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model_meta: | |
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 | |
uses_instruct: 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 | |
uses_instruct: false | |
Cohere-embed-english-v3.0-instruct: | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
GritLM-7B-noinstruct: | |
link: https://huggingface.co/GritLM/GritLM-7B | |
seq_len: 4096 | |
size: 7240 | |
is_external: true | |
is_propietary: false | |
is_sentence_transformer_compatible: false | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: false | |
Linq-Embed-Mistral: | |
link: https://huggingface.co/Linq-AI-Research/Linq-Embed-Mistral | |
seq_len: 32768 | |
size: 7111 | |
dim: 4096 | |
is_external: false | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: true | |
NV-Embed-v1: | |
link: https://huggingface.co/nvidia/NV-Embed-v1 | |
seq_len: 32768 | |
size: 7851 | |
dim: 4096 | |
is_external: false | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: true | |
NV-Retriever-v1: | |
link: https://huggingface.co/nvidia/NV-Retriever-v1 | |
seq_len: 512 | |
size: 7111 | |
dim: 4096 | |
is_external: false | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: 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 | |
uses_instruct: false | |
SFR-Embedding-Mistral: | |
link: https://huggingface.co/Salesforce/SFR-Embedding-Mistral | |
seq_len: 32768 | |
size: 7111 | |
dim: 4096 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: true | |
SFR-Embedding-2_R: | |
link: https://huggingface.co/Salesforce/SFR-Embedding-2_R | |
seq_len: 32768 | |
size: 7111 | |
dim: 4096 | |
is_external: false | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: true | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
all-MiniLM-L6-v2-instruct: | |
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 | |
uses_instruct: 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 | |
uses_instruct: false | |
all-mpnet-base-v2-instruct: | |
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 | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
bge-base-en-v1.5: | |
link: https://huggingface.co/BAAI/bge-base-en-v1.5 | |
seq_len: 512 | |
size: 438 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: false | |
bge-base-en-v1.5-instruct: | |
link: https://huggingface.co/BAAI/bge-base-en-v1.5 | |
seq_len: 512 | |
size: 438 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: 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 | |
uses_instruct: false | |
bge-en-icl: | |
link: https://huggingface.co/BAAI/bge-en-icl | |
seq_len: 32768 | |
size: 7110 | |
dim: 4096 | |
is_external: false | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: true | |
bge-multilingual-gemma2: | |
link: https://huggingface.co/BAAI/bge-multilingual-gemma2 | |
seq_len: 8192 | |
size: 9240 | |
dim: 3584 | |
is_external: false | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: true | |
bge-large-en-v1.5: | |
link: https://huggingface.co/BAAI/bge-large-en-v1.5 | |
seq_len: 512 | |
size: 1340 | |
dim: 1024 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: false | |
bge-large-en-v1.5-instruct: | |
link: https://huggingface.co/BAAI/bge-large-en-v1.5 | |
seq_len: 512 | |
size: 1340 | |
dim: 1024 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: true | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
bge-m3: | |
link: https://huggingface.co/BAAI/bge-m3 | |
seq_len: 8192 | |
size: 567 | |
dim: 1024 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: false | |
bge-m3-instruct: | |
link: https://huggingface.co/BAAI/bge-m3 | |
seq_len: 8192 | |
size: 567 | |
dim: 1024 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: true | |
bge-small-en-v1.5: | |
link: https://huggingface.co/BAAI/bge-small-en-v1.5 | |
seq_len: 512 | |
size: 24 | |
dim: 512 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
bge-small-en-v1.5-instruct: | |
link: https://huggingface.co/BAAI/bge-small-en-v1.5 | |
seq_len: 512 | |
size: 24 | |
dim: 512 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: 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 | |
uses_instruct: false | |
bm25: | |
link: https://en.wikipedia.org/wiki/Okapi_BM25 | |
size: 0 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: false | |
bm25s: | |
link: https://github.com/xhluca/bm25s | |
size: 0 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
contriever: | |
link: https://huggingface.co/facebook/contriever | |
seq_len: 512 | |
size: 438 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: false | |
contriever-instruct: | |
link: https://huggingface.co/facebook/contriever | |
seq_len: 512 | |
size: 438 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
dragon-plus: | |
link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon | |
seq_len: 512 | |
size: 438 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: false | |
dragon-plus-instruct: | |
link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon | |
seq_len: 512 | |
size: 438 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: true | |
e5-base-4k: | |
link: https://huggingface.co/dwzhu/e5-base-4k | |
seq_len: 512 | |
size: 110 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: true | |
e5-mistral-7b-instruct-noinstruct: | |
link: https://huggingface.co/intfloat/e5-mistral-7b-instruct-noinstruct | |
seq_len: 32768 | |
size: 7111 | |
dim: 4096 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
elser-v2: | |
link: https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html | |
seq_len: 512 | |
size: 110 | |
dim: 30522 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: true | |
gte-Qwen2-1.5B-instruct: | |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct | |
seq_len: 32768 | |
size: 1780 | |
dim: 1536 | |
is_external: false | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: true | |
gte-Qwen2-7B-instruct: | |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct | |
seq_len: 32768 | |
size: 7613 | |
dim: 3584 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: true | |
instructor-large: | |
link: https://huggingface.co/hkunlp/instructor-large | |
seq_len: 512 | |
size: 335 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: true | |
instructor-xl: | |
link: https://huggingface.co/hkunlp/instructor-xl | |
seq_len: 512 | |
size: 1241 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: true | |
jina-embeddings-v2-base-en: | |
link: https://huggingface.co/jinaai/jina-embeddings-v2-base-en | |
seq_len: 8192 | |
size: 275 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
nomic-embed-text-v1: | |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1 | |
seq_len: 8192 | |
size: 547 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
stella_en_1.5B_v5: | |
link: https://huggingface.co/dunzhang/stella_en_1.5B_v5 | |
seq_len: 512 | |
size: 1500 | |
dim: 8192 | |
is_external: false | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: true | |
stella_en_400M_v5: | |
link: https://huggingface.co/dunzhang/stella_en_400M_v5 | |
seq_len: 512 | |
size: 400 | |
dim: 8192 | |
is_external: false | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
text-embedding-3-large-instruct: | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: 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 | |
uses_instruct: false | |
text-embedding-3-small-instruct: | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: false | |
text-embedding-ada-002-instruct: | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
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 | |
uses_instruct: false | |
text2vec-base-multilingual: | |
link: null | |
seq_len: null | |
size: null | |
dim: null | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: false | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
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 | |
uses_instruct: 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 | |
uses_instruct: 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 | |
uses_instruct: true | |
voyage-law-2: | |
link: https://docs.voyageai.com/embeddings/ | |
seq_len: 16000 | |
size: null | |
dim: 1024 | |
is_external: true | |
is_proprietary: true | |
is_sentence_transformers_compatible: false | |
uses_instruct: 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 | |
uses_instruct: true | |
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 | |
uses_instruct: true | |
voyage-multilingual-2: | |
link: https://docs.voyageai.com/embeddings/ | |
seq_len: 32000 | |
size: null | |
dim: 1024 | |
is_external: true | |
is_proprietary: true | |
is_sentence_transformers_compatible: false | |
uses_instruct: 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 | |
uses_instruct: false | |
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 | |
uses_instruct: false | |
rubert-tiny: | |
link: https://huggingface.co/cointegrated/rubert-tiny | |
seq_len: 514 | |
size: 12 | |
dim: 512 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
rubert-tiny2: | |
link: https://huggingface.co/cointegrated/rubert-tiny2 | |
seq_len: 514 | |
size: 29 | |
dim: 2048 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
sbert_large_mt_nlu_ru: | |
link: https://huggingface.co/ai-forever/sbert_large_mt_nlu_ru | |
seq_len: 514 | |
size: 427 | |
dim: 1024 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
sbert_large_nlu_ru: | |
link: https://huggingface.co/ai-forever/sbert_large_nlu_ru | |
seq_len: 512 | |
size: 427 | |
dim: 1024 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
USER-base: | |
link: https://huggingface.co/deepvk/USER-base | |
seq_len: 512 | |
size: 124 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
USER-bge-m3: | |
link: https://huggingface.co/deepvk/USER-bge-m3 | |
seq_len: 8192 | |
size: 359 | |
dim: 1024 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
deberta-v1-base: | |
link: https://huggingface.co/deepvk/deberta-v1-base | |
seq_len: 512 | |
size: 124 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
rubert-tiny-turbo: | |
link: https://huggingface.co/sergeyzh/rubert-tiny-turbo | |
seq_len: 2048 | |
size: 29 | |
dim: 312 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
LaBSE-ru-turbo: | |
link: https://huggingface.co/sergeyzh/LaBSE-ru-turbo | |
seq_len: 512 | |
size: 128 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
distilrubert-small-cased-conversational: | |
link: https://huggingface.co/DeepPavlov/distilrubert-small-cased-conversational | |
seq_len: 512 | |
size: 106 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
rubert-base-cased: | |
link: https://huggingface.co/DeepPavlov/rubert-base-cased | |
seq_len: 512 | |
size: 180 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
rubert-base-cased-sentence: | |
link: https://huggingface.co/DeepPavlov/rubert-base-cased-sentence | |
seq_len: 512 | |
size: 180 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
LaBSE-en-ru: | |
link: https://huggingface.co/cointegrated/LaBSE-en-ru | |
seq_len: 512 | |
size: 129 | |
dim: 768 | |
is_external: true | |
is_proprietary: false | |
is_sentence_transformers_compatible: true | |
uses_instruct: false | |
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 | |
- ekorman-strive/bge-large-en-v1.5 | |
- raghavlight/SE_v1 | |
- liddlefish/privacyembeddingv2_bge_small | |
- ahmet1338/finetuned_embedder | |
- radia/snowflake-arctic-embed-l-Q4_K_M-GGUF | |
- GregorBiswanger/GritLM-7B-Q4_K_M-GGUF | |
- powermove72/GritLM-7B-Q4_K_M-GGUF | |
- sunzx0810/gte-Qwen2-7B-instruct-Q5_K_M-GGUF | |
- nazimali/gte-Qwen2-7B-instruct-Q6_K-GGUF | |
- nazimali/gte-Qwen2-7B-instruct-Q6_K-GGUF | |
- fishbone64/gte-Qwen2-7B-instruct-Q8_0-GGUF | |
- tobchef/gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF | |
- liddlefish/privacy_embedding_rag | |
- liddlefish/privacy_embedding_rag_10k_tmp | |
- liddlefish/privacy_embedding_bge_small_synthetic | |
- mxs980/gte-Qwen2-1.5B-instruct-Q8_0-GGUF | |
- leonn71/gte-Qwen2-1.5B-instruct-Q6_K-GGUF | |
- niancheng/gte-Qwen2-7B-instruct-Q4_K_M-GGUF | |
- niancheng/gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF | |
- cleatherbury/gte-Qwen2-7B-instruct-Q5_K_M-GGUF | |
- T3LS/stella-mrl-large-zh-v3.5-1792d-1024 | |
- mxs980/b1ade-embed-Q8_0-GGUF | |
- chihlunLee/NoInstruct-small-Embedding-v0-Q4_0-GGUF | |
- bcastle/snowflake-arctic-embed-l-Q8_0-GGUF | |
- niancheng/gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF | |
- brtaydin/gte-Qwen2-7B-instruct-Q5_K_M-GGUF | |
- yishan-wang/snowflake-arctic-embed-s-Q8_0-GGUF | |
- Pekarnick/e5-large-v2-Q4_K_M-GGUF | |
- agier9/UAE-Large-V1-Q5_K_S-GGUF | |
- archit28/bge-large-en-v1.5-Q4_K_S-GGUF | |
- dimcha/mxbai-embed-large-v1-Q4_K_M-GGUF | |
- djuna/jina-embeddings-v2-base-en-Q5_K_M-GGUF | |
- djuna/jina-embeddings-v2-small-en-Q5_K_M-GGUF | |
- djuna/stella-base-en-v2-Q5_K_M-GGUF | |
- huoxu/bge-large-en-v1.5-Q8_0-GGUF | |
- itod/UAE-Large-V1-Q8_0-GGUF | |
- corto-ai/nomic-embed-text-v1 | |
- Intel/neural-embedding-v1 | |
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 | |