Small Model Hub

3,378 efficient AI models across 7 domains · Charts · API

Domain

All (3,378)Vision (1,615)3D (771)Embedding (428)Multimodal (299)Code (125)Speech (91)Video (49)

Task

All Tasks Image Classification (1,543)3D Object Detection (771)Text Embedding (428)Vision-Language (285)Code Generation (125)Speech Recognition (91)Object Detection (65)Video Understanding (49)UI Understanding (14)Font Identification (7)

Max Size≤10M ≤50M ≤100M ≤500M All

Max VRAM≤512MB ≤1GB ≤2GB ≤4GB ≤8GB All

Score

Raw Context (0-100)

Raw benchmark score — scale varies by task

Showing 207 models

#	Model	Domain	Task	Params ↑	GFLOPs	VRAM	Score	Speed	Arch	Source
1	NeuML/pubmedbert-base-embeddings-1M	Embedding	Text Embedding	1.00M	—	2 MB	——	—	dense	MTEB
2	NeuML/pubmedbert-base-embeddings-500K	Embedding	Text Embedding	1.00M	—	2 MB	——	—	dense	MTEB
3	axiotic/ogma-micro	Embedding	Text Embedding	2.00M	—	9 MB	——	—	dense	MTEB
4	minishlab/potion-base-2M	Embedding	Text Embedding	2.00M	—	7 MB	——	—	dense	MTEB
5	NeuML/pubmedbert-base-embeddings-2M	Embedding	Text Embedding	2.00M	—	7 MB	——	—	dense	MTEB
6	axiotic/ogma-mini	Embedding	Text Embedding	4.00M	—	13 MB	——	—	dense	MTEB
7	minishlab/potion-base-4M	Embedding	Text Embedding	4.00M	—	14 MB	——	—	dense	MTEB
8	cross-encoder/ms-marco-TinyBERT-L2-v2	Embedding	Text Embedding	4.00M	—	17 MB	——	—	cross-encoder	MTEB
9	google/yamnet	Embedding	Text Embedding	4.00M	—	14 MB	——	—	dense	MTEB
10	minishlab/M2V_base_output	Embedding	Text Embedding	8.00M	—	29 MB	——	—	dense	MTEB
11	minishlab/potion-base-8M	Embedding	Text Embedding	8.00M	—	29 MB	——	—	dense	MTEB
12	NeuML/pubmedbert-base-embeddings-8M	Embedding	Text Embedding	8.00M	—	30 MB	——	—	dense	MTEB
13	axiotic/ogma-small	Embedding	Text Embedding	9.00M	—	33 MB	——	—	dense	MTEB
14	cointegrated/rubert-tiny	Embedding	Text Embedding	12.0M	—	45 MB	——	—	dense	MTEB
15	axiotic/ogma-base	Embedding	Text Embedding	13.0M	—	51 MB	——	—	dense	MTEB
16	Mihaiii/Squirtle	Embedding	Text Embedding	16.0M	—	60 MB	——	—	dense	MTEB
17	Mihaiii/Venusaur	Embedding	Text Embedding	16.0M	—	60 MB	——	—	dense	MTEB
18	minishlab/potion-code-16M-v2	Embedding	Text Embedding	16.0M	—	62 MB	——	—	dense	MTEB
19	cross-encoder/ms-marco-MiniLM-L2-v2	Embedding	Text Embedding	16.0M	—	60 MB	——	—	cross-encoder	MTEB
20	RikkaBotan/quantized-stable-static-embedding-fast-retrieval-mrl-en	Embedding	Text Embedding	16.0M	—	8 MB	——	—	dense	MTEB
21	RikkaBotan/stable-static-embedding-fast-retrieval-mrl-en	Embedding	Text Embedding	16.0M	—	60 MB	——	—	dense	MTEB
22	RikkaBotan/stable-static-embedding-fast-retrieval-mrl-en-v2	Embedding	Text Embedding	16.0M	—	60 MB	——	—	dense	MTEB
23	cross-encoder/ettin-reranker-17m-v1	Embedding	Text Embedding	17.0M	—	64 MB	——	—	cross-encoder	MTEB
24	Mihaiii/Bulbasaur	Embedding	Text Embedding	17.0M	—	66 MB	——	—	dense	MTEB
25	Mihaiii/Wartortle	Embedding	Text Embedding	17.0M	—	66 MB	——	—	dense	MTEB
26	Mihaiii/gte-micro	Embedding	Text Embedding	17.0M	—	66 MB	——	—	dense	MTEB
27	mixedbread-ai/mxbai-edge-colbert-v0-17m	Embedding	Text Embedding	17.0M	—	64 MB	——	—	late-interaction	MTEB
28	lightonai/LateOn-Code-edge	Embedding	Text Embedding	17.0M	—	64 MB	——	—	late-interaction	MTEB
29	lightonai/LateOn-Code-edge-pretrain	Embedding	Text Embedding	17.0M	—	64 MB	——	—	late-interaction	MTEB
30	RikkaBotan/quantized-stable-static-embedding-fast-retrieval-mrl-ja	Embedding	Text Embedding	17.0M	—	9 MB	——	—	dense	MTEB
31	RikkaBotan/stable-static-embedding-fast-retrieval-mrl-ja	Embedding	Text Embedding	17.0M	—	64 MB	——	—	dense	MTEB
32	Mihaiii/gte-micro-v4	Embedding	Text Embedding	19.0M	—	73 MB	——	—	dense	MTEB
33	cross-encoder/ms-marco-MiniLM-L4-v2	Embedding	Text Embedding	19.0M	—	73 MB	——	—	cross-encoder	MTEB
34	asapp/sew-d-tiny-100k-ft-ls100h	Embedding	Text Embedding	20.0M	—	92 MB	——	—	dense	MTEB
35	facebook/dinov2-small	Embedding	Text Embedding	22.0M	—	84 MB	——	—	dense	MTEB
36	facebook/dinov3-vits16-pretrain-lvd1689m	Embedding	Text Embedding	22.0M	—	82 MB	——	—	dense	MTEB
37	matthewagi/HeAR-s1.1	Embedding	Text Embedding	22.0M	—	84 MB	——	—	dense	MTEB
38	Snowflake/snowflake-arctic-embed-xs	Embedding	Text Embedding	23.0M	—	86 MB	——	—	dense	MTEB
39	facebook/encodec_24khz	Embedding	Text Embedding	23.0M	—	88 MB	——	—	dense	MTEB
40	geoffsee/auto-g-embed-st	Embedding	Text Embedding	23.0M	—	87 MB	——	—	dense	MTEB
41	MongoDB/mdbr-leaf-ir	Embedding	Text Embedding	23.0M	—	86 MB	——	—	dense	MTEB
42	MongoDB/mdbr-leaf-mt	Embedding	Text Embedding	23.0M	—	86 MB	——	—	dense	MTEB
43	Mihaiii/Ivysaur	Embedding	Text Embedding	23.0M	—	87 MB	——	—	dense	MTEB
44	avsolatorio/GIST-all-MiniLM-L6-v2	Embedding	Text Embedding	23.0M	—	87 MB	——	—	dense	MTEB
45	brahmairesearch/slx-v0.1	Embedding	Text Embedding	23.0M	—	87 MB	——	—	dense	MTEB
46	opensearch-project/opensearch-neural-sparse-encoding-doc-v2-mini	Embedding	Text Embedding	23.0M	—	86 MB	——	—	sparse	MTEB
47	rasgaard/m2v-dfm-large	Embedding	Text Embedding	23.0M	—	87 MB	——	—	dense	MTEB
48	cross-encoder/ms-marco-MiniLM-L6-v2	Embedding	Text Embedding	23.0M	—	87 MB	——	—	cross-encoder	MTEB
49	sentence-transformers/all-MiniLM-L6-v2	Embedding	Text Embedding	23.0M	—	87 MB	——	—	dense	MTEB
50	sentence-transformers/multi-qa-MiniLM-L6-cos-v1	Embedding	Text Embedding	23.0M	—	87 MB	——	—	dense	MTEB
51	mixedbread-ai/mxbai-embed-xsmall-v1	Embedding	Text Embedding	24.0M	—	58 MB	——	—	dense	MTEB
52	moka-ai/m3e-small	Embedding	Text Embedding	24.0M	—	58 MB	——	—	dense	MTEB
53	facebook/dinov3-vits16plus-pretrain-lvd1689m	Embedding	Text Embedding	29.0M	—	109 MB	——	—	dense	MTEB
54	cointegrated/rubert-tiny2	Embedding	Text Embedding	29.0M	—	112 MB	——	—	dense	MTEB
55	sergeyzh/rubert-tiny-turbo	Embedding	Text Embedding	29.0M	—	111 MB	——	—	dense	MTEB
56	thenlper/gte-small-zh	Embedding	Text Embedding	30.0M	—	58 MB	——	—	dense	MTEB
57	ibm-granite/granite-embedding-30m-english	Embedding	Text Embedding	30.0M	—	58 MB	——	—	dense	MTEB
58	sentence-transformers/static-retrieval-mrl-en-v1	Embedding	Text Embedding	31.0M	—	119 MB	——	—	dense	MTEB
59	cross-encoder/ettin-reranker-32m-v1	Embedding	Text Embedding	32.0M	—	122 MB	——	—	cross-encoder	MTEB
60	mixedbread-ai/mxbai-edge-colbert-v0-32m	Embedding	Text Embedding	32.0M	—	122 MB	——	—	late-interaction	MTEB
61	minishlab/potion-base-32M	Embedding	Text Embedding	32.0M	—	123 MB	——	—	dense	MTEB
62	minishlab/potion-retrieval-32M	Embedding	Text Embedding	32.0M	—	123 MB	——	—	dense	MTEB
63	sergeyzh/rubert-mini-frida	Embedding	Text Embedding	32.0M	—	123 MB	——	—	dense	MTEB
64	Snowflake/snowflake-arctic-embed-s	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
65	BAAI/bge-small-en	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
66	BAAI/bge-small-en-v1.5	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
67	BAAI/bge-small-zh	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
68	BAAI/bge-small-zh-v1.5	Embedding	Text Embedding	33.0M	—	91 MB	——	—	dense	MTEB
69	intfloat/e5-small	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
70	intfloat/e5-small-v2	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
71	jinaai/jina-embeddings-v2-small-en	Embedding	Text Embedding	33.0M	—	62 MB	——	—	dense	MTEB
72	ManiacLabs/miniac-embed	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
73	abhinand/MedEmbed-small-v0.1	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
74	avsolatorio/GIST-small-Embedding-v0	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
75	avsolatorio/NoInstruct-small-Embedding-v0	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
76	thenlper/gte-small	Embedding	Text Embedding	33.0M	—	64 MB	——	—	dense	MTEB
77	cross-encoder/ms-marco-MiniLM-L12-v2	Embedding	Text Embedding	33.0M	—	127 MB	——	—	cross-encoder	MTEB
78	sentence-transformers/all-MiniLM-L12-v2	Embedding	Text Embedding	33.0M	—	127 MB	——	—	dense	MTEB
79	deepvk/USER2-small	Embedding	Text Embedding	34.0M	—	131 MB	——	—	dense	MTEB
80	jinaai/jina-embedding-s-en-v1	Embedding	Text Embedding	35.0M	—	134 MB	——	—	dense	MTEB
81	cl-nagoya/ruri-v3-30m	Embedding	Text Embedding	37.0M	—	140 MB	——	—	dense	MTEB
82	exp-models/dragonkue-KoEn-E5-Tiny	Embedding	Text Embedding	38.0M	—	143 MB	——	—	dense	MTEB
83	openai/whisper-tiny	Embedding	Text Embedding	39.0M	—	144 MB	——	—	dense	MTEB
84	clips/e5-small-trm-nl	Embedding	Text Embedding	41.0M	—	78 MB	——	—	dense	MTEB
85	andersborges/model2vecdk	Embedding	Text Embedding	48.0M	—	183 MB	——	—	dense	MTEB
86	ibm-granite/granite-embedding-small-english-r2	Embedding	Text Embedding	48.0M	—	91 MB	——	—	dense	MTEB
87	andersborges/model2vecdk-stem	Embedding	Text Embedding	49.0M	—	185 MB	——	—	dense	MTEB
88	RikkaBotan/quantized-stable-static-embedding-fast-retrieval-mrl-bilingual-ja-en	Embedding	Text Embedding	50.0M	—	25 MB	——	—	dense	MTEB
89	RikkaBotan/stable-static-embedding-fast-retrieval-mrl-bilingual-ja-en	Embedding	Text Embedding	50.0M	—	189 MB	——	—	dense	MTEB
90	BorisTM/starse	Embedding	Text Embedding	62.0M	—	8 MB	——	—	dense	MTEB
91	opensearch-project/opensearch-neural-sparse-encoding-doc-v2-distill	Embedding	Text Embedding	66.0M	—	267 MB	——	—	sparse	MTEB
92	opensearch-project/opensearch-neural-sparse-encoding-doc-v3-distill	Embedding	Text Embedding	66.0M	—	267 MB	——	—	sparse	MTEB
93	prdev/mini-gte	Embedding	Text Embedding	66.0M	—	253 MB	——	—	dense	MTEB
94	cross-encoder/ettin-reranker-68m-v1	Embedding	Text Embedding	68.0M	—	260 MB	——	—	cross-encoder	MTEB
95	dmedhi/PawanEmbd-68M	Embedding	Text Embedding	68.0M	—	260 MB	——	—	dense	MTEB
96	cl-nagoya/ruri-small	Embedding	Text Embedding	68.0M	—	130 MB	——	—	dense	MTEB
97	cl-nagoya/ruri-small-v2	Embedding	Text Embedding	68.0M	—	260 MB	——	—	dense	MTEB
98	nanovdr/NanoVDR-S-Multi	Embedding	Text Embedding	69.0M	—	282 MB	——	—	dense	MTEB
99	cl-nagoya/ruri-v3-70m	Embedding	Text Embedding	70.0M	—	140 MB	——	—	dense	MTEB
100	mixedbread-ai/mxbai-rerank-xsmall-v1	Embedding	Text Embedding	71.0M	—	135 MB	——	—	cross-encoder	MTEB
101	google/vggish	Embedding	Text Embedding	72.0M	—	275 MB	——	—	dense	MTEB
102	DMetaSoul/Dmeta-embedding-zh-small	Embedding	Text Embedding	74.0M	—	283 MB	——	—	dense	MTEB
103	openai/whisper-base	Embedding	Text Embedding	74.0M	—	277 MB	——	—	dense	MTEB
104	codefuse-ai/F2LLM-v2-80M	Embedding	Text Embedding	80.0M	—	305 MB	——	—	dense	MTEB
105	speechbrain/cnn14-esc50	Embedding	Text Embedding	81.0M	—	308 MB	——	—	dense	MTEB
106	facebook/dinov3-vitb16-pretrain-lvd1689m	Embedding	Text Embedding	86.0M	—	327 MB	——	—	dense	MTEB
107	MIT/ast-finetuned-audioset-10-10-0.4593	Embedding	Text Embedding	87.0M	—	330 MB	——	—	dense	MTEB
108	facebook/dinov2-base	Embedding	Text Embedding	87.0M	—	330 MB	——	—	dense	MTEB
109	nyu-visionx/moco-v3-vit-b	Embedding	Text Embedding	87.0M	—	330 MB	——	—	dense	MTEB
110	facebook/data2vec-audio-base-960h	Embedding	Text Embedding	93.0M	—	355 MB	——	—	dense	MTEB
111	nomic-ai/nomic-embed-vision-v1.5	Embedding	Text Embedding	93.0M	—	355 MB	——	—	dense	MTEB
112	microsoft/unispeech-sat-base-100h-libri-ft	Embedding	Text Embedding	94.0M	—	359 MB	——	—	dense	MTEB
113	facebook/hubert-base-ls960	Embedding	Text Embedding	95.0M	—	360 MB	——	—	dense	MTEB
114	facebook/wav2vec2-base	Embedding	Text Embedding	95.0M	—	362 MB	——	—	dense	MTEB
115	facebook/wav2vec2-base-960h	Embedding	Text Embedding	95.0M	—	360 MB	——	—	dense	MTEB
116	microsoft/wavlm-base	Embedding	Text Embedding	95.0M	—	361 MB	——	—	dense	MTEB
117	microsoft/wavlm-base-plus	Embedding	Text Embedding	95.0M	—	361 MB	——	—	dense	MTEB
118	microsoft/wavlm-base-plus-sd	Embedding	Text Embedding	95.0M	—	361 MB	——	—	dense	MTEB
119	microsoft/wavlm-base-plus-sv	Embedding	Text Embedding	95.0M	—	361 MB	——	—	dense	MTEB
120	microsoft/wavlm-base-sd	Embedding	Text Embedding	95.0M	—	361 MB	——	—	dense	MTEB
121	microsoft/wavlm-base-sv	Embedding	Text Embedding	95.0M	—	361 MB	——	—	dense	MTEB
122	ibm-granite/granite-embedding-97m-multilingual-r2	Embedding	Text Embedding	97.0M	—	186 MB	——	—	dense	MTEB
123	Quazim0t0/Byrne-Embed	Embedding	Text Embedding	98.0M	—	327 MB	——	—	dense	MTEB
124	malenia1/ternary-weight-embedding	Embedding	Text Embedding	99.0M	—	158 MB	——	—	dense	MTEB
125	thenlper/gte-base-zh	Embedding	Text Embedding	102.0M	—	195 MB	——	—	dense	MTEB
126	DMetaSoul/sbert-chinese-general-v1	Embedding	Text Embedding	102.0M	—	245 MB	——	—	dense	MTEB
127	minishlab/M2V_base_glove	Embedding	Text Embedding	102.0M	—	391 MB	——	—	dense	MTEB
128	moka-ai/m3e-base	Embedding	Text Embedding	102.0M	—	390 MB	——	—	dense	MTEB
129	sensenova/piccolo-base-zh	Embedding	Text Embedding	102.0M	—	245 MB	——	—	dense	MTEB
130	shibing624/text2vec-base-chinese	Embedding	Text Embedding	102.0M	—	390 MB	——	—	dense	MTEB
131	minishlab/M2V_base_glove_subword	Embedding	Text Embedding	103.0M	—	391 MB	——	—	dense	MTEB
132	infgrad/stella-base-zh-v3-1792d	Embedding	Text Embedding	104.0M	—	250 MB	——	—	dense	MTEB
133	ibm-granite/granite-embedding-107m-multilingual	Embedding	Text Embedding	107.0M	—	204 MB	——	—	dense	MTEB
134	DeepPavlov/distilrubert-small-cased-conversational	Embedding	Text Embedding	107.0M	—	408 MB	——	—	dense	MTEB
135	DeepPavlov/rubert-base-cased-sentence	Embedding	Text Embedding	107.0M	—	408 MB	——	—	dense	MTEB
136	sentence-transformers/static-similarity-mrl-multilingual-v1	Embedding	Text Embedding	108.0M	—	413 MB	——	—	dense	MTEB
137	Snowflake/snowflake-arctic-embed-m	Embedding	Text Embedding	109.0M	—	415 MB	——	—	dense	MTEB
138	Snowflake/snowflake-arctic-embed-m-v1.5	Embedding	Text Embedding	109.0M	—	415 MB	——	—	dense	MTEB
139	BAAI/bge-base-en	Embedding	Text Embedding	109.0M	—	390 MB	——	—	dense	MTEB
140	BAAI/bge-base-en-v1.5	Embedding	Text Embedding	109.0M	—	390 MB	——	—	dense	MTEB
141	BAAI/bge-base-zh	Embedding	Text Embedding	109.0M	—	390 MB	——	—	dense	MTEB
142	BAAI/bge-base-zh-v1.5	Embedding	Text Embedding	109.0M	—	416 MB	——	—	dense	MTEB
143	bisectgroup/BiCA-base	Embedding	Text Embedding	109.0M	—	418 MB	——	—	dense	MTEB
144	manveertamber/cadet-embed-base-v1	Embedding	Text Embedding	109.0M	—	418 MB	——	—	dense	MTEB
145	intfloat/e5-base	Embedding	Text Embedding	109.0M	—	418 MB	——	—	dense	MTEB
146	intfloat/e5-base-v2	Embedding	Text Embedding	109.0M	—	418 MB	——	—	dense	MTEB
147	Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet	Embedding	Text Embedding	109.0M	—	418 MB	——	—	dense	MTEB
148	avsolatorio/GIST-Embedding-v0	Embedding	Text Embedding	109.0M	—	418 MB	——	—	dense	MTEB
149	infgrad/stella-base-en-v2	Embedding	Text Embedding	109.0M	—	262 MB	——	—	dense	MTEB
150	thenlper/gte-base	Embedding	Text Embedding	109.0M	—	209 MB	——	—	dense	MTEB
151	PORTULAN/serafim-100m-portuguese-pt-sentence-encoder	Embedding	Text Embedding	109.0M	—	416 MB	——	—	dense	MTEB
152	PORTULAN/serafim-100m-portuguese-pt-sentence-encoder-ir	Embedding	Text Embedding	109.0M	—	416 MB	——	—	dense	MTEB
153	colbert-ir/colbertv2.0	Embedding	Text Embedding	109.0M	—	418 MB	——	—	late-interaction	MTEB
154	sentence-transformers/all-mpnet-base-v2	Embedding	Text Embedding	109.0M	—	418 MB	——	—	dense	MTEB
155	sentence-transformers/multi-qa-mpnet-base-dot-v1	Embedding	Text Embedding	109.0M	—	418 MB	——	—	dense	MTEB
156	spartan8806/atles-champion-embedding	Embedding	Text Embedding	109.0M	—	420 MB	——	—	dense	MTEB
157	jinaai/jina-embedding-b-en-v1	Embedding	Text Embedding	110.0M	—	420 MB	——	—	dense	MTEB
158	sentence-transformers/gtr-t5-base	Embedding	Text Embedding	110.0M	—	209 MB	——	—	dense	MTEB
159	jhgan/ko-sroberta-multitask	Embedding	Text Embedding	111.0M	—	422 MB	——	—	dense	MTEB
160	cl-nagoya/ruri-base	Embedding	Text Embedding	111.0M	—	212 MB	——	—	dense	MTEB
161	cl-nagoya/ruri-base-v2	Embedding	Text Embedding	111.0M	—	424 MB	——	—	dense	MTEB
162	dwzhu/e5-base-4k	Embedding	Text Embedding	112.0M	—	269 MB	——	—	dense	MTEB
163	VoiceNet/voiceclap-small	Embedding	Text Embedding	113.0M	—	432 MB	——	—	dense	MTEB
164	intfloat/multilingual-e5-small	Embedding	Text Embedding	118.0M	—	449 MB	——	—	dense	MTEB
165	m3hrdadfi/bert-zwnj-wnli-mean-tokens	Embedding	Text Embedding	118.0M	—	451 MB	——	—	dense	MTEB
166	m3hrdadfi/roberta-zwnj-wnli-mean-tokens	Embedding	Text Embedding	118.0M	—	451 MB	——	—	dense	MTEB
167	mteb/baseline-hybrid-dbsf-baseline-bm25s-multilingual-e5-small	Embedding	Text Embedding	118.0M	—	449 MB	——	—	hybrid	MTEB
168	mteb/baseline-hybrid-rrf-baseline-bm25s-multilingual-e5-small	Embedding	Text Embedding	118.0M	—	449 MB	——	—	hybrid	MTEB
169	mteb/baseline-hybrid-rsf-baseline-bm25s-multilingual-e5-small	Embedding	Text Embedding	118.0M	—	449 MB	——	—	hybrid	MTEB
170	dragonkue/multilingual-e5-small-ko	Embedding	Text Embedding	118.0M	—	449 MB	——	—	dense	MTEB
171	Lajavaness/bilingual-embedding-small	Embedding	Text Embedding	118.0M	—	449 MB	——	—	dense	MTEB
172	Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet	Embedding	Text Embedding	118.0M	—	449 MB	——	—	dense	MTEB
173	sdadas/mmlw-e5-small	Embedding	Text Embedding	118.0M	—	449 MB	——	—	dense	MTEB
174	sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2	Embedding	Text Embedding	118.0M	—	449 MB	——	—	dense	MTEB
175	shibing624/text2vec-base-chinese-paraphrase	Embedding	Text Embedding	118.0M	—	450 MB	——	—	dense	MTEB
176	shibing624/text2vec-base-multilingual	Embedding	Text Embedding	118.0M	—	449 MB	——	—	dense	MTEB
177	PartAI/TookaBERT-Base	Embedding	Text Embedding	123.0M	—	469 MB	——	—	dense	MTEB
178	PartAI/Tooka-SBERT-V2-Small	Embedding	Text Embedding	123.0M	—	496 MB	——	—	dense	MTEB
179	clips/e5-base-trm-nl	Embedding	Text Embedding	124.0M	—	237 MB	——	—	dense	MTEB
180	sbunlp/fabert	Embedding	Text Embedding	124.0M	—	475 MB	——	—	dense	MTEB
181	KennethEnevoldsen/dfm-sentence-encoder-medium	Embedding	Text Embedding	124.0M	—	475 MB	——	—	dense	MTEB
182	sdadas/mmlw-roberta-base	Embedding	Text Embedding	124.0M	—	475 MB	——	—	dense	MTEB
183	deepvk/deberta-v1-base	Embedding	Text Embedding	124.0M	—	473 MB	——	—	dense	MTEB
184	ibm-granite/granite-embedding-125m-english	Embedding	Text Embedding	125.0M	—	238 MB	——	—	dense	MTEB
185	KBLab/sentence-bert-swedish-cased	Embedding	Text Embedding	125.0M	—	476 MB	——	—	dense	MTEB
186	codesage/codesage-small-v2	Embedding	Text Embedding	128.0M	—	496 MB	——	—	dense	MTEB
187	minishlab/M2V_multilingual_output	Embedding	Text Embedding	128.0M	—	489 MB	——	—	dense	MTEB
188	minishlab/potion-multilingual-128M	Embedding	Text Embedding	128.0M	—	489 MB	——	—	dense	MTEB
189	sergeyzh/BERTA	Embedding	Text Embedding	128.0M	—	489 MB	——	—	dense	MTEB
190	cointegrated/LaBSE-en-ru	Embedding	Text Embedding	129.0M	—	492 MB	——	—	dense	MTEB
191	sergeyzh/LaBSE-ru-turbo	Embedding	Text Embedding	129.0M	—	490 MB	——	—	dense	MTEB
192	cl-nagoya/ruri-v3-130m	Embedding	Text Embedding	132.0M	—	504 MB	——	—	dense	MTEB
193	opensearch-project/opensearch-neural-sparse-encoding-doc-v1	Embedding	Text Embedding	133.0M	—	507 MB	——	—	sparse	MTEB
194	Alibaba-NLP/gte-base-en-v1.5	Embedding	Text Embedding	137.0M	—	329 MB	——	—	dense	MTEB
195	jinaai/jina-embeddings-v2-base-en	Embedding	Text Embedding	137.0M	—	262 MB	——	—	dense	MTEB
196	Hum-Works/lodestone-base-4096-v1	Embedding	Text Embedding	137.0M	—	329 MB	——	—	dense	MTEB
197	nomic-ai/nomic-embed-text-v1-ablated	Embedding	Text Embedding	137.0M	—	329 MB	——	—	dense	MTEB
198	nomic-ai/nomic-embed-text-v1-unsupervised	Embedding	Text Embedding	137.0M	—	329 MB	——	—	dense	MTEB
199	Alibaba-NLP/gte-modernbert-base	Embedding	Text Embedding	149.0M	—	284 MB	——	—	dense	MTEB
200	ibm-granite/granite-embedding-english-r2	Embedding	Text Embedding	149.0M	—	284 MB	——	—	dense	MTEB
201	BAAI/BGE-VL-base	Embedding	Text Embedding	150.0M	—	285 MB	——	—	dense	MTEB
202	mixedbread-ai/mxbai-rerank-base-v1	Embedding	Text Embedding	184.0M	—	352 MB	——	—	cross-encoder	MTEB
203	jinaai/jina-embeddings-v5-text-nano	Embedding	Text Embedding	212.0M	—	404 MB	——	—	dense	MTEB
204	sentence-transformers/sentence-t5-base	Embedding	Text Embedding	223.0M	—	209 MB	——	—	dense	MTEB
205	BidirLM/BidirLM-270M-Embedding	Embedding	Text Embedding	268.0M	—	511 MB	——	—	dense	MTEB
206	microsoft/harrier-oss-v1-270m	Embedding	Text Embedding	268.0M	—	512 MB	——	—	dense	MTEB
207	deepvk/USER-base	Embedding	Text Embedding	427.0M	—	473 MB	——	—	dense	MTEB