|
model_meta: |
|
gte-Qwen2-7B-instruct: |
|
link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct |
|
seq_len: 32768 |
|
size: 7099 |
|
dim: 4096 |
|
is_external: true |
|
is_proprietary: false |
|
is_sentence_transformers_compatible: 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: true |
|
is_proprietary: false |
|
is_sentence_transformers_compatible: true |
|
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-m3: |
|
link: https://huggingface.co/BAAI/bge-m3 |
|
seq_len: 8192 |
|
size: 2270 |
|
dim: 1024 |
|
is_external: true |
|
is_proprietary: false |
|
is_sentence_transformers_compatible: false |
|
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-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 |
|
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 |
|
seq_len: 512 |
|
size: 110 |
|
dim: 30522 |
|
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: 512 |
|
size: 1241 |
|
dim: 768 |
|
is_external: true |
|
is_proprietary: false |
|
is_sentence_transformers_compatible: 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 |
|
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: |
|
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 |
|
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: 16000 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
|