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| model_meta: | |
| gte-Qwen1.5-7B-instruct: | |
| link: https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct | |
| seq_len: 32768 | |
| size: 7099 | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| Baichuan-text-embedding: | |
| link: https://platform.baichuan-ai.com/docs/text-Embedding | |
| seq_len: 512 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| Cohere-embed-english-v3.0: | |
| link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0 | |
| seq_len: 512 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| Cohere-embed-multilingual-light-v3.0: | |
| link: https://huggingface.co/Cohere/Cohere-embed-multilingual-light-v3.0 | |
| seq_len: 512 | |
| size: null | |
| dim: 384 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| Cohere-embed-multilingual-v3.0: | |
| link: https://huggingface.co/Cohere/Cohere-embed-multilingual-v3.0 | |
| seq_len: 512 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| DanskBERT: | |
| link: https://huggingface.co/vesteinn/DanskBERT | |
| seq_len: 514 | |
| size: 125 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| FollowIR-7B: | |
| link: https://huggingface.co/jhu-clsp/FollowIR-7B | |
| seq_len: 4096 | |
| size: 7240 | |
| is_external: true | |
| is_propietary: false | |
| is_sentence_transformer_compatible: false | |
| GritLM-7B: | |
| link: https://huggingface.co/GritLM/GritLM-7B | |
| seq_len: 4096 | |
| size: 7240 | |
| is_external: true | |
| is_propietary: false | |
| is_sentence_transformer_compatible: false | |
| LASER2: | |
| link: https://github.com/facebookresearch/LASER | |
| seq_len: N/A | |
| size: 43 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| LLM2Vec-Llama-2-supervised: | |
| link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised | |
| seq_len: 4096 | |
| size: 6607 | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| LLM2Vec-Llama-2-unsupervised: | |
| link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse | |
| seq_len: 4096 | |
| size: 6607 | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| LLM2Vec-Meta-Llama-3-supervised: | |
| link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised | |
| seq_len: 8192 | |
| size: 7505 | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| LLM2Vec-Meta-Llama-3-unsupervised: | |
| link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse | |
| seq_len: 8192 | |
| size: 7505 | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| LLM2Vec-Mistral-supervised: | |
| link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised | |
| seq_len: 32768 | |
| size: 7111 | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| LLM2Vec-Mistral-unsupervised: | |
| link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse | |
| seq_len: 32768 | |
| size: 7111 | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| LLM2Vec-Sheared-Llama-supervised: | |
| link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised | |
| seq_len: 4096 | |
| size: 1280 | |
| dim: 2048 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| LLM2Vec-Sheared-Llama-unsupervised: | |
| link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse | |
| seq_len: 4096 | |
| size: 1280 | |
| dim: 2048 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| LaBSE: | |
| link: https://huggingface.co/sentence-transformers/LaBSE | |
| seq_len: 512 | |
| size: 471 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| OpenSearch-text-hybrid: | |
| link: https://help.aliyun.com/zh/open-search/vector-search-edition/hybrid-retrieval | |
| seq_len: 512 | |
| size: null | |
| dim: 1792 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| all-MiniLM-L12-v2: | |
| link: https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2 | |
| seq_len: 512 | |
| size: 33 | |
| dim: 384 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| all-MiniLM-L6-v2: | |
| link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 | |
| seq_len: 512 | |
| size: 23 | |
| dim: 384 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| all-mpnet-base-v2: | |
| link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2 | |
| seq_len: 514 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| allenai-specter: | |
| link: https://huggingface.co/sentence-transformers/allenai-specter | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bert-base-10lang-cased: | |
| link: https://huggingface.co/Geotrend/bert-base-10lang-cased | |
| seq_len: 512 | |
| size: 138 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bert-base-15lang-cased: | |
| link: https://huggingface.co/Geotrend/bert-base-15lang-cased | |
| seq_len: 512 | |
| size: 138 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bert-base-25lang-cased: | |
| link: https://huggingface.co/Geotrend/bert-base-25lang-cased | |
| seq_len: 512 | |
| size: 138 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bert-base-multilingual-cased: | |
| link: https://huggingface.co/google-bert/bert-base-multilingual-cased | |
| seq_len: 512 | |
| size: 179 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bert-base-multilingual-uncased: | |
| link: https://huggingface.co/google-bert/bert-base-multilingual-uncased | |
| seq_len: 512 | |
| size: 168 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bert-base-swedish-cased: | |
| link: https://huggingface.co/KB/bert-base-swedish-cased | |
| seq_len: 512 | |
| size: 125 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bert-base-uncased: | |
| link: https://huggingface.co/bert-base-uncased | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bge-base-zh-v1.5: | |
| link: https://huggingface.co/BAAI/bge-base-zh-v1.5 | |
| seq_len: 512 | |
| size: 102 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bge-large-en-v1.5: | |
| link: https://huggingface.co/BAAI/bge-large-en-v1.5 | |
| seq_len: 512 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| bge-large-zh-noinstruct: | |
| link: https://huggingface.co/BAAI/bge-large-zh-noinstruct | |
| seq_len: 512 | |
| size: 326 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bge-large-zh-v1.5: | |
| link: https://huggingface.co/BAAI/bge-large-zh-v1.5 | |
| seq_len: 512 | |
| size: 326 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bge-small-zh-v1.5: | |
| link: https://huggingface.co/BAAI/bge-small-zh-v1.5 | |
| seq_len: 512 | |
| size: 24 | |
| dim: 512 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| bm25: | |
| link: https://en.wikipedia.org/wiki/Okapi_BM25 | |
| size: 0 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| camembert-base: | |
| link: https://huggingface.co/almanach/camembert-base | |
| seq_len: 512 | |
| size: 111 | |
| dim: 512 | |
| is_external: false | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| camembert-large: | |
| link: https://huggingface.co/almanach/camembert-large | |
| seq_len: 512 | |
| size: 338 | |
| dim: 768 | |
| is_external: false | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| contriever-base-msmarco: | |
| link: https://huggingface.co/nthakur/contriever-base-msmarco | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| cross-en-de-roberta-sentence-transformer: | |
| link: https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer | |
| seq_len: 514 | |
| size: 278 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| dfm-encoder-large-v1: | |
| link: https://huggingface.co/chcaa/dfm-encoder-large-v1 | |
| seq_len: 512 | |
| size: 355 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| dfm-sentence-encoder-large-1: | |
| link: https://huggingface.co/chcaa/dfm-encoder-large-v1 | |
| seq_len: 512 | |
| size: 355 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| distilbert-base-25lang-cased: | |
| link: https://huggingface.co/Geotrend/distilbert-base-25lang-cased | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: false | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| distilbert-base-en-fr-cased: | |
| link: https://huggingface.co/Geotrend/distilbert-base-en-fr-cased | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: false | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| distilbert-base-en-fr-es-pt-it-cased: | |
| link: https://huggingface.co/Geotrend/distilbert-base-en-fr-es-pt-it-cased | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: false | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| distilbert-base-fr-cased: | |
| link: https://huggingface.co/Geotrend/distilbert-base-fr-cased | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: false | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| distilbert-base-uncased: | |
| link: https://huggingface.co/distilbert-base-uncased | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: false | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| distiluse-base-multilingual-cased-v2: | |
| link: https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2 | |
| seq_len: 512 | |
| size: 135 | |
| dim: 512 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| e5-base-v2: | |
| link: https://huggingface.co/intfloat/e5-base-v2 | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| e5-base: | |
| link: https://huggingface.co/intfloat/e5-base | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| e5-large-v2: | |
| link: https://huggingface.co/intfloat/e5-large-v2 | |
| seq_len: 512 | |
| size: 335 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| e5-large: | |
| link: https://huggingface.co/intfloat/e5-large | |
| seq_len: 512 | |
| size: 335 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| e5-mistral-7b-instruct: | |
| link: https://huggingface.co/intfloat/e5-mistral-7b-instruct | |
| seq_len: 32768 | |
| size: 7111 | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| e5-small: | |
| link: https://huggingface.co/intfloat/e5-small | |
| seq_len: 512 | |
| size: 33 | |
| dim: 384 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| electra-small-nordic: | |
| link: https://huggingface.co/jonfd/electra-small-nordic | |
| seq_len: 512 | |
| size: 23 | |
| dim: 256 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| electra-small-swedish-cased-discriminator: | |
| link: https://huggingface.co/KBLab/electra-small-swedish-cased-discriminator | |
| seq_len: 512 | |
| size: 16 | |
| dim: 256 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| elser-v2: | |
| link: https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| flan-t5-base: | |
| link: https://huggingface.co/google/flan-t5-base | |
| seq_len: 512 | |
| size: 220 | |
| dim: -1 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| flan-t5-large: | |
| link: https://huggingface.co/google/flan-t5-large | |
| seq_len: 512 | |
| size: 770 | |
| dim: -1 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| flaubert_base_cased: | |
| link: https://huggingface.co/flaubert/flaubert_base_cased | |
| seq_len: 512 | |
| size: 138 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| flaubert_base_uncased: | |
| link: https://huggingface.co/flaubert/flaubert_base_uncased | |
| seq_len: 512 | |
| size: 138 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| flaubert_large_cased: | |
| link: https://huggingface.co/flaubert/flaubert_large_cased | |
| seq_len: 512 | |
| size: 372 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| gbert-base: | |
| link: https://huggingface.co/deepset/gbert-base | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| gbert-large: | |
| link: https://huggingface.co/deepset/gbert-large | |
| seq_len: 512 | |
| size: 337 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| gelectra-base: | |
| link: https://huggingface.co/deepset/gelectra-base | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| gelectra-large: | |
| link: https://huggingface.co/deepset/gelectra-large | |
| seq_len: 512 | |
| size: 335 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| glove.6B.300d: | |
| link: https://huggingface.co/sentence-transformers/average_word_embeddings_glove.6B.300d | |
| seq_len: N/A | |
| size: 120 | |
| dim: 300 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| google-gecko-256.text-embedding-preview-0409: | |
| link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models | |
| seq_len: 2048 | |
| size: 1200 | |
| dim: 256 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| google-gecko.text-embedding-preview-0409: | |
| link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models | |
| seq_len: 2048 | |
| size: 1200 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| gottbert-base: | |
| link: https://huggingface.co/uklfr/gottbert-base | |
| seq_len: 512 | |
| size: 127 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| gtr-t5-base: | |
| link: https://huggingface.co/sentence-transformers/gtr-t5-base | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| gtr-t5-large: | |
| link: https://huggingface.co/sentence-transformers/gtr-t5-large | |
| seq_len: 512 | |
| size: 168 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| gtr-t5-xl: | |
| link: https://huggingface.co/sentence-transformers/gtr-t5-xl | |
| seq_len: 512 | |
| size: 1240 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| gtr-t5-xxl: | |
| link: https://huggingface.co/sentence-transformers/gtr-t5-xxl | |
| seq_len: 512 | |
| size: 4865 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| herbert-base-retrieval-v2: | |
| link: https://huggingface.co/ipipan/herbert-base-retrieval-v2 | |
| seq_len: 514 | |
| size: 125 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| instructor-base: | |
| link: https://huggingface.co/hkunlp/instructor-base | |
| seq_len: N/A | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| instructor-xl: | |
| link: https://huggingface.co/hkunlp/instructor-xl | |
| seq_len: N/A | |
| size: 1241 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| komninos: | |
| link: https://huggingface.co/sentence-transformers/average_word_embeddings_komninos | |
| seq_len: N/A | |
| size: 134 | |
| dim: 300 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| llama-2-7b-chat: | |
| link: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf | |
| seq_len: 4096 | |
| size: 7000 | |
| dim: -1 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| luotuo-bert-medium: | |
| link: https://huggingface.co/silk-road/luotuo-bert-medium | |
| seq_len: 512 | |
| size: 328 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| m3e-base: | |
| link: https://huggingface.co/moka-ai/m3e-base | |
| seq_len: 512 | |
| size: 102 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| m3e-large: | |
| link: https://huggingface.co/moka-ai/m3e-large | |
| seq_len: 512 | |
| size: 102 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| mistral-7b-instruct-v0.2: | |
| link: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2 | |
| seq_len: 4096 | |
| size: 7240 | |
| dim: -1 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| mistral-embed: | |
| link: https://docs.mistral.ai/guides/embeddings | |
| seq_len: null | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| monobert-large-msmarco: | |
| link: https://huggingface.co/castorini/monobert-large-msmarco | |
| seq_len: 512 | |
| size: 770 | |
| dim: -1 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| monot5-3b-msmarco-10k: | |
| link: https://huggingface.co/castorini/monot5-3b-msmarco-10k | |
| seq_len: 512 | |
| size: 2480 | |
| dim: -1 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| monot5-base-msmarco-10k: | |
| link: https://huggingface.co/castorini/monot5-base-msmarco-10k | |
| seq_len: 512 | |
| size: 220 | |
| dim: -1 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| msmarco-bert-co-condensor: | |
| link: https://huggingface.co/sentence-transformers/msmarco-bert-co-condensor | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| multi-qa-MiniLM-L6-cos-v1: | |
| link: https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1 | |
| seq_len: 512 | |
| size: 23 | |
| dim: 384 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| multilingual-e5-base: | |
| link: https://huggingface.co/intfloat/multilingual-e5-base | |
| seq_len: 514 | |
| size: 278 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| multilingual-e5-large: | |
| link: https://huggingface.co/intfloat/multilingual-e5-large | |
| seq_len: 514 | |
| size: 560 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| multilingual-e5-small: | |
| link: https://huggingface.co/intfloat/multilingual-e5-small | |
| seq_len: 512 | |
| size: 118 | |
| dim: 384 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| nb-bert-base: | |
| link: https://huggingface.co/NbAiLab/nb-bert-base | |
| seq_len: 512 | |
| size: 179 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| nb-bert-large: | |
| link: https://huggingface.co/NbAiLab/nb-bert-large | |
| seq_len: 512 | |
| size: 355 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| nomic-embed-text-v1.5-128: | |
| link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5 | |
| seq_len: 8192 | |
| size: 138 | |
| dim: 128 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| nomic-embed-text-v1.5-256: | |
| link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5 | |
| seq_len: 8192 | |
| size: 138 | |
| dim: 256 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| nomic-embed-text-v1.5-512: | |
| link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5 | |
| seq_len: 8192 | |
| size: 138 | |
| dim: 512 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| nomic-embed-text-v1.5-64: | |
| link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5 | |
| seq_len: 8192 | |
| size: 138 | |
| dim: 64 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| norbert3-base: | |
| link: https://huggingface.co/ltg/norbert3-base | |
| seq_len: 512 | |
| size: 131 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| norbert3-large: | |
| link: https://huggingface.co/ltg/norbert3-large | |
| seq_len: 512 | |
| size: 368 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| paraphrase-multilingual-MiniLM-L12-v2: | |
| link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | |
| seq_len: 512 | |
| size: 118 | |
| dim: 384 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| paraphrase-multilingual-mpnet-base-v2: | |
| link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2 | |
| seq_len: 514 | |
| size: 278 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| sentence-bert-swedish-cased: | |
| link: https://huggingface.co/KBLab/sentence-bert-swedish-cased | |
| seq_len: 512 | |
| size: 125 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| sentence-camembert-base: | |
| link: https://huggingface.co/dangvantuan/sentence-camembert-base | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| sentence-camembert-large: | |
| link: https://huggingface.co/dangvantuan/sentence-camembert-large | |
| seq_len: 512 | |
| size: 337 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| sentence-croissant-llm-base: | |
| link: https://huggingface.co/Wissam42/sentence-croissant-llm-base | |
| seq_len: 2048 | |
| size: 1280 | |
| dim: 2048 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| sentence-t5-base: | |
| link: https://huggingface.co/sentence-transformers/sentence-t5-base | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| sentence-t5-large: | |
| link: https://huggingface.co/sentence-transformers/sentence-t5-large | |
| seq_len: 512 | |
| size: 168 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| sentence-t5-xl: | |
| link: https://huggingface.co/sentence-transformers/sentence-t5-xl | |
| seq_len: 512 | |
| size: 1240 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| sentence-t5-xxl: | |
| link: https://huggingface.co/sentence-transformers/sentence-t5-xxl | |
| seq_len: 512 | |
| size: 4865 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| silver-retriever-base-v1: | |
| link: https://huggingface.co/ipipan/silver-retriever-base-v1 | |
| seq_len: 514 | |
| size: 125 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| st-polish-paraphrase-from-distilroberta: | |
| link: https://huggingface.co/sdadas/st-polish-paraphrase-from-distilroberta | |
| seq_len: 514 | |
| size: 125 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| st-polish-paraphrase-from-mpnet: | |
| link: https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet | |
| seq_len: 514 | |
| size: 125 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| sup-simcse-bert-base-uncased: | |
| link: https://huggingface.co/princeton-nlp/sup-simcse-bert-base-uncased | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| text-embedding-3-large: | |
| link: https://openai.com/blog/new-embedding-models-and-api-updates | |
| seq_len: 8191 | |
| size: null | |
| dim: 3072 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-embedding-3-large-256: | |
| link: https://openai.com/blog/new-embedding-models-and-api-updates | |
| seq_len: 8191 | |
| size: null | |
| dim: 256 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-embedding-3-small: | |
| link: https://openai.com/blog/new-embedding-models-and-api-updates | |
| seq_len: 8191 | |
| size: null | |
| dim: 1536 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-embedding-ada-002: | |
| link: https://openai.com/blog/new-and-improved-embedding-model | |
| seq_len: 8191 | |
| size: null | |
| dim: 1536 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-search-ada-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-search-ada-doc-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-search-ada-query-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 1024 | |
| is_external: false | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-search-babbage-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 2048 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-search-curie-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-search-davinci-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 12288 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-similarity-ada-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-similarity-babbage-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 2048 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-similarity-curie-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 4096 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| text-similarity-davinci-001: | |
| link: https://openai.com/blog/introducing-text-and-code-embeddings | |
| seq_len: 2046 | |
| size: null | |
| dim: 12288 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| tart-dual-contriever-msmarco: | |
| link: https://huggingface.co/orionweller/tart-dual-contriever-msmarco | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| tart-full-flan-t5-xl: | |
| link: https://huggingface.co/facebook/tart-full-flan-t5-xl | |
| seq_len: 512 | |
| size: 2480 | |
| dim: -1 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| text2vec-base-chinese: | |
| link: https://huggingface.co/shibing624/text2vec-base-chinese | |
| seq_len: 512 | |
| size: 102 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| text2vec-base-multilingual: | |
| link: null | |
| seq_len: null | |
| size: null | |
| dim: null | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| text2vec-large-chinese: | |
| link: https://huggingface.co/GanymedeNil/text2vec-large-chinese | |
| seq_len: 512 | |
| size: 326 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| titan-embed-text-v1: | |
| link: https://docs.aws.amazon.com/bedrock/latest/userguide/embeddings.html | |
| seq_len: 8000 | |
| size: null | |
| dim: 1536 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| udever-bloom-1b1: | |
| link: https://huggingface.co/izhx/udever-bloom-1b1 | |
| seq_len: 2048 | |
| size: null | |
| dim: 1536 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| udever-bloom-560m: | |
| link: https://huggingface.co/izhx/udever-bloom-560m | |
| seq_len: 2048 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| universal-sentence-encoder-multilingual-3: | |
| link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-3 | |
| seq_len: 512 | |
| size: null | |
| dim: 512 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| universal-sentence-encoder-multilingual-large-3: | |
| link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-large-3 | |
| seq_len: 512 | |
| size: null | |
| dim: 512 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| unsup-simcse-bert-base-uncased: | |
| link: https://huggingface.co/princeton-nlp/unsup-simcse-bert-base-uncased | |
| seq_len: 512 | |
| size: 110 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| use-cmlm-multilingual: | |
| link: https://huggingface.co/sentence-transformers/use-cmlm-multilingual | |
| seq_len: 512 | |
| size: 472 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| voyage-2: | |
| link: https://docs.voyageai.com/embeddings/ | |
| seq_len: 1024 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| voyage-code-2: | |
| link: https://docs.voyageai.com/embeddings/ | |
| seq_len: 16000 | |
| size: null | |
| dim: 1536 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| voyage-large-2-instruct: | |
| link: https://docs.voyageai.com/embeddings/ | |
| seq_len: 16000 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: false | |
| voyage-law-2: | |
| link: https://docs.voyageai.com/embeddings/ | |
| seq_len: 4000 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| voyage-lite-01-instruct: | |
| link: https://docs.voyageai.com/embeddings/ | |
| seq_len: 4000 | |
| size: null | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| voyage-lite-02-instruct: | |
| link: https://docs.voyageai.com/embeddings/ | |
| seq_len: 4000 | |
| size: 1220 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: true | |
| is_sentence_transformers_compatible: false | |
| xlm-roberta-base: | |
| link: https://huggingface.co/xlm-roberta-base | |
| seq_len: 514 | |
| size: 279 | |
| dim: 768 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| xlm-roberta-large: | |
| link: https://huggingface.co/xlm-roberta-large | |
| seq_len: 514 | |
| size: 560 | |
| dim: 1024 | |
| is_external: true | |
| is_proprietary: false | |
| is_sentence_transformers_compatible: true | |
| models_to_skip: | |
| - michaelfeil/ct2fast-e5-large-v2 | |
| - McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse | |
| - newsrx/instructor-xl | |
| - sionic-ai/sionic-ai-v1 | |
| - lsf1000/bge-evaluation | |
| - Intel/bge-small-en-v1.5-sst2 | |
| - newsrx/instructor-xl-newsrx | |
| - McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse | |
| - McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse | |
| - davidpeer/gte-small | |
| - goldenrooster/multilingual-e5-large | |
| - kozistr/fused-large-en | |
| - mixamrepijey/instructor-small | |
| - McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised | |
| - DecisionOptimizationSystem/DeepFeatEmbeddingLargeContext | |
| - Intel/bge-base-en-v1.5-sst2-int8-dynamic | |
| - morgendigital/multilingual-e5-large-quantized | |
| - BAAI/bge-small-en | |
| - ggrn/e5-small-v2 | |
| - vectoriseai/gte-small | |
| - giulio98/placeholder | |
| - odunola/UAE-Large-VI | |
| - vectoriseai/e5-large-v2 | |
| - gruber/e5-small-v2-ggml | |
| - Severian/nomic | |
| - arcdev/e5-mistral-7b-instruct | |
| - mlx-community/multilingual-e5-base-mlx | |
| - michaelfeil/ct2fast-bge-base-en-v1.5 | |
| - Intel/bge-small-en-v1.5-sst2-int8-static | |
| - jncraton/stella-base-en-v2-ct2-int8 | |
| - vectoriseai/multilingual-e5-large | |
| - rlsChapters/Chapters-SFR-Embedding-Mistral | |
| - arcdev/SFR-Embedding-Mistral | |
| - McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised | |
| - McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised | |
| - vectoriseai/gte-base | |
| - mixamrepijey/instructor-models | |
| - GovCompete/e5-large-v2 | |
| - ef-zulla/e5-multi-sml-torch | |
| - khoa-klaytn/bge-small-en-v1.5-angle | |
| - krilecy/e5-mistral-7b-instruct | |
| - vectoriseai/bge-base-en-v1.5 | |
| - vectoriseai/instructor-base | |
| - jingyeom/korean_embedding_model | |
| - rizki/bgr-tf | |
| - barisaydin/bge-base-en | |
| - jamesgpt1/zzz | |
| - Malmuk1/e5-large-v2_Sharded | |
| - vectoriseai/ember-v1 | |
| - Consensus/instructor-base | |
| - barisaydin/bge-small-en | |
| - barisaydin/gte-base | |
| - woody72/multilingual-e5-base | |
| - Einas/einas_ashkar | |
| - michaelfeil/ct2fast-bge-large-en-v1.5 | |
| - vectoriseai/bge-small-en-v1.5 | |
| - iampanda/Test | |
| - cherubhao/yogamodel | |
| - ieasybooks/multilingual-e5-large-onnx | |
| - jncraton/e5-small-v2-ct2-int8 | |
| - radames/e5-large | |
| - khoa-klaytn/bge-base-en-v1.5-angle | |
| - Intel/bge-base-en-v1.5-sst2-int8-static | |
| - vectoriseai/e5-large | |
| - TitanML/jina-v2-base-en-embed | |
| - Koat/gte-tiny | |
| - binqiangliu/EmbeddingModlebgelargeENv1.5 | |
| - beademiguelperez/sentence-transformers-multilingual-e5-small | |
| - sionic-ai/sionic-ai-v2 | |
| - jamesdborin/jina-v2-base-en-embed | |
| - maiyad/multilingual-e5-small | |
| - dmlls/all-mpnet-base-v2 | |
| - odunola/e5-base-v2 | |
| - vectoriseai/bge-large-en-v1.5 | |
| - vectoriseai/bge-small-en | |
| - karrar-alwaili/UAE-Large-V1 | |
| - t12e/instructor-base | |
| - Frazic/udever-bloom-3b-sentence | |
| - Geolumina/instructor-xl | |
| - hsikchi/dump | |
| - recipe/embeddings | |
| - michaelfeil/ct2fast-bge-small-en-v1.5 | |
| - ildodeltaRule/multilingual-e5-large | |
| - shubham-bgi/UAE-Large | |
| - BAAI/bge-large-en | |
| - michaelfeil/ct2fast-e5-small-v2 | |
| - cgldo/semanticClone | |
| - barisaydin/gte-small | |
| - aident-ai/bge-base-en-onnx | |
| - jamesgpt1/english-large-v1 | |
| - michaelfeil/ct2fast-e5-small | |
| - baseplate/instructor-large-1 | |
| - newsrx/instructor-large | |
| - Narsil/bge-base-en | |
| - michaelfeil/ct2fast-e5-large | |
| - mlx-community/multilingual-e5-small-mlx | |
| - lightbird-ai/nomic | |
| - MaziyarPanahi/GritLM-8x7B-GGUF | |
| - newsrx/instructor-large-newsrx | |
| - dhairya0907/thenlper-get-large | |
| - barisaydin/bge-large-en | |
| - jncraton/bge-small-en-ct2-int8 | |
| - retrainai/instructor-xl | |
| - BAAI/bge-base-en | |
| - gentlebowl/instructor-large-safetensors | |
| - d0rj/e5-large-en-ru | |
| - atian-chapters/Chapters-SFR-Embedding-Mistral | |
| - Intel/bge-base-en-v1.5-sts-int8-static | |
| - Intel/bge-base-en-v1.5-sts-int8-dynamic | |
| - jncraton/GIST-small-Embedding-v0-ct2-int8 | |
| - jncraton/gte-tiny-ct2-int8 | |
| - d0rj/e5-small-en-ru | |
| - vectoriseai/e5-small-v2 | |
| - SmartComponents/bge-micro-v2 | |
| - michaelfeil/ct2fast-gte-base | |
| - vectoriseai/e5-base-v2 | |
| - Intel/bge-base-en-v1.5-sst2 | |
| - McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised | |
| - Research2NLP/electrical_stella | |
| - weakit-v/bge-base-en-v1.5-onnx | |
| - GovCompete/instructor-xl | |
| - barisaydin/text2vec-base-multilingual | |
| - Intel/bge-small-en-v1.5-sst2-int8-dynamic | |
| - jncraton/gte-small-ct2-int8 | |
| - d0rj/e5-base-en-ru | |
| - barisaydin/gte-large | |
| - fresha/e5-large-v2-endpoint | |
| - vectoriseai/instructor-large | |
| - Severian/embed | |
| - vectoriseai/e5-base | |
| - mlx-community/multilingual-e5-large-mlx | |
| - vectoriseai/gte-large | |
| - anttip/ct2fast-e5-small-v2-hfie | |
| - michaelfeil/ct2fast-gte-large | |
| - gizmo-ai/Cohere-embed-multilingual-v3.0 | |
| - McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse | |
| - Kenknight1999/tungdd7_ft_e5 | |
| - joteqwork/new_gsev0 | |
| - vantagediscovery/jina-embeddings-v2-base-en | |
| - vantagediscovery/nomic-embed-text-v1 | |
| - vantagediscovery/nomic-embed-text-v1.5 | |
| - srikanthmalla/hkunlp-instructor-xl | |
| - afrideva/GIST-all-MiniLM-L6-v2-GGUF | |
| - nadeem1362/mxbai-embed-large-v1-Q4_K_M-GGUF | |
| - agier9/gte-Qwen1.5-7B-instruct-Q5_K_M-GGUF | |
| cross_encoders: | |
| - FollowIR-7B | |
| - flan-t5-base | |
| - flan-t5-large | |
| - monobert-large-msmarco | |
| - monot5-3b-msmarco-10k | |
| - monot5-base-msmarco-10k | |
| - llama-2-7b-chat | |
| - mistral-7b-instruct-v0.2 | |
| - tart-full-flan-t5-xl |