1,011 models · refreshed nightly
Sentence similarity models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | all-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 257.8 M | from 0.6 GB |
| 02 | paraphrase-multilingual-MiniLM-L12-v2 | 120 M | 512 | ✓ apache-2.0 | 59.4 M | from 1.0 GB |
| 03 | bge-m3 | — | 8 K | ✓ mit | 35.0 M | — |
| 04 | all-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 25.2 M | from 1.0 GB |
| 05 | nomic-embed-text-v1.5 | 140 M | 2 K | ✓ apache-2.0 | 15.7 M | from 1.1 GB |
| 06 | multilingual-e5-small | 120 M | 512 | ✓ mit | 15.6 M | from 1.0 GB |
| 07 | paraphrase-multilingual-mpnet-base-v2 | 280 M | 512 | ✓ apache-2.0 | 11.5 M | from 1.8 GB |
| 08 | multilingual-e5-base | 280 M | 512 | ✓ mit | 7.2 M | from 1.8 GB |
| 09 | nomic-embed-text-v1 | 140 M | 8 K | ✓ apache-2.0 | 5.1 M | from 1.1 GB |
| 10 | all-MiniLM-L12-v2 | 30 M | 512 | ✓ apache-2.0 | 3.5 M | from 0.7 GB |
| 11 | paraphrase-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 2.8 M | from 0.6 GB |
| 12 | paraphrase-MiniLM-L3-v2 | 20 M | 512 | ✓ apache-2.0 | 2.6 M | from 0.6 GB |
| 13 | e5-large-v2 | 340 M | 512 | ✓ mit | 2.6 M | from 2.0 GB |
| 14 | snowflake-arctic-embed-xs | 20 M | 512 | unknown | 2.5 M | from 0.6 GB |
| 15 | Qwen3-VL-Embedding-8B | 8.1 B | — | ✓ apache-2.0 | 2.4 M | from 19.6 GB |
| 16 | all-distilroberta-v1 | 80 M | 512 | ✓ apache-2.0 | 2.3 M | from 0.9 GB |
| 17 | embeddinggemma-300m | 300 M | — | ⚠ gemma | 2.1 M | from 1.9 GB |
| 18 | multi-qa-mpnet-base-dot-v1 | 110 M | 512 | unknown | 1.9 M | from 1.0 GB |
| 19 | bge-base-en-v1.5-course-recommender-v5 | 110 M | 512 | unknown | 1.8 M | from 1.0 GB |
| 20 | ko-sroberta-multitask | 110 M | 512 | unknown | 1.8 M | from 1.0 GB |
| 21 | stsb-bert-tiny-safetensors | 0 M | 512 | unknown | 1.7 M | from 0.5 GB |
| 22 | gte-large-en-v1.5 | 430 M | 8 K | ✓ apache-2.0 | 1.7 M | from 2.5 GB |
| 23 | paraphrase-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 1.6 M | from 1.0 GB |
| 24 | nomic-embed-text-v2-moe | 480 M | — | ✓ apache-2.0 | 1.5 M | from 2.7 GB |
| 25 | snowflake-arctic-embed-l-v2.0 | 570 M | 8 K | ✓ apache-2.0 | 1.4 M | from 3.1 GB |
| 26 | Qwen3-VL-Embedding-2B | 2.1 B | — | ✓ apache-2.0 | 1.4 M | from 5.5 GB |
| 27 | gte-multilingual-base | 310 M | 8 K | ✓ apache-2.0 | 1.2 M | from 1.2 GB |
| 28 | gte-Qwen2-1.5B-instruct | 1.8 B | 131 K | ✓ apache-2.0 | 1.2 M | from 8.6 GB |
| 29 | e5-base-v2 | 110 M | 512 | ✓ mit | 1.1 M | from 1.0 GB |
| 30 | bge-micro-v2 | 20 M | 512 | ✓ mit | 1.1 M | from 0.5 GB |
| 31 | all-MiniLM-L6-v2-onnx | — | 512 | ✓ apache-2.0 | 1.1 M | — |
| 32 | all-roberta-large-v1 | 360 M | 512 | ✓ apache-2.0 | 1.1 M | from 2.1 GB |
| 33 | distiluse-base-multilingual-cased-v2 | 130 M | 512 | ✓ apache-2.0 | 1.1 M | from 1.1 GB |
| 34 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.0 M | from 1.1 GB |
| 35 | e5-base | 110 M | 512 | ✓ mit | 990 K | from 1.0 GB |
| 36 | bm25 | — | — | ✓ apache-2.0 | 977 K | — |
| 37 | gte-large | 340 M | 512 | ✓ mit | 897 K | from 1.3 GB |
| 38 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 882 K | from 0.6 GB |
| 39 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 877 K | from 1.0 GB |
| 40 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 824 K | from 1.0 GB |
| 41 | gte-small | 30 M | 512 | ✓ mit | 823 K | from 0.6 GB |
| 42 | bge-small-en-v1.5-onnx-Q | — | 512 | ✓ apache-2.0 | 818 K | — |
| 43 | KR-SBERT-V40K-klueNLI-augSTS | — | 512 | unknown | 810 K | — |
| 44 | LaBSE | 470 M | 512 | ✓ apache-2.0 | 764 K | from 2.6 GB |
| 45 | e5-small-v2 | 30 M | 512 | ✓ mit | 739 K | from 0.7 GB |
| 46 | ruri-v3-310m | 310 M | 8 K | ✓ apache-2.0 | 695 K | from 1.9 GB |
| 47 | snowflake-arctic-embed-s | 30 M | 512 | ✓ apache-2.0 | 584 K | from 0.7 GB |
| 48 | msmarco-bert-base-dot-v5 | 110 M | 512 | unknown | 557 K | from 1.0 GB |
| 49 | gte-base | 110 M | 512 | ✓ mit | 541 K | from 0.8 GB |
| 50 | bert-base-turkish-cased-mean-nli-stsb-tr | 110 M | 512 | ✓ apache-2.0 | 495 K | from 1.0 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.