contrastive learning},
  author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},
  journal={arXiv preprint arXiv:2308.03281},
  year={2023}
}

`BAAI/bge-base-en`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.0M	390.0 MB	2023-08-05	eng-Latn

`BAAI/bge-base-en-v1.5`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.0M	390.0 MB	2023-09-11	eng-Latn

Citation

@misc{bge_embedding,
      title={C-Pack: Packaged Resources To Advance General Chinese Embedding},
      author={Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff},
      year={2023},
      eprint={2309.07597},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

`BAAI/bge-base-zh`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.0M	390.0 MB	2023-08-05	zho-Hans

`BAAI/bge-base-zh-v1.5`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.0M	416.0 MB	2023-09-11	zho-Hans

`BAAI/bge-large-en`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.0M	1.2 GB	2023-08-05	eng-Latn

`BAAI/bge-large-en-v1.5`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.0M	1.2 GB	2023-09-12	eng-Latn

Citation

@misc{bge_embedding,
      title={C-Pack: Packaged Resources To Advance General Chinese Embedding},
      author={Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff},
      year={2023},
      eprint={2309.07597},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

`BAAI/bge-large-zh`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.0M	1.2 GB	2023-08-02	zho-Hans

`BAAI/bge-large-zh-v1.5`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.0M	1.2 GB	2023-09-12	zho-Hans

`BAAI/bge-small-en`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	512	33.4M	127.0 MB	2023-08-05	eng-Latn

`BAAI/bge-small-en-v1.5`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	512	33.4M	127.0 MB	2023-09-12	eng-Latn

Citation

@misc{bge_embedding,
      title={C-Pack: Packaged Resources To Advance General Chinese Embedding},
      author={Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff},
      year={2023},
      eprint={2309.07597},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

`BAAI/bge-small-zh`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	512	33.4M	127.0 MB	2023-08-05	zho-Hans

`BAAI/bge-small-zh-v1.5`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	512	33.4M	91.0 MB	2023-09-12	zho-Hans

`BeastyZ/e5-R-mistral-7b`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.2B	27.0 GB	2024-06-28	eng-Latn

`ByteDance-Seed/Seed1.5-Embedding`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	2.0K	not specified	not specified	2025-04-25	eng-Latn, zho-Hans

`Bytedance/Seed1.6-embedding`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	2.0K	not specified	not specified	2025-06-18	eng-Latn, zho-Hans

`Cohere/Cohere-embed-english-light-v3.0`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	not specified	not specified	2023-11-02	eng-Latn

`Cohere/Cohere-embed-english-v3.0`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	not specified	not specified	2023-11-02	eng-Latn

`Cohere/Cohere-embed-multilingual-light-v3.0`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	not specified	not specified	2023-11-02	afr-Latn, amh-Ethi, ara-Arab, asm-Beng, aze-Latn, ... (109)

`Cohere/Cohere-embed-multilingual-v3.0`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	512	not specified	not specified	2023-11-02	afr-Latn, amh-Ethi, ara-Arab, asm-Beng, aze-Latn, ... (109)

`GeoGPT-Research-Project/GeoEmbedding`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.2B	27.0 GB	2025-04-22	eng-Latn

`GritLM/GritLM-7B`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.1K	4.1K	7.2B	13.5 GB	2024-02-15	deu-Latn, eng-Latn, fra-Latn, ita-Latn, spa-Latn

Citation

@misc{muennighoff2024generative,
      title={Generative Representational Instruction Tuning},
      author={Niklas Muennighoff and Hongjin Su and Liang Wang and Nan Yang and Furu Wei and Tao Yu and Amanpreet Singh and Douwe Kiela},
      year={2024},
      eprint={2402.09906},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

`GritLM/GritLM-8x7B`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.1K	4.1K	57.9B	87.0 GB	2024-02-15	deu-Latn, eng-Latn, fra-Latn, ita-Latn, spa-Latn

Citation

@misc{muennighoff2024generative,
      title={Generative Representational Instruction Tuning},
      author={Niklas Muennighoff and Hongjin Su and Liang Wang and Nan Yang and Furu Wei and Tao Yu and Amanpreet Singh and Douwe Kiela},
      year={2024},
      eprint={2402.09906},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

`HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	896	494.0M	1.8 GB	2024-10-23	eng-Latn, zho-Hans

`HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	896	494.0M	1.8 GB	2024-12-26	eng-Latn, zho-Hans

`HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v2`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	896	494.0M	942.0 MB	2025-06-25	eng-Latn, zho-Hans

`Kingsoft-LLM/QZhou-Embedding`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	3.6K	7.1B	28.4 GB	2025-08-24	eng-Latn, zho-Hans

`Linq-AI-Research/Linq-Embed-Mistral`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	13.2 GB	2024-05-29	eng-Latn

`McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	26.5 GB	2024-04-09	eng-Latn

Citation

@misc{behnamghader2024llm2veclargelanguagemodels,
      title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},
      author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
      year={2024},
      eprint={2404.05961},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2404.05961},
}

`McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	26.5 GB	2024-04-09	eng-Latn

Citation

@misc{behnamghader2024llm2veclargelanguagemodels,
      title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},
      author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
      year={2024},
      eprint={2404.05961},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2404.05961},
}

`McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	4.1K	7.5B	28.0 GB	2024-04-09	eng-Latn

Citation

@misc{behnamghader2024llm2veclargelanguagemodels,
      title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},
      author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
      year={2024},
      eprint={2404.05961},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2404.05961},
}

`McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	4.1K	7.5B	28.0 GB	2024-04-09	eng-Latn

Citation

@misc{behnamghader2024llm2veclargelanguagemodels,
      title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},
      author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
      year={2024},
      eprint={2404.05961},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2404.05961},
}

`McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	26.5 GB	2024-04-09	eng-Latn

Citation

@misc{behnamghader2024llm2veclargelanguagemodels,
      title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},
      author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
      year={2024},
      eprint={2404.05961},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2404.05961},
}

`McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	26.5 GB	2024-04-09	eng-Latn

Citation

@misc{behnamghader2024llm2veclargelanguagemodels,
      title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},
      author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
      year={2024},
      eprint={2404.05961},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2404.05961},
}

`McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	26.5 GB	2024-04-09	eng-Latn

Citation

@misc{behnamghader2024llm2veclargelanguagemodels,
      title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},
      author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
      year={2024},
      eprint={2404.05961},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2404.05961},
}

`McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	26.5 GB	2024-04-09	eng-Latn

Citation

@misc{behnamghader2024llm2veclargelanguagemodels,
      title={LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders},
      author={Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
      year={2024},
      eprint={2404.05961},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2404.05961},
}

`MongoDB/mdbr-leaf-ir`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	22.9M	86.0 MB	2025-08-27	eng-Latn

`MongoDB/mdbr-leaf-mt`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	23.0M	86.0 MB	2025-08-27	eng-Latn

`NovaSearch/jasper_en_vision_language_v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
131.1K	9.0K	2.0B	3.7 GB	2024-12-11	eng-Latn

`NovaSearch/stella_en_1.5B_v5`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
131.1K	9.0K	1.5B	5.7 GB	2024-07-12	eng-Latn

`NovaSearch/stella_en_400M_v5`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	4.1K	435.0M	1.6 GB	2024-07-12	eng-Latn

`Qwen/Qwen3-Embedding-0.6B`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	1.0K	595.8M	2.2 GB	2025-06-05	afr-Latn, ara-Arab, aze-Latn, bel-Cyrl, ben-Beng, ... (71)

`Qwen/Qwen3-Embedding-4B`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	2.6K	4.0B	15.0 GB	2025-06-05	afr-Latn, ara-Arab, aze-Latn, bel-Cyrl, ben-Beng, ... (71)

`Qwen/Qwen3-Embedding-8B`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.6B	28.2 GB	2025-06-05	afr-Latn, ara-Arab, aze-Latn, bel-Cyrl, ben-Beng, ... (71)

`Sailesh97/Hinvec`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	2.0K	939.6M	3.6 GB	2025-06-19	eng-Latn, hin-Deva

`Salesforce/SFR-Embedding-2_R`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	13.2 GB	2024-06-14	eng-Latn

Citation

@misc{SFR-embedding-2,
      title={SFR-Embedding-2: Advanced Text Embedding with Multi-stage Training},
      author={Rui Meng*, Ye Liu*, Shafiq Rayhan Joty, Caiming Xiong, Yingbo Zhou, Semih Yavuz},
      year={2024},
      url={https://huggingface.co/Salesforce/SFR-Embedding-2_R}
    }

`Salesforce/SFR-Embedding-Code-2B_R`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	2.3K	2.6B	4.9 GB	2025-01-17	eng-Latn

`Salesforce/SFR-Embedding-Mistral`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	13.2 GB	2024-01-24	eng-Latn

`SamilPwC-AXNode-GenAI/PwC-Embedding_expr`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	1.0K	560.0M	2.1 GB	2025-08-12	kor-Hang

`Snowflake/snowflake-arctic-embed-l`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.0M	1.2 GB	2024-04-12	eng-Latn

`Snowflake/snowflake-arctic-embed-l-v2.0`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	568.0M	2.1 GB	2024-12-04	afr-Latn, ara-Arab, aze-Latn, bel-Cyrl, ben-Beng, ... (74)

`Snowflake/snowflake-arctic-embed-m`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.0M	415.0 MB	2024-04-12	eng-Latn

`Snowflake/snowflake-arctic-embed-m-long`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	768	137.0M	522.0 MB	2024-04-12	eng-Latn

`Snowflake/snowflake-arctic-embed-m-v1.5`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.0M	415.0 MB	2024-07-08	eng-Latn

`Snowflake/snowflake-arctic-embed-m-v2.0`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	305.0M	1.1 GB	2024-12-04	afr-Latn, ara-Arab, aze-Latn, bel-Cyrl, ben-Beng, ... (74)

`Snowflake/snowflake-arctic-embed-s`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	32.2M	127.0 MB	2024-04-12	eng-Latn

`Snowflake/snowflake-arctic-embed-xs`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	22.6M	86.0 MB	2024-07-08	eng-Latn

`TencentBAC/Conan-embedding-v2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	3.6K	not specified	not specified	2025-04-10	eng-Latn, zho-Hans

`VPLabs/SearchMap_Preview`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	4.1K	435.0M	1.6 GB	2025-03-05	eng-Latn

`WhereIsAI/UAE-Large-V1`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.0M	1.2 GB	2023-12-04	eng-Latn

Citation

    @article{li2023angle,
      title={AnglE-optimized Text Embeddings},
      author={Li, Xianming and Li, Jing},
      journal={arXiv preprint arXiv:2309.12871},
      year={2023}
    }

`Youtu-RAG/CoDi-Embedding-V1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.1K	2.3K	2.7B	not specified	2025-08-20	zho-Hans

`ai-forever/FRIDA`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.5K	823.0M	3.1 GB	2024-12-29	rus-Cyrl

`ai-forever/ru-en-RoSBERTa`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	404.0M	1.5 GB	2024-07-29	rus-Cyrl

Citation

@misc{snegirev2024russianfocusedembeddersexplorationrumteb,
      title={The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design},
      author={Artem Snegirev and Maria Tikhonova and Anna Maksimova and Alena Fenogenova and Alexander Abramov},
      year={2024},
      eprint={2408.12503},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2408.12503},
    }

`ai-sage/Giga-Embeddings-instruct`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	2.0K	2.5B	9.4 GB	2024-12-13	eng-Latn, rus-Cyrl

`annamodels/LGAI-Embedding-Preview`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	26.5 GB	2025-06-11	eng-Latn

`bchoiced/CHAIN19`¶

License: cc-by-sa-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	26.5 GB	2025-05-07	eng-Latn

`bedrock/cohere-embed-english-v3`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	not specified	not specified	2023-11-02	eng-Latn

`bedrock/cohere-embed-multilingual-v3`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	not specified	not specified	2023-11-02	afr-Latn, amh-Ethi, ara-Arab, asm-Beng, aze-Latn, ... (109)

`castorini/repllama-v1-7b-lora-passage`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.1K	4.1K	7.0M	27.0 MB	2023-10-11	eng-Latn

Citation

@article{rankllama,
      title={Fine-Tuning LLaMA for Multi-Stage Text Retrieval},
      author={Xueguang Ma and Liang Wang and Nan Yang and Furu Wei and Jimmy Lin},
      year={2023},
      journal={arXiv:2310.08319},
}

`deepvk/USER-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	427.0M	473.0 MB	2024-06-10	rus-Cyrl

Citation

@misc{deepvk2024user,
        title={USER: Universal Sentence Encoder for Russian},
        author={Malashenko, Boris and  Zemerov, Anton and Spirin, Egor},
        url={https://huggingface.co/datasets/deepvk/USER-base},
        publisher={Hugging Face}
        year={2024},
    }

`deepvk/USER2-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	149.0M	568.0 MB	2025-04-19	rus-Cyrl

`deepvk/USER2-small`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	384	34.4M	131.0 MB	2025-04-19	rus-Cyrl

`google/gemini-embedding-001`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	3.1K	not specified	not specified	2025-03-07	arb-Arab, ben-Beng, deu-Latn, eng-Latn, fin-Latn, ... (19)

`google/text-embedding-004`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	768	not specified	not specified	2024-05-14	eng-Latn

`google/text-embedding-005`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	768	not specified	not specified	2024-11-18	eng-Latn

`google/text-multilingual-embedding-002`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	768	not specified	not specified	2024-05-14	arb-Arab, ben-Beng, deu-Latn, eng-Latn, fin-Latn, ... (19)

`infly/inf-retriever-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	3.6K	7.1B	13.2 GB	2024-12-24	eng-Latn, zho-Hans

`infly/inf-retriever-v1-1.5b`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	1.5K	1.5B	2.9 GB	2025-02-08	eng-Latn, zho-Hans

`intfloat/e5-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.0M	418.0 MB	2022-12-26	eng-Latn

Citation

@article{wang2022text,
  title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},
  author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},
  journal={arXiv preprint arXiv:2212.03533},
  year={2022}
}

`intfloat/e5-base-v2`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.0M	418.0 MB	2024-02-08	eng-Latn

Citation

@article{wang2022text,
  title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},
  author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},
  journal={arXiv preprint arXiv:2212.03533},
  year={2022}
}

`intfloat/e5-large`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.0M	1.2 GB	2022-12-26	eng-Latn

Citation

@article{wang2022text,
  title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},
  author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},
  journal={arXiv preprint arXiv:2212.03533},
  year={2022}
}

`intfloat/e5-large-v2`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	1.0K	335.0M	1.2 GB	2024-02-08	eng-Latn

Citation

@article{wang2022text,
  title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},
  author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},
  journal={arXiv preprint arXiv:2212.03533},
  year={2022}
}

`intfloat/e5-mistral-7b-instruct`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	13.2 GB	2024-02-08	deu-Latn, eng-Latn, fra-Latn, ita-Latn, spa-Latn

Citation

    @article{wang2023improving,
      title={Improving Text Embeddings with Large Language Models},
      author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},
      journal={arXiv preprint arXiv:2401.00368},
      year={2023}
    }

    @article{wang2022text,
      title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},
      author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},
      journal={arXiv preprint arXiv:2212.03533},
      year={2022}
    }

`intfloat/e5-small`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	33.0M	127.0 MB	2024-02-08	eng-Latn

Citation

@article{wang2022text,
  title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},
  author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},
  journal={arXiv preprint arXiv:2212.03533},
  year={2022}
}

`intfloat/e5-small-v2`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	33.0M	127.0 MB	2024-02-08	eng-Latn

Citation

@article{wang2022text,
  title={Text Embeddings by Weakly-Supervised Contrastive Pre-training},
  author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Jiao, Binxing and Yang, Linjun and Jiang, Daxin and Majumder, Rangan and Wei, Furu},
  journal={arXiv preprint arXiv:2212.03533},
  year={2022}
}

`intfloat/multilingual-e5-base`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	278.0M	1.0 GB	2024-02-08	afr-Latn, amh-Latn, ara-Latn, asm-Latn, aze-Latn, ... (99)

Citation

@article{wang2024multilingual,
  title={Multilingual E5 Text Embeddings: A Technical Report},
  author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},
  journal={arXiv preprint arXiv:2402.05672},
  year={2024}
}

`intfloat/multilingual-e5-large`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	1.0K	560.0M	2.1 GB	2024-02-08	afr-Latn, amh-Latn, ara-Latn, asm-Latn, aze-Latn, ... (99)

Citation

@article{wang2024multilingual,
  title={Multilingual E5 Text Embeddings: A Technical Report},
  author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},
  journal={arXiv preprint arXiv:2402.05672},
  year={2024}
}

`intfloat/multilingual-e5-large-instruct`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	1.0K	560.0M	1.0 GB	2024-02-08	afr-Latn, amh-Latn, ara-Latn, asm-Latn, aze-Latn, ... (99)

Citation

@article{wang2024multilingual,
      title={Multilingual E5 Text Embeddings: A Technical Report},
      author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},
      journal={arXiv preprint arXiv:2402.05672},
      year={2024}
    }

`intfloat/multilingual-e5-small`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	118.0M	449.0 MB	2024-02-08	afr-Latn, amh-Latn, ara-Latn, asm-Latn, aze-Latn, ... (99)

Citation

@article{wang2024multilingual,
  title={Multilingual E5 Text Embeddings: A Technical Report},
  author={Wang, Liang and Yang, Nan and Huang, Xiaolong and Yang, Linjun and Majumder, Rangan and Wei, Furu},
  journal={arXiv preprint arXiv:2402.05672},
  year={2024}
}

`jinaai/jina-embeddings-v3`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	572.0M	1.1 GB	2024-09-18	afr-Latn, amh-Latn, ara-Latn, asm-Latn, aze-Latn, ... (99)

Citation

    @misc{sturua2024jinaembeddingsv3multilingualembeddingstask,
      title={jina-embeddings-v3: Multilingual Embeddings With Task LoRA},
      author={Saba Sturua and Isabelle Mohr and Mohammad Kalim Akram and Michael Günther and Bo Wang and Markus Krimmel and Feng Wang and Georgios Mastrapas and Andreas Koukounas and Andreas Koukounas and Nan Wang and Han Xiao},
      year={2024},
      eprint={2409.10173},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2409.10173},
    }

`jxm/cde-small-v1`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	281.0M	1.0 GB	2024-09-24	eng-Latn

`jxm/cde-small-v2`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	306.0M	1.1 GB	2025-01-13	eng-Latn

`llamaindex/vdr-2b-multi-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	1.5K	2.0B	4.1 GB	2024-01-08	deu-Latn, eng-Latn, fra-Latn, ita-Latn, spa-Latn

`manveertamber/cadet-embed-base-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.0M	418.0 MB	2025-05-11	eng-Latn

`mixedbread-ai/mxbai-embed-2d-large-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	335.0M	not specified	2024-03-04	eng-Latn

`mixedbread-ai/mxbai-embed-large-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.0M	639.0 MB	2024-03-07	eng-Latn

Citation

    @online{emb2024mxbai,
      title={Open Source Strikes Bread - New Fluffy Embeddings Model},
      author={Sean Lee and Aamir Shakir and Darius Koenig and Julius Lipp},
      year={2024},
      url={https://www.mixedbread.ai/blog/mxbai-embed-large-v1},
    }

    @article{li2023angle,
      title={AnglE-optimized Text Embeddings},
      author={Li, Xianming and Li, Jing},
      journal={arXiv preprint arXiv:2309.12871},
      year={2023}
    }

`mixedbread-ai/mxbai-embed-xsmall-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	24.1M	not specified	2024-08-13	eng-Latn

`nomic-ai/modernbert-embed-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	149.0M	568.0 MB	2024-12-29	eng-Latn

`nomic-ai/nomic-embed-text-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	not specified	522.0 MB	2024-01-31	eng-Latn

Citation

@misc{nussbaum2024nomic,
      title={Nomic Embed: Training a Reproducible Long Context Text Embedder},
      author={Zach Nussbaum and John X. Morris and Brandon Duderstadt and Andriy Mulyar},
      year={2024},
      eprint={2402.01613},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

`nomic-ai/nomic-embed-text-v1-ablated`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	not specified	not specified	2024-01-15	eng-Latn

`nomic-ai/nomic-embed-text-v1-unsupervised`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	not specified	not specified	2024-01-15	eng-Latn

`nomic-ai/nomic-embed-text-v1.5`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	137.0M	522.0 MB	2024-02-10	eng-Latn

Citation

@misc{nussbaum2024nomic,
      title={Nomic Embed: Training a Reproducible Long Context Text Embedder},
      author={Zach Nussbaum and John X. Morris and Brandon Duderstadt and Andriy Mulyar},
      year={2024},
      eprint={2402.01613},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

`nvidia/NV-Embed-v1`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.8B	29.2 GB	2024-09-13	eng-Latn

`nvidia/NV-Embed-v2`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.8B	14.6 GB	2024-09-09	eng-Latn

`opensearch-project/opensearch-neural-sparse-encoding-doc-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	30.5K	133.0M	507.0 MB	2024-03-07	eng-Latn

`opensearch-project/opensearch-neural-sparse-encoding-doc-v2-distill`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	30.5K	67.0M	267.0 MB	2024-07-17	eng-Latn

`opensearch-project/opensearch-neural-sparse-encoding-doc-v2-mini`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	30.5K	22.7M	86.0 MB	2024-07-18	eng-Latn

`opensearch-project/opensearch-neural-sparse-encoding-doc-v3-distill`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	30.5K	67.0M	267.0 MB	2025-03-28	eng-Latn

`opensearch-project/opensearch-neural-sparse-encoding-doc-v3-gte`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	30.5K	137.4M	549.0 MB	2025-06-18	eng-Latn

`samaya-ai/RepLLaMA-reproduced`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.1K	4.1K	7.0M	27.0 MB	2024-09-15	eng-Latn

Citation

@article{rankllama,
      title={Fine-Tuning LLaMA for Multi-Stage Text Retrieval},
      author={Xueguang Ma and Liang Wang and Nan Yang and Furu Wei and Jimmy Lin},
      year={2023},
      journal={arXiv:2310.08319},
}

`samaya-ai/promptriever-llama2-7b-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.1K	4.1K	7.0B	27.0 MB	2024-09-15	eng-Latn

Citation

@article{weller2024promptriever,
      title={Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models},
      author={Orion Weller and Benjamin Van Durme and Dawn Lawrie and Ashwin Paranjape and Yuhao Zhang and Jack Hessel},
      year={2024},
      eprint={2409.11136},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2409.11136},
}

`samaya-ai/promptriever-llama3.1-8b-instruct-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	4.1K	8.0B	31.0 MB	2024-09-15	eng-Latn

Citation

@article{weller2024promptriever,
      title={Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models},
      author={Orion Weller and Benjamin Van Durme and Dawn Lawrie and Ashwin Paranjape and Yuhao Zhang and Jack Hessel},
      year={2024},
      eprint={2409.11136},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2409.11136},
}

`samaya-ai/promptriever-llama3.1-8b-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	4.1K	8.0B	31.0 MB	2024-09-15	eng-Latn

Citation

@article{weller2024promptriever,
      title={Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models},
      author={Orion Weller and Benjamin Van Durme and Dawn Lawrie and Ashwin Paranjape and Yuhao Zhang and Jack Hessel},
      year={2024},
      eprint={2409.11136},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2409.11136},
}

`samaya-ai/promptriever-mistral-v0.1-7b-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.1K	4.1K	7.0B	27.0 MB	2024-09-15	eng-Latn

Citation

@article{weller2024promptriever,
      title={Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models},
      author={Orion Weller and Benjamin Van Durme and Dawn Lawrie and Ashwin Paranjape and Yuhao Zhang and Jack Hessel},
      year={2024},
      eprint={2409.11136},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2409.11136},
}

`sergeyzh/BERTA`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	128.0M	489.0 MB	2025-03-10	rus-Cyrl

`sergeyzh/rubert-mini-frida`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	312	32.3M	123.0 MB	2025-03-02	rus-Cyrl

`voyageai/voyage-2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.0K	1.0K	not specified	not specified	2023-10-29	not specified

`voyageai/voyage-3`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.0K	1.0K	not specified	not specified	2024-09-18	not specified

`voyageai/voyage-3-lite`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.0K	512	not specified	not specified	2024-09-18	not specified

`voyageai/voyage-3-m-exp`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.0K	2.0K	6.9B	not specified	2025-01-08	eng-Latn

`voyageai/voyage-3.5`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.0K	1.0K	not specified	not specified	2025-01-21	not specified

`voyageai/voyage-code-2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
16.0K	1.5K	not specified	not specified	2024-01-23	not specified

`voyageai/voyage-code-3`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.0K	1.0K	not specified	not specified	2024-12-04	not specified

`voyageai/voyage-finance-2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.0K	1.0K	not specified	not specified	2024-05-30	not specified

`voyageai/voyage-large-2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
16.0K	1.5K	not specified	not specified	2023-10-29	not specified

`voyageai/voyage-large-2-instruct`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
16.0K	1.0K	not specified	not specified	2024-05-05	not specified

`voyageai/voyage-law-2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
16.0K	1.0K	not specified	not specified	2024-04-15	not specified

`voyageai/voyage-multilingual-2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.0K	1.0K	not specified	not specified	2024-06-10	not specified

`yibinlei/LENS-d4000`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.0K	7.1B	26.5 GB	2025-01-17	not specified

`yibinlei/LENS-d8000`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	8.0K	7.1B	26.5 GB	2025-01-17	not specified

`zeta-alpha-ai/Zeta-Alpha-E5-Mistral`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	13.2 GB	2024-08-30	eng-Latn

Non-instruction Model¶

`AITeamVN/Vietnamese_Embedding`¶

License: cc-by-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	568.0M	2.1 GB	2024-03-17	vie-Latn

`Alibaba-NLP/gte-base-en-v1.5`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	137.0M	not specified	2024-06-20	eng-Latn

`Alibaba-NLP/gte-modernbert-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	149.0M	284.0 MB	2025-01-21	eng-Latn

`Alibaba-NLP/gte-multilingual-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	305.0M	582.0 MB	2024-07-20	afr-Latn, ara-Arab, aze-Latn, bel-Cyrl, ben-Beng, ... (71)

`BAAI/bge-en-icl`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	4.1K	7.1B	26.5 GB	2024-07-25	eng-Latn

`BAAI/bge-m3`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	568.0M	2.1 GB	2024-06-28	afr-Latn, amh-Ethi, ast-Latn, azj-Latn, azj-Latn, ... (29)

`BAAI/bge-m3-unsupervised`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	568.0M	2.1 GB	2024-01-30	afr-Latn, amh-Ethi, ast-Latn, azj-Latn, azj-Latn, ... (29)

`BAAI/bge-multilingual-gemma2`¶

License: https://ai.google.dev/gemma/terms

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	3.6K	9.2B	34.4 GB	2024-07-25	eng-Latn, fra-Latn, jpn-Jpan, jpn-Latn, kor-Hang, ... (7)

`BAAI/bge-reranker-v2-m3`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	2.1 GB	2024-06-24	ara-Arab, ben-Beng, dan-Latn, deu-Latn, eng-Latn, ... (32)

Citation

    @misc{li2023making,
      title={Making Large Language Models A Better Foundation For Dense Retrieval},
      author={Chaofan Li and Zheng Liu and Shitao Xiao and Yingxia Shao},
      year={2023},
      eprint={2312.15503},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
    }
    @misc{chen2024bge,
          title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation},
          author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},
          year={2024},
          eprint={2402.03216},
          archivePrefix={arXiv},
          primaryClass={cs.CL}
    }

`ByteDance/ListConRanker`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	401.0M	1.2 GB	2024-12-11	zho-Hans

`Classical/Yinka`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	326.0M	1.2 GB	2024-01-09	zho-Hans

`DMetaSoul/Dmeta-embedding-zh-small`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
1.0K	768	74.2M	283.0 MB	2024-03-25	zho-Hans

`DMetaSoul/sbert-chinese-general-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	128	not specified	not specified	2022-03-25	zho-Hans

`DeepPavlov/distilrubert-small-cased-conversational`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	107.0M	408.0 MB	2022-06-28	rus-Cyrl

Citation

@misc{https://doi.org/10.48550/arxiv.2205.02340,
      doi = {10.48550/ARXIV.2205.02340},
      url = {https://arxiv.org/abs/2205.02340},
      author = {Kolesnikova, Alina and Kuratov, Yuri and Konovalov, Vasily and Burtsev, Mikhail},
      keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
      title = {Knowledge Distillation of Russian Language Models with Reduction of Vocabulary},
      publisher = {arXiv},
      year = {2022},
      copyright = {arXiv.org perpetual, non-exclusive license}
    }

`DeepPavlov/rubert-base-cased`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	1.3B	4.8 GB	2020-03-04	rus-Cyrl

Citation

@misc{kuratov2019adaptationdeepbidirectionalmultilingual,
      title={Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language},
      author={Yuri Kuratov and Mikhail Arkhipov},
      year={2019},
      eprint={1905.07213},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/1905.07213},
    }

`DeepPavlov/rubert-base-cased-sentence`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	107.0M	408.0 MB	2020-03-04	rus-Cyrl

`Gameselo/STS-multilingual-mpnet-base-v2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	278.0M	1.0 GB	2024-06-07	not specified

`GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1`¶

License: cc-by-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	568.0M	2.1 GB	2024-04-11	vie-Latn

`GreenNode/GreenNode-Embedding-Large-VN-V1`¶

License: cc-by-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	568.0M	2.1 GB	2024-04-11	vie-Latn

`HIT-TMG/KaLM-embedding-multilingual-mini-v1`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	896	494.0M	1.8 GB	2024-08-27	eng-Latn, zho-Hans

`Haon-Chen/speed-embedding-7b-instruct`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	not specified	7.1B	13.2 GB	2024-10-31	eng-Latn

`HooshvareLab/bert-base-parsbert-uncased`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	162.8M	621.0 MB	2021-05-19	fas-Arab

`Hum-Works/lodestone-base-4096-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	768	not specified	not specified	2023-08-25	eng-Latn

`Jaume/gemma-2b-embeddings`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	2.0K	2.5B	9.3 GB	2024-06-29	not specified

`Lajavaness/bilingual-embedding-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	278.0M	1.0 GB	2024-06-26	not specified

`Lajavaness/bilingual-embedding-large`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	1.0K	559.9M	2.1 GB	2024-06-24	eng-Latn, fra-Latn

`Lajavaness/bilingual-embedding-small`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	117.7M	449.0 MB	2024-07-17	eng-Latn, fra-Latn

`MCINext/Hakim`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	124.4M	475.0 MB	2025-05-10	fas-Arab

`MCINext/Hakim-small`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	512	38.7M	148.0 MB	2025-05-10	fas-Arab

`MCINext/Hakim-unsup`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	124.4M	475.0 MB	2025-05-10	fas-Arab

`Mihaiii/Bulbasaur`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	17.4M	66.0 MB	2024-04-27	not specified

`Mihaiii/Ivysaur`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	22.7M	87.0 MB	2024-04-27	not specified

`Mihaiii/Squirtle`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	15.6M	60.0 MB	2024-04-30	not specified

`Mihaiii/Venusaur`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	15.6M	60.0 MB	2024-04-29	not specified

`Mihaiii/Wartortle`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	17.4M	66.0 MB	2024-04-30	not specified

`Mihaiii/gte-micro`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	17.4M	66.0 MB	2024-04-21	not specified

`Mihaiii/gte-micro-v4`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	19.2M	73.0 MB	2024-04-22	not specified

`NbAiLab/nb-sbert-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
75.0	4.1K	1.8B	197.0 MB	2022-11-23	dan-Latn, nno-Latn, nob-Latn, swe-Latn

`NeuML/pubmedbert-base-embeddings-100K`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	64	100.0K	0.0 MB	2025-01-03	eng-Latn

`NeuML/pubmedbert-base-embeddings-1M`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	64	1.0M	2.0 MB	2025-01-03	eng-Latn

`NeuML/pubmedbert-base-embeddings-2M`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	64	1.9M	7.0 MB	2025-01-03	eng-Latn

`NeuML/pubmedbert-base-embeddings-500K`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	64	500.0K	2.0 MB	2025-01-03	eng-Latn

`NeuML/pubmedbert-base-embeddings-8M`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	256	7.8M	30.0 MB	2025-01-03	eng-Latn

`Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	135.2M	516.0 MB	2024-06-16	ara-Arab

`Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	117.7M	449.0 MB	2024-06-25	ara-Arab

`Omartificial-Intelligence-Space/Arabic-Triplet-Matryoshka-V2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
768.0	768	135.0M	516.0 MB	2024-07-28	ara-Arab

`Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	278.0M	1.0 GB	2024-06-14	ara-Arab

`Omartificial-Intelligence-Space/Arabic-labse-Matryoshka`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	470.9M	1.8 GB	2024-06-16	ara-Arab

`Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	109.5M	418.0 MB	2024-06-15	ara-Arab

`Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	162.8M	621.0 MB	2024-06-17	ara-Arab

`OpenSearch-AI/Ops-MoA-Conan-embedding-v1`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.5K	343.0M	2.0 GB	2025-03-26	zho-Hans

`OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.5K	343.0M	2.0 GB	2025-03-26	zho-Hans

`OrdalieTech/Solon-embeddings-large-0.1`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	1.0K	559.9M	2.1 GB	2023-12-09	fra-Latn

`OrlikB/KartonBERT-USE-base-v1`¶

License: gpl-3.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	103.7M	396.0 MB	2024-09-30	pol-Latn

`OrlikB/st-polish-kartonberta-base-alpha-v1`¶

License: lgpl

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	not specified	not specified	2023-11-12	pol-Latn

`PartAI/Tooka-SBERT`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	353.0M	1.3 GB	2024-12-07	fas-Arab

`PartAI/Tooka-SBERT-V2-Large`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	353.0M	1.3 GB	2025-05-01	fas-Arab

`PartAI/Tooka-SBERT-V2-Small`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	122.9M	496.0 MB	2025-05-01	fas-Arab

`PartAI/TookaBERT-Base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	122.9M	469.0 MB	2024-12-08	fas-Arab

`Qodo/Qodo-Embed-1-1.5B`¶

License: https://huggingface.co/Qodo/Qodo-Embed-1-1.5B/blob/main/LICENSE

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	1.5K	1.8B	6.6 GB	2025-02-19	c#-Code, c++-Code, go-Code, java-Code, javascript-Code, ... (9)

`Qodo/Qodo-Embed-1-7B`¶

License: https://huggingface.co/Qodo/Qodo-Embed-1-1.5B/blob/main/LICENSE

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
32.8K	3.6K	7.6B	28.4 GB	2025-02-24	c#-Code, c++-Code, go-Code, java-Code, javascript-Code, ... (9)

`Shuu12121/CodeSearch-ModernBERT-Crow-Plus`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
1.0K	768	151.7M	607.0 MB	2025-04-21	eng-Latn

`TencentBAC/Conan-embedding-v1`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	326.0M	1.2 GB	2024-08-22	zho-Hans

`VoVanPhuc/sup-SimCSE-VietNamese-phobert-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
256.0	768	135.0M	517.0 MB	2021-05-26	vie-Latn

`aari1995/German_Semantic_STS_V2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.7M	1.3 GB	2022-11-17	deu-Latn

`abhinand/MedEmbed-small-v0.1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	33.4M	127.0 MB	2024-10-20	eng-Latn

`ai-forever/sbert_large_mt_nlu_ru`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	427.0M	1.6 GB	2021-05-18	rus-Cyrl

`ai-forever/sbert_large_nlu_ru`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	427.0M	1.6 GB	2020-11-20	rus-Cyrl

`amazon/Titan-text-embeddings-v2`¶

License: https://aws.amazon.com/service-terms/

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2024-04-30	eng-Latn

`avsolatorio/GIST-Embedding-v0`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.5M	418.0 MB	2024-01-31	eng-Latn

`avsolatorio/GIST-all-MiniLM-L6-v2`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	22.7M	87.0 MB	2024-02-03	eng-Latn

`avsolatorio/GIST-large-Embedding-v0`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.1M	1.2 GB	2024-02-14	eng-Latn

`avsolatorio/GIST-small-Embedding-v0`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	33.4M	127.0 MB	2024-02-03	eng-Latn

`avsolatorio/NoInstruct-small-Embedding-v0`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	33.4M	127.0 MB	2024-05-01	eng-Latn

`bedrock/amazon-titan-embed-text-v1`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.5K	not specified	not specified	2023-09-27	not specified

`bedrock/amazon-titan-embed-text-v2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	not specified	not specified	2024-04-30	not specified

`bigscience/sgpt-bloom-7b1-msmarco`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	4.1K	not specified	not specified	2022-08-26	not specified

`bkai-foundation-models/vietnamese-bi-encoder`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
256.0	768	135.0M	515.0 MB	2023-09-09	vie-Latn

`bm25s`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2024-07-10	eng-Latn

`brahmairesearch/slx-v0.1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	22.7M	87.0 MB	2024-08-13	eng-Latn

`castorini/monobert-large-msmarco`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2020-05-28	eng-Latn

`castorini/monot5-3b-msmarco-10k`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2022-03-28	eng-Latn

Citation

@misc{rosa2022parameterleftbehinddistillation,
      title={No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval},
      author={Guilherme Moraes Rosa and Luiz Bonifacio and Vitor Jeronymo and Hugo Abonizio and Marzieh Fadaee and Roberto Lotufo and Rodrigo Nogueira},
      year={2022},
      eprint={2206.02873},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2206.02873},
    }

`castorini/monot5-base-msmarco-10k`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2022-03-28	eng-Latn

Citation

@misc{rosa2022parameterleftbehinddistillation,
      title={No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval},
      author={Guilherme Moraes Rosa and Luiz Bonifacio and Vitor Jeronymo and Hugo Abonizio and Marzieh Fadaee and Roberto Lotufo and Rodrigo Nogueira},
      year={2022},
      eprint={2206.02873},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2206.02873},
    }

`castorini/monot5-large-msmarco-10k`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2022-03-28	eng-Latn

Citation

@misc{rosa2022parameterleftbehinddistillation,
      title={No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval},
      author={Guilherme Moraes Rosa and Luiz Bonifacio and Vitor Jeronymo and Hugo Abonizio and Marzieh Fadaee and Roberto Lotufo and Rodrigo Nogueira},
      year={2022},
      eprint={2206.02873},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2206.02873},
    }

`castorini/monot5-small-msmarco-10k`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2022-03-28	eng-Latn

Citation

@misc{rosa2022parameterleftbehinddistillation,
      title={No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval},
      author={Guilherme Moraes Rosa and Luiz Bonifacio and Vitor Jeronymo and Hugo Abonizio and Marzieh Fadaee and Roberto Lotufo and Rodrigo Nogueira},
      year={2022},
      eprint={2206.02873},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2206.02873},
    }

`codesage/codesage-base-v2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	1.0K	356.0M	1.3 GB	2024-02-03	go-Code, java-Code, javascript-Code, php-Code, python-Code, ... (6)

`codesage/codesage-large-v2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	2.0K	1.3B	4.8 GB	2024-02-03	go-Code, java-Code, javascript-Code, php-Code, python-Code, ... (6)

`codesage/codesage-small-v2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	1.0K	130.0M	496.0 MB	2024-02-03	go-Code, java-Code, javascript-Code, php-Code, python-Code, ... (6)

`cointegrated/LaBSE-en-ru`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	129.0M	492.0 MB	2021-06-10	rus-Cyrl

`cointegrated/rubert-tiny`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	312	11.9M	45.0 MB	2021-05-24	rus-Cyrl

`cointegrated/rubert-tiny2`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	312	29.4M	112.0 MB	2021-10-28	rus-Cyrl

`colbert-ir/colbertv2.0`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
180.0	not specified	110.0M	418.0 MB	2024-09-21	eng-Latn

`consciousAI/cai-lunaris-text-embeddings`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	not specified	not specified	2023-06-22	not specified

`consciousAI/cai-stellaris-text-embeddings`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	not specified	not specified	2023-06-23	not specified

`deepfile/embedder-100p`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	not specified	1.0 GB	2023-07-24	not specified

`deepvk/USER-bge-m3`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	359.0M	1.3 GB	2024-07-05	rus-Cyrl

`deepvk/deberta-v1-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	124.0M	473.0 MB	2023-02-07	rus-Cyrl

`dunzhang/stella-large-zh-v3-1792d`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.8K	not specified	not specified	2024-02-17	zho-Hans

`dunzhang/stella-mrl-large-zh-v3.5-1792d`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.8K	326.0M	1.2 GB	2024-02-27	zho-Hans

`dwzhu/e5-base-4k`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.1K	not specified	not specified	not specified	2024-03-28	eng-Latn

`facebook/SONAR`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	not specified	not specified	2021-05-21	ace-Arab, ace-Latn, acm-Arab, acq-Arab, aeb-Arab, ... (204)

`facebook/contriever-msmarco`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	150.0M	572.0 MB	2022-06-25	eng-Latn

Citation

    @misc{izacard2021contriever,
      title={Unsupervised Dense Information Retrieval with Contrastive Learning},
      author={Gautier Izacard and Mathilde Caron and Lucas Hosseini and Sebastian Riedel and Piotr Bojanowski and Armand Joulin and Edouard Grave},
      year={2021},
      url = {https://arxiv.org/abs/2112.09118},
      doi = {10.48550/ARXIV.2112.09118},
    }

`fangxq/XYZ-embedding`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	326.0M	1.2 GB	2024-09-13	zho-Hans

`google/flan-t5-base`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	944.0 MB	2022-10-21	eng-Latn

Citation

@misc{10.48550/arxiv.2210.11416,
      doi = {10.48550/ARXIV.2210.11416},
      url = {https://arxiv.org/abs/2210.11416},
      author = {Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Eric and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and Webson, Albert and Gu, Shixiang Shane and Dai, Zhuyun and Suzgun, Mirac and Chen, Xinyun and Chowdhery, Aakanksha and Narang, Sharan and Mishra, Gaurav and Yu, Adams and Zhao, Vincent and Huang, Yanping and Dai, Andrew and Yu, Hongkun and Petrov, Slav and Chi, Ed H. and Dean, Jeff and Devlin, Jacob and Roberts, Adam and Zhou, Denny and Le, Quoc V. and Wei, Jason},
      keywords = {Machine Learning (cs.LG), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
      title = {Scaling Instruction-Finetuned Language Models},
      publisher = {arXiv},
      year = {2022},
      copyright = {Creative Commons Attribution 4.0 International}
    }

`google/flan-t5-large`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	2.9 GB	2022-10-21	eng-Latn

Citation

@misc{10.48550/arxiv.2210.11416,
      doi = {10.48550/ARXIV.2210.11416},
      url = {https://arxiv.org/abs/2210.11416},
      author = {Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Eric and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and Webson, Albert and Gu, Shixiang Shane and Dai, Zhuyun and Suzgun, Mirac and Chen, Xinyun and Chowdhery, Aakanksha and Narang, Sharan and Mishra, Gaurav and Yu, Adams and Zhao, Vincent and Huang, Yanping and Dai, Andrew and Yu, Hongkun and Petrov, Slav and Chi, Ed H. and Dean, Jeff and Devlin, Jacob and Roberts, Adam and Zhou, Denny and Le, Quoc V. and Wei, Jason},
      keywords = {Machine Learning (cs.LG), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
      title = {Scaling Instruction-Finetuned Language Models},
      publisher = {arXiv},
      year = {2022},
      copyright = {Creative Commons Attribution 4.0 International}
    }

`google/flan-t5-xl`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	10.6 GB	2022-10-21	eng-Latn

Citation

@misc{10.48550/arxiv.2210.11416,
      doi = {10.48550/ARXIV.2210.11416},
      url = {https://arxiv.org/abs/2210.11416},
      author = {Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Eric and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and Webson, Albert and Gu, Shixiang Shane and Dai, Zhuyun and Suzgun, Mirac and Chen, Xinyun and Chowdhery, Aakanksha and Narang, Sharan and Mishra, Gaurav and Yu, Adams and Zhao, Vincent and Huang, Yanping and Dai, Andrew and Yu, Hongkun and Petrov, Slav and Chi, Ed H. and Dean, Jeff and Devlin, Jacob and Roberts, Adam and Zhou, Denny and Le, Quoc V. and Wei, Jason},
      keywords = {Machine Learning (cs.LG), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
      title = {Scaling Instruction-Finetuned Language Models},
      publisher = {arXiv},
      year = {2022},
      copyright = {Creative Commons Attribution 4.0 International}
    }

`google/flan-t5-xxl`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	42.0 GB	2022-10-21	eng-Latn

Citation

@misc{10.48550/arxiv.2210.11416,
      doi = {10.48550/ARXIV.2210.11416},
      url = {https://arxiv.org/abs/2210.11416},
      author = {Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Eric and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and Webson, Albert and Gu, Shixiang Shane and Dai, Zhuyun and Suzgun, Mirac and Chen, Xinyun and Chowdhery, Aakanksha and Narang, Sharan and Mishra, Gaurav and Yu, Adams and Zhao, Vincent and Huang, Yanping and Dai, Andrew and Yu, Hongkun and Petrov, Slav and Chi, Ed H. and Dean, Jeff and Devlin, Jacob and Roberts, Adam and Zhou, Denny and Le, Quoc V. and Wei, Jason},
      keywords = {Machine Learning (cs.LG), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
      title = {Scaling Instruction-Finetuned Language Models},
      publisher = {arXiv},
      year = {2022},
      copyright = {Creative Commons Attribution 4.0 International}
    }

`hiieu/halong_embedding`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	278.0M	1.0 GB	2024-07-06	vie-Latn

`iampanda/zpoint_large_embedding_zh`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.8K	326.0M	1.2 GB	2024-06-04	zho-Hans

`ibm-granite/granite-embedding-107m-multilingual`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	107.0M	204.0 MB	2024-12-18	ara-Latn, ces-Latn, deu-Latn, eng-Latn, fra-Latn, ... (13)

`ibm-granite/granite-embedding-125m-english`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	125.0M	238.0 MB	2024-12-18	eng-Latn

`ibm-granite/granite-embedding-278m-multilingual`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	278.0M	530.0 MB	2024-12-18	ara-Latn, ces-Latn, deu-Latn, eng-Latn, fra-Latn, ... (13)

`ibm-granite/granite-embedding-30m-english`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	30.0M	58.0 MB	2024-12-18	eng-Latn

`ibm-granite/granite-embedding-english-r2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	149.0M	284.0 MB	2025-08-15	eng-Latn

`ibm-granite/granite-embedding-small-english-r2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	384	47.0M	91.0 MB	2025-08-15	eng-Latn

`infgrad/stella-base-en-v2`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	not specified	not specified	not specified	2023-10-19	eng-Latn

`infgrad/stella-base-zh-v3-1792d`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.8K	not specified	not specified	2024-02-17	zho-Hans

`izhx/udever-bloom-1b1`¶

License: https://huggingface.co/spaces/bigscience/license

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2023-10-24	aka-Latn, ara-Arab, asm-Beng, bam-Latn, ben-Beng, ... (45)

`izhx/udever-bloom-3b`¶

License: https://huggingface.co/spaces/bigscience/license

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2023-10-24	aka-Latn, ara-Arab, asm-Beng, bam-Latn, ben-Beng, ... (45)

`izhx/udever-bloom-560m`¶

License: https://huggingface.co/spaces/bigscience/license

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2023-10-24	aka-Latn, ara-Arab, asm-Beng, bam-Latn, ben-Beng, ... (45)

`izhx/udever-bloom-7b1`¶

License: https://huggingface.co/spaces/bigscience/license

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2023-10-24	aka-Latn, ara-Arab, asm-Beng, bam-Latn, ben-Beng, ... (45)

`jhu-clsp/FollowIR-7B`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	13.5 GB	2024-04-29	eng-Latn

Citation

    @misc{weller2024followir,
      title={FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions},
      author={Orion Weller and Benjamin Chang and Sean MacAvaney and Kyle Lo and Arman Cohan and Benjamin Van Durme and Dawn Lawrie and Luca Soldaini},
      year={2024},
      eprint={2403.15246},
      archivePrefix={arXiv},
      primaryClass={cs.IR}
    }

`jinaai/jina-colbert-v2`¶

License: cc-by-nc-4.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	not specified	559.0M	1.0 GB	2024-08-16	ara-Arab, ben-Beng, deu-Latn, eng-Latn, fas-Arab, ... (22)

`jinaai/jina-embedding-b-en-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	110.0M	420.0 MB	2023-07-07	eng-Latn

`jinaai/jina-embedding-s-en-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	512	35.0M	134.0 MB	2023-07-07	eng-Latn

`jinaai/jina-embeddings-v2-base-en`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	768	137.0M	262.0 MB	2023-09-27	eng-Latn

`jinaai/jina-embeddings-v2-small-en`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	512	32.7M	62.0 MB	2023-09-27	eng-Latn

`jinaai/jina-reranker-v2-base-multilingual`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	531.0 MB	2024-09-26	eng-Latn

`keeeeenw/MicroLlama-text-embedding`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	1.0K	272.0M	1.0 GB	2024-11-10	eng-Latn

`lier007/xiaobu-embedding`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	326.0M	1.2 GB	2024-01-09	zho-Hans

`lier007/xiaobu-embedding-v2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	326.0M	1.2 GB	2024-06-30	zho-Hans

`lightonai/GTE-ModernColBERT-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	not specified	149.0M	not specified	2025-04-30	eng-Latn

`llmrails/ember-v1`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.0M	1.2 GB	2023-10-10	eng-Latn

`m3hrdadfi/bert-zwnj-wnli-mean-tokens`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	118.3M	451.0 MB	2021-06-28	fas-Arab

`m3hrdadfi/roberta-zwnj-wnli-mean-tokens`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	118.3M	451.0 MB	2021-06-28	fas-Arab

`malenia1/ternary-weight-embedding`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	98.7M	158.0 MB	2024-10-23	not specified

`manu/bge-m3-custom-fr`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.0K	567.8M	2.1 GB	2024-04-11	not specified

`manu/sentence_croissant_alpha_v0.2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	2.0K	1.3B	2.4 GB	2024-03-15	not specified

`manu/sentence_croissant_alpha_v0.3`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	2.0K	1.3B	2.4 GB	2024-04-26	not specified

`manu/sentence_croissant_alpha_v0.4`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	2.0K	1.3B	2.4 GB	2024-04-27	eng-Latn, fra-Latn

`meta-llama/Llama-2-7b-chat-hf`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2023-07-18	eng-Latn

Citation

@misc{touvron2023llama2openfoundation,
      title={Llama 2: Open Foundation and Fine-Tuned Chat Models},
      author={Hugo Touvron and Louis Martin and Kevin Stone and Peter Albert and Amjad Almahairi and Yasmine Babaei and Nikolay Bashlykov and Soumya Batra and Prajjwal Bhargava and Shruti Bhosale and Dan Bikel and Lukas Blecher and Cristian Canton Ferrer and Moya Chen and Guillem Cucurull and David Esiobu and Jude Fernandes and Jeremy Fu and Wenyin Fu and Brian Fuller and Cynthia Gao and Vedanuj Goswami and Naman Goyal and Anthony Hartshorn and Saghar Hosseini and Rui Hou and Hakan Inan and Marcin Kardas and Viktor Kerkez and Madian Khabsa and Isabel Kloumann and Artem Korenev and Punit Singh Koura and Marie-Anne Lachaux and Thibaut Lavril and Jenya Lee and Diana Liskovich and Yinghai Lu and Yuning Mao and Xavier Martinet and Todor Mihaylov and Pushkar Mishra and Igor Molybog and Yixin Nie and Andrew Poulton and Jeremy Reizenstein and Rashi Rungta and Kalyan Saladi and Alan Schelten and Ruan Silva and Eric Michael Smith and Ranjan Subramanian and Xiaoqing Ellen Tan and Binh Tang and Ross Taylor and Adina Williams and Jian Xiang Kuan and Puxin Xu and Zheng Yan and Iliyan Zarov and Yuchen Zhang and Angela Fan and Melanie Kambadur and Sharan Narang and Aurelien Rodriguez and Robert Stojnic and Sergey Edunov and Thomas Scialom},
      year={2023},
      eprint={2307.09288},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2307.09288},
    }

`meta-llama/Llama-2-7b-hf`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2023-07-18	eng-Latn

Citation

@misc{touvron2023llama2openfoundation,
      title={Llama 2: Open Foundation and Fine-Tuned Chat Models},
      author={Hugo Touvron and Louis Martin and Kevin Stone and Peter Albert and Amjad Almahairi and Yasmine Babaei and Nikolay Bashlykov and Soumya Batra and Prajjwal Bhargava and Shruti Bhosale and Dan Bikel and Lukas Blecher and Cristian Canton Ferrer and Moya Chen and Guillem Cucurull and David Esiobu and Jude Fernandes and Jeremy Fu and Wenyin Fu and Brian Fuller and Cynthia Gao and Vedanuj Goswami and Naman Goyal and Anthony Hartshorn and Saghar Hosseini and Rui Hou and Hakan Inan and Marcin Kardas and Viktor Kerkez and Madian Khabsa and Isabel Kloumann and Artem Korenev and Punit Singh Koura and Marie-Anne Lachaux and Thibaut Lavril and Jenya Lee and Diana Liskovich and Yinghai Lu and Yuning Mao and Xavier Martinet and Todor Mihaylov and Pushkar Mishra and Igor Molybog and Yixin Nie and Andrew Poulton and Jeremy Reizenstein and Rashi Rungta and Kalyan Saladi and Alan Schelten and Ruan Silva and Eric Michael Smith and Ranjan Subramanian and Xiaoqing Ellen Tan and Binh Tang and Ross Taylor and Adina Williams and Jian Xiang Kuan and Puxin Xu and Zheng Yan and Iliyan Zarov and Yuchen Zhang and Angela Fan and Melanie Kambadur and Sharan Narang and Aurelien Rodriguez and Robert Stojnic and Sergey Edunov and Thomas Scialom},
      year={2023},
      eprint={2307.09288},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2307.09288},
    }

`minishlab/M2V_base_glove`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	256	102.0M	391.0 MB	2024-09-21	eng-Latn

`minishlab/M2V_base_glove_subword`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	256	103.0M	391.0 MB	2024-09-21	eng-Latn

`minishlab/M2V_base_output`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	256	7.6M	29.0 MB	2024-09-21	eng-Latn

`minishlab/M2V_multilingual_output`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	256	128.0M	489.0 MB	2024-09-21	eng-Latn

`minishlab/potion-base-2M`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	64	2.0M	7.0 MB	2024-10-29	eng-Latn

`minishlab/potion-base-4M`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	128	3.8M	14.0 MB	2024-10-29	eng-Latn

`minishlab/potion-base-8M`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	256	7.6M	29.0 MB	2024-10-29	eng-Latn

`minishlab/potion-multilingual-128M`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
infP	256	128.0M	489.0 MB	2025-05-23	afr-Latn, amh-Ethi, ara-Arab, aze-Latn, bel-Cyrl, ... (101)

`mistralai/Mistral-7B-Instruct-v0.2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2023-12-11	eng-Latn

Citation

@misc{jiang2023mistral7b,
      title={Mistral 7B},
      author={Albert Q. Jiang and Alexandre Sablayrolles and Arthur Mensch and Chris Bamford and Devendra Singh Chaplot and Diego de las Casas and Florian Bressand and Gianna Lengyel and Guillaume Lample and Lucile Saulnier and Lélio Renard Lavaud and Marie-Anne Lachaux and Pierre Stock and Teven Le Scao and Thibaut Lavril and Thomas Wang and Timothée Lacroix and William El Sayed},
      year={2023},
      eprint={2310.06825},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2310.06825},
    }

`moka-ai/m3e-base`¶

License: https://huggingface.co/moka-ai/m3e-base#%F0%9F%93%9C-license

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	102.0M	390.0 MB	2023-06-06	eng-Latn, zho-Hans

`moka-ai/m3e-large`¶

License: https://huggingface.co/moka-ai/m3e-base#%F0%9F%93%9C-license

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	not specified	not specified	2023-06-21	eng-Latn, zho-Hans

`moka-ai/m3e-small`¶

License: https://huggingface.co/moka-ai/m3e-base#%F0%9F%93%9C-license

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	512	not specified	not specified	2023-06-02	eng-Latn, zho-Hans

`myrkur/sentence-transformer-parsbert-fa`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	162.8M	621.0 MB	2024-12-10	fas-Arab

`omarelshehy/arabic-english-sts-matryoshka`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	1.0K	559.9M	2.1 GB	2024-10-13	ara-Arab, eng-Latn

`openai/text-embedding-3-large`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	3.1K	not specified	not specified	2024-01-25	not specified

`openai/text-embedding-3-large (embed_dim=512)`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	512	not specified	not specified	2024-01-25	not specified

`openai/text-embedding-3-small`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.5K	not specified	not specified	2024-01-25	not specified

`openai/text-embedding-3-small (embed_dim=512)`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	512	not specified	not specified	2024-01-25	not specified

`openai/text-embedding-ada-002`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
8.2K	1.5K	not specified	not specified	2022-12-15	not specified

`openbmb/MiniCPM-Embedding`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	2.3K	2.7B	5.1 GB	2024-09-04	eng-Latn, zho-Hans

`panalexeu/xlm-roberta-ua-distilled`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	278.0M	1.0 GB	2025-04-15	eng-Latn, ukr-Cyrl

`prdev/mini-gte`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	66.3M	253.0 MB	2025-01-28	eng-Latn

`richinfoai/ritrieve_zh_v1`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.8K	326.0M	1.2 GB	2025-03-25	zho-Hans

`sbunlp/fabert`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	124.4M	475.0 MB	2024-10-07	fas-Arab

`sdadas/mmlw-e5-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	278.0M	1.0 GB	2023-11-17	pol-Latn

`sdadas/mmlw-e5-large`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	1.0K	559.9M	2.1 GB	2023-11-17	pol-Latn

`sdadas/mmlw-e5-small`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	117.7M	449.0 MB	2023-11-17	pol-Latn

`sdadas/mmlw-roberta-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	768	124.4M	475.0 MB	2023-11-17	pol-Latn

`sdadas/mmlw-roberta-large`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
514.0	1.0K	435.0M	1.6 GB	2023-11-17	pol-Latn

`sensenova/piccolo-base-zh`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	not specified	not specified	2023-09-04	zho-Hans

`sensenova/piccolo-large-zh-v2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	not specified	not specified	2024-04-22	zho-Hans

`sentence-transformers/LaBSE`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	471.0M	1.8 GB	2019-11-01	ara-Arab, bul-Cyrl, cat-Latn, ces-Latn, dan-Latn, ... (53)

Citation

@misc{feng2022languageagnosticbertsentenceembedding,
      title={Language-agnostic BERT Sentence Embedding},
      author={Fangxiaoyu Feng and Yinfei Yang and Daniel Cer and Naveen Arivazhagan and Wei Wang},
      year={2022},
      eprint={2007.01852},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2007.01852},
    }

`sentence-transformers/all-MiniLM-L12-v2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
256.0	384	33.4M	127.0 MB	2021-08-30	eng-Latn

Citation

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}

`sentence-transformers/all-MiniLM-L6-v2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
256.0	384	22.7M	87.0 MB	2021-08-30	eng-Latn

Citation

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}

`sentence-transformers/all-mpnet-base-v2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
384.0	768	109.0M	418.0 MB	2021-08-30	eng-Latn

Citation

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}

`sentence-transformers/gtr-t5-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	110.0M	209.0 MB	2022-02-09	eng-Latn

`sentence-transformers/gtr-t5-large`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	335.0M	639.0 MB	2022-02-09	eng-Latn

`sentence-transformers/gtr-t5-xl`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	1.2B	2.3 GB	2022-02-09	eng-Latn

`sentence-transformers/gtr-t5-xxl`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	4.9B	9.1 GB	2022-02-09	eng-Latn

`sentence-transformers/multi-qa-MiniLM-L6-cos-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	22.7M	87.0 MB	2021-08-30	eng-Latn

Citation

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}

`sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	118.0M	449.0 MB	2019-11-01	ara-Arab, bul-Cyrl, cat-Latn, ces-Latn, dan-Latn, ... (53)

Citation

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}

`sentence-transformers/paraphrase-multilingual-mpnet-base-v2`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	278.0M	1.0 GB	2019-11-01	ara-Arab, bul-Cyrl, cat-Latn, ces-Latn, dan-Latn, ... (53)

Citation

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}

`sentence-transformers/sentence-t5-base`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	110.0M	209.0 MB	2022-02-09	eng-Latn

`sentence-transformers/sentence-t5-large`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	335.0M	639.0 MB	2022-02-09	eng-Latn

`sentence-transformers/sentence-t5-xl`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	3.0B	2.3 GB	2024-03-27	eng-Latn

`sentence-transformers/sentence-t5-xxl`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	11.0B	9.1 GB	2024-03-27	eng-Latn

`sentence-transformers/static-similarity-mrl-multilingual-v1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	1.0K	108.4M	413.0 MB	2025-01-15	ara-Arab, bul-Cyrl, cat-Latn, ces-Latn, dan-Latn, ... (49)

`sergeyzh/LaBSE-ru-turbo`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	129.0M	490.0 MB	2024-06-27	rus-Cyrl

`sergeyzh/rubert-tiny-turbo`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
2.0K	312	29.2M	111.0 MB	2024-06-21	rus-Cyrl

`shibing624/text2vec-base-chinese`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	102.0M	390.0 MB	2022-01-23	zho-Hans

`shibing624/text2vec-base-chinese-paraphrase`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	118.0M	450.0 MB	2023-06-19	zho-Hans

`shibing624/text2vec-base-multilingual`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	117.7M	449.0 MB	2023-06-22	deu-Latn, eng-Latn, fra-Latn, ita-Latn, nld-Latn, ... (9)

`silma-ai/silma-embeddding-matryoshka-v0.1`¶

License: apache-2.0

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	135.2M	516.0 MB	2024-10-12	ara-Arab, eng-Latn

`thenlper/gte-base`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	768	109.5M	209.0 MB	2023-07-27	eng-Latn

`thenlper/gte-base-zh`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	102.0M	195.0 MB	2023-11-08	zho-Hans

`thenlper/gte-large`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	335.1M	639.0 MB	2023-07-27	eng-Latn

`thenlper/gte-large-zh`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	326.0M	621.0 MB	2023-11-08	zho-Hans

`thenlper/gte-small`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	384	33.4M	64.0 MB	2023-07-27	eng-Latn

`thenlper/gte-small-zh`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
512.0	1.0K	30.3M	58.0 MB	2023-11-08	zho-Hans

`unicamp-dl/mt5-13b-mmarco-100k`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2022-11-04	afr-Latn, amh-Ethi, ara-Arab, aze-Latn, bel-Cyrl, ... (101)

`unicamp-dl/mt5-base-mmarco-v2`¶

License: not specified

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
not specified	not specified	not specified	not specified	2022-01-05	afr-Latn, amh-Ethi, ara-Arab, aze-Latn, bel-Cyrl, ... (101)

Citation

@misc{bonifacio2021mmarco,
      title={mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset},
      author={Luiz Henrique Bonifacio and Vitor Jeronymo and Hugo Queiroz Abonizio and Israel Campiotti and Marzieh Fadaee and  and Roberto Lotufo and Rodrigo Nogueira},
      year={2021},
      eprint={2108.13897},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
    }

`w601sxs/b1ade-embed`¶

License: mit

Max Tokens	Embedding dimension	Parameters	Required Memory (Mb)	Release date	Languages
4.1K	1.0K	335.0M	1.2 GB	2025-03-10	eng-Latn