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e5 intfloat

Embeddings 1 members 459 derivatives on the Hub Last verified 2026-10-25 RSS

finetune: 177quantized: 276adapter: 2merge: 4

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# Model Org Role Params Band MoE License ContextProviders Price from Likes Likes 7d Downloads 30d Modified
20 multilingual-e5-base intfloat Original model 278M S dense MIT 5141 — 415 +5 5.6M 2026-04-02

Variants 150 shown of 459

Quantizations, fine-tunes, merges, and adapters of any member, ranked by downloads + likes. Filter by relation, quant family, or size band.

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150 rows
Variant Of Relation Quant Params Band License Author Likes Downloads
djovak/embedic-base intfloat/multilingual-e5-base finetune — 278M S mit djovak 2 2.3M
contextboxai/halong_embedding intfloat/multilingual-e5-base finetune — 278M S apache-2.0 contextboxai 39 976.1k
upskyy/e5-base-korean intfloat/multilingual-e5-base finetune — 278M S mit upskyy 3 164.8k
Xenova/multilingual-e5-base intfloat/multilingual-e5-base quantized — — — — Xenova 3 163k
Metric-AI/armenian-text-embeddings-1 intfloat/multilingual-e5-base finetune — 278M S — Metric-AI 21 89.2k
alunadiderot/setfit-e5-base-category-classifier_v2 intfloat/multilingual-e5-base finetune — 278M S — alunadiderot 2 63.4k
BalyasnyAI/multilingual-e5-base intfloat/multilingual-e5-base finetune — 278M S apache-2.0 BalyasnyAI 3 13.5k
lapa-llm/fineweb-mixtral-edu-score intfloat/multilingual-e5-base finetune — 278M S mit lapa-llm 0 12.4k
lapa-llm/alignment-score-model intfloat/multilingual-e5-base finetune — 278M S mit lapa-llm 0 12.3k
lapa-llm/fineweb-nemotron-edu-score intfloat/multilingual-e5-base finetune — 278M S mit lapa-llm 0 12.2k
lapa-llm/manipulative-score-model intfloat/multilingual-e5-base finetune — 278M S mit lapa-llm 2 12k
lapa-llm/gec-score-model intfloat/multilingual-e5-base finetune — 278M S mit lapa-llm 0 12.1k
lapa-llm/fasttext-quality-score intfloat/multilingual-e5-base finetune — 278M S mit lapa-llm 0 12.1k
KarBik/legal-french-matroshka intfloat/multilingual-e5-base finetune — 278M S — KarBik 0 6.6k
dinab/multilingual-e5-base-Q4_K_M-GGUF intfloat/multilingual-e5-base quantized GGUF — — mit dinab 0 6.3k
mjwong/multilingual-e5-base-xnli intfloat/multilingual-e5-base finetune — 278M S mit mjwong 1 5.8k
antoinelouis/french-me5-base intfloat/multilingual-e5-base quantized — 115M S mit antoinelouis 0 5.4k
groonga/multilingual-e5-base-Q4_K_M-GGUF intfloat/multilingual-e5-base quantized GGUF — — mit groonga 0 4.7k
mjwong/multilingual-e5-base-xnli-anli intfloat/multilingual-e5-base finetune — 278M S cc-by-nc-4.0 mjwong 0 4.3k
bqbbao6/vietnamese-legal-embedding intfloat/multilingual-e5-base finetune — 278M S — bqbbao6 0 4.1k
louisbrulenaudet/lemone-router-l intfloat/multilingual-e5-base finetune — 560M S apache-2.0 louisbrulenaudet 0 3.3k
Metric-AI/armenian-text-embeddings-2-base intfloat/multilingual-e5-base finetune — 278M S mit Metric-AI 4 2.9k
Pustekhan-ITB/indoedu-e5-base intfloat/multilingual-e5-base quantized GGUF 278M S — Pustekhan-ITB 0 2.8k
Nurlykhan/kazembed-v5 intfloat/multilingual-e5-base finetune — 278M S apache-2.0 Nurlykhan 2 2.4k
cstr/multilingual-e5-base-GGUF intfloat/multilingual-e5-base quantized GGUF — — mit cstr 0 2.1k
bachngo/int-e5-base-5tv5 intfloat/multilingual-e5-base finetune — 278M S — bachngo 0 1.9k
dinab/multilingual-e5-base-Q8_0-GGUF intfloat/multilingual-e5-base quantized Q8_0 — — mit dinab 2 1.7k
novelcore/aristotle intfloat/multilingual-e5-base finetune — 278M S apache-2.0 novelcore 0 1.6k
ipsnan/keywordsextraction intfloat/multilingual-e5-base finetune — 278M S mit ipsnan 0 1.4k
antoinelouis/crossencoder-me5-base-mmarcoFR intfloat/multilingual-e5-base finetune — 278M S mit antoinelouis 1 1.1k
bqbbao6/VN_legal_embedding_512 intfloat/multilingual-e5-base finetune — 278M S — bqbbao6 0 1.1k
Funghang/e5-nepali-qa-ir intfloat/multilingual-e5-base finetune — 278M S cc-by-nc-4.0 Funghang 3 960
Tamil-ai/tamil-embed-base intfloat/multilingual-e5-base finetune — 278M S apache-2.0 Tamil-ai 0 1.1k
tatsuyaaaaaaa/multilingual-e5-base-gguf intfloat/multilingual-e5-base quantized gguf — — mit tatsuyaaaaaaa 0 1k
onnx-community/multilingual-e5-base-ONNX intfloat/multilingual-e5-base quantized — — — mit onnx-community 0 1k
thuan220401/halong_embedding intfloat/multilingual-e5-base finetune — 278M S apache-2.0 thuan220401 0 953
oridror/e5-base-hebrew-qa-v2-myd-r1 intfloat/multilingual-e5-base finetune — 278M S apache-2.0 oridror 0 789
bqbbao6/vietnamese-legal-embedding-wsgm intfloat/multilingual-e5-base finetune — 278M S — bqbbao6 0 782
novelcore/Orpheas intfloat/multilingual-e5-base finetune — 278M S apache-2.0 novelcore 0 777
isy-thl/multilingual-e5-base-learning-outcome-skill-tuned intfloat/multilingual-e5-base finetune — 278M S — isy-thl 0 738
louisbrulenaudet/lemone-embed-m intfloat/multilingual-e5-base quantized — 278M S apache-2.0 louisbrulenaudet 1 664
meandyou200175/e5-finetune-demo intfloat/multilingual-e5-base finetune — 278M S — meandyou200175 0 706
htdht/e5_base_finetuned_5000 intfloat/multilingual-e5-base finetune — 278M S — htdht 0 694
81melody/algerianME5 intfloat/multilingual-e5-base finetune — 278M S mit 81melody 3 528
FrameByFrame/korean-pii-e5-base intfloat/multilingual-e5-base finetune — 277M S mit FrameByFrame 1 613
fredoline005/ajan-embed-q intfloat/multilingual-e5-base finetune — 278M S apache-2.0 fredoline005 0 642
louisbrulenaudet/lemone-router-s intfloat/multilingual-e5-base finetune — 118M S apache-2.0 louisbrulenaudet 5 387
clips/e5-base-trm intfloat/multilingual-e5-base finetune — 124M S mit clips 0 611
gentilrenard/multi-e5-base_lmd-comments_v1 intfloat/multilingual-e5-base finetune — 278M S mit gentilrenard 0 584
louisbrulenaudet/lemone-embed-m-boost intfloat/multilingual-e5-base finetune — 278M S apache-2.0 louisbrulenaudet 0 577
Singaraj/morisien-embed intfloat/multilingual-e5-base quantized — 278M S mit Singaraj 0 562
dilovancelik/multilingual-e5-base-danish-speeches-finetune intfloat/multilingual-e5-base finetune — 278M S — dilovancelik 0 518
meandyou200175/e5_large_finetune_word intfloat/multilingual-e5-base finetune — 278M S — meandyou200175 1 453
ThanhLe0125/e5-math-ebd intfloat/multilingual-e5-base finetune — 278M S — ThanhLe0125 0 499
ostoveland/test2 intfloat/multilingual-e5-base finetune — — — — ostoveland 0 467
keisuke-miyako/multilingual-e5-base-gguf-q8_0 intfloat/multilingual-e5-base quantized gguf — — — keisuke-miyako 0 467
Hoangy2005/vietnamese-legal-embedder intfloat/multilingual-e5-base finetune — 278M S — Hoangy2005 0 463
anhtuansh/multilingual-e5-base-Matryoshka-5e-11k intfloat/multilingual-e5-base finetune — 278M S — anhtuansh 0 458
Ludo33/e5_General_2026_V2 intfloat/multilingual-e5-base finetune — 278M S mit Ludo33 0 435
smartcat/SRBedding-base-distilled-v1 intfloat/multilingual-e5-base finetune — 278M S — smartcat 1 382
ewideplus/indoedu-e5-base intfloat/multilingual-e5-base finetune — 278M S — ewideplus 0 427
julian-schelb/multilingual-e5-base-emb-lat-intertext-v1 intfloat/multilingual-e5-base finetune — 278M S apache-2.0 julian-schelb 0 427
Misbahuddin/job-title-normalizer-e5-base intfloat/multilingual-e5-base finetune — 278M S mit Misbahuddin 0 426
alphaedge-ai/multilingual-e5-base-epo-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 423
alphaedge-ai/multilingual-e5-base-tat-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 420
IremTRNL/legal-e5-tr intfloat/multilingual-e5-base finetune — 278M S mit IremTRNL 0 420
htdht/e5_finetuned_mnrl_v2 intfloat/multilingual-e5-base finetune — 278M S — htdht 0 420
alphaedge-ai/multilingual-e5-base-hye-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 418
Luong23/e5-finetune-embedding intfloat/multilingual-e5-base finetune — 278M S — Luong23 0 418
htdht/e5_base_finetune_v2 intfloat/multilingual-e5-base finetune — 278M S — htdht 1 363
Adzpro/embedding_e5 intfloat/multilingual-e5-base finetune — 278M S — Adzpro 1 358
alphaedge-ai/multilingual-e5-base-ita-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 406
ostoveland/test13 intfloat/multilingual-e5-base finetune — — — — ostoveland 0 401
selmanbaysan/multilingual-e5-base_contrastive_loss_training intfloat/multilingual-e5-base finetune — 278M S — selmanbaysan 0 396
alphaedge-ai/multilingual-e5-base-yor-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 392
kasys/jmed-me5-v0.1 intfloat/multilingual-e5-base finetune — 278M S llama3.1gemma kasys 0 388
alphaedge-ai/multilingual-e5-base-amh-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 386
kietnt0603/nrk-legal-base intfloat/multilingual-e5-base finetune — 278M S apache-2.0 kietnt0603 0 385
alphaedge-ai/multilingual-e5-base-fas-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 1 334
Renan1997/sentence-transformer intfloat/multilingual-e5-base finetune — 278M S — Renan1997 0 383
alphaedge-ai/multilingual-e5-base-nno-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 382
alphaedge-ai/multilingual-e5-base-smo-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 379
alphaedge-ai/multilingual-e5-base-nob-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 376
alphaedge-ai/multilingual-e5-base-isl-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 375
alphaedge-ai/multilingual-e5-base-rus-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 374
alphaedge-ai/multilingual-e5-base-fra-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 373
alphaedge-ai/multilingual-e5-base-tgk-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 372
alphaedge-ai/multilingual-e5-base-pan-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 371
louisbrulenaudet/lemone-router-m intfloat/multilingual-e5-base finetune — 278M S apache-2.0 louisbrulenaudet 1 320
alphaedge-ai/multilingual-e5-base-amh-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 370
alphaedge-ai/multilingual-e5-base-afr-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 369
alphaedge-ai/multilingual-e5-base-chv-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 369
alphaedge-ai/multilingual-e5-base-glg-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 369
alphaedge-ai/multilingual-e5-base-mya-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 369
trmteb/multilingual-e5-base_contrastive_loss_training_with_large_data_v2 intfloat/multilingual-e5-base finetune — 278M S — trmteb 0 368
alphaedge-ai/multilingual-e5-base-xho-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 368
alphaedge-ai/multilingual-e5-base-eng-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 368
alphaedge-ai/multilingual-e5-base-nld-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 367
alphaedge-ai/multilingual-e5-base-ita-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 367
alphaedge-ai/multilingual-e5-base-uzs-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 367
alphaedge-ai/multilingual-e5-base-khm-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 365
alphaedge-ai/multilingual-e5-base-kir-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 364
alphaedge-ai/multilingual-e5-base-arb-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 362
nicolauduran45/e5-finetuned-entity-linking intfloat/multilingual-e5-base finetune — 278M S — nicolauduran45 1 312
alphaedge-ai/multilingual-e5-base-san-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 362
meandyou200175/e5-finetune intfloat/multilingual-e5-base finetune — 278M S — meandyou200175 0 360
alphaedge-ai/multilingual-e5-base-mlg-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 357
alphaedge-ai/multilingual-e5-base-deu-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 356
alphaedge-ai/multilingual-e5-base-msa-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 356
alphaedge-ai/multilingual-e5-base-tgk-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 353
alphaedge-ai/multilingual-e5-base-tel-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 353
alphaedge-ai/multilingual-e5-base-pms-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 351
nahinfarhan/hadith-retriever-bn-v2 intfloat/multilingual-e5-base finetune — 278M S — nahinfarhan 0 350
alphaedge-ai/multilingual-e5-base-xho-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 349
codersan/multilingual-e5-base-Fa-v3 intfloat/multilingual-e5-base finetune — 278M S — codersan 0 348
alphaedge-ai/multilingual-e5-base-cos-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 348
alphaedge-ai/multilingual-e5-base-deu-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 347
alphaedge-ai/multilingual-e5-base-bul-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 347
alphaedge-ai/multilingual-e5-base-eng-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 347
meet136/gst-legal-embeddings-v1 intfloat/multilingual-e5-base finetune — 278M S — meet136 0 347
alphaedge-ai/multilingual-e5-base-swe-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 346
alphaedge-ai/multilingual-e5-base-bre-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 345
alphaedge-ai/multilingual-e5-base-cos-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 345
alphaedge-ai/multilingual-e5-base-jpn-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 345
alphaedge-ai/multilingual-e5-base-mlt-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 345
alphaedge-ai/multilingual-e5-base-gla-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 345
alphaedge-ai/multilingual-e5-base-kor-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 344
alphaedge-ai/multilingual-e5-base-kur-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 344
alphaedge-ai/multilingual-e5-base-kaz-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 343
anhtuansh/multilingual-e5-base-Matryoshka-1e-200k intfloat/multilingual-e5-base finetune — 278M S — anhtuansh 0 342
alphaedge-ai/multilingual-e5-base-tat-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 342
alphaedge-ai/multilingual-e5-base-hat-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 342
alphaedge-ai/multilingual-e5-base-tha-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 341
alphaedge-ai/multilingual-e5-base-hin-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 341
alphaedge-ai/multilingual-e5-base-est-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 341
JonasGru/lt-e5 intfloat/multilingual-e5-base finetune — 278M S — JonasGru 0 341
alphaedge-ai/multilingual-e5-base-lit-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 340
seongil-dn/e5-base-neg-full-preprocessed intfloat/multilingual-e5-base finetune — 278M S — seongil-dn 1 288
alphaedge-ai/multilingual-e5-base-urd-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 338
alphaedge-ai/multilingual-e5-base-ydd-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 338
alphaedge-ai/multilingual-e5-base-yor-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 338
alphaedge-ai/multilingual-e5-base-ceb-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 338
alphaedge-ai/multilingual-e5-base-jpn-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 338
alphaedge-ai/multilingual-e5-base-urd-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 338
alphaedge-ai/multilingual-e5-base-smo-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 337
alphaedge-ai/multilingual-e5-base-bak-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 337
iddqd21/fine-tuned-e5-semantic-similarity_v2 intfloat/multilingual-e5-base finetune — 278M S — iddqd21 0 336
alphaedge-ai/multilingual-e5-base-fry-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 336
alphaedge-ai/multilingual-e5-base-mya-32768 intfloat/multilingual-e5-base quantized — 111M S mit alphaedge-ai 0 336
alphaedge-ai/multilingual-e5-base-heb-16384 intfloat/multilingual-e5-base quantized — 98.6M S mit alphaedge-ai 0 336

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