Trending Models

Models with the strongest trending signal reported by the source right now. How this is measured

#	Model	Task	7D	Likes	Params
1	bert-tiny-multi-vectormulti-vector-encoder-testing	Embeddings	—	2	4.4M
2	Qwen3-Embedding-8Bunsloth	Embeddings	1.8%(up)	7	7.6B
3	jina-embeddings-v5-omni-nano-clustering-GGUFjinaai	Embeddings	10.4%(up)	0	—
4	Qwen3-32B-VL-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-i1-GGUFmradermacher	—	—	2	—
5	giga-embeddings-0826-480m-ggufai-babai	Sentence Similarity	—	1	—
6	tmax-v1.1-9b-GGUFmradermacher	Reinforcement Learning	—	0	—
7	jina-embeddings-v5-omni-small-retrieval-Quantizedewin-reg	Embeddings	—	2	930M
8	Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUFchuzka	Text Generation	23.8%(up)	0	—
9	MuchKnow-SecOps-8B-GGUFmradermacher	—	—	0	—
10	German-RAG-UAE-LARGE-V1-TRIPLES-MERGED-HESSIAN-AIavemio	Sentence Similarity	—	0	335M
11	Qwen3-MOE-4x0.6B-2.4B-Writing-ThunderDavidAU	Text Generation	13.6%(up)	12	1.5B
12	turkish_embedding_model_fine_tunedselmanbaysan	Sentence Similarity	—	2	111M
13	ModernBERT-large-msmarcojoe32140	Sentence Similarity	1.2%(up)	4	395M
14	Nidum-gemma-3-27B-it-Uncensored-i1-GGUFmradermacher	—	1.6%(up)	2	—
15	Qwen1.5-7B-ChatQwen	Text Generation	0.4%(up)	186	7.7B
16	Qwen3.8B-27B-MixDeathsquad10	Image Text to Text	26.9%(up)	1	27.8B
17	eva_large_patch14_196.in22k_ft_in22k_in1ktimm	Image Classification	0.3%(up)	3	304M
18	BERT-DK_restactivebus	Fill Mask	0.5%(up)	0	—
19	OpenMed-NER-DNADetect-BioPatient-108MOpenMed	Token Classification	1.1%(up)	0	108M
20	OpenMed-NER-OncologyDetect-MultiMed-335MOpenMed	Token Classification	1.1%(up)	0	334M
21	Mistral-7B-Instruct-v0.2-llamafilemozilla-ai	Text Generation	2.9%(up)	26	—
22	LightOnOCR-2-1B-bbox-souplightonai	Image Text to Text	2.5%(up)	18	1B
23	resnet101.a1_in1ktimm	Image Classification	1.5%(up)	1	44.7M
24	checkpointHishambarakat	Text to Image	9.0%(up)	5	—
25	Llama-3.1-Tulu-3-70B-DPO-GGUFbartowski	Text Generation	5.2%(up)	2	—
26	Qwen3.6-27B-Claude-Opus-Reasoning-Distilledrico03	Text Generation	28.3%(up)	14	27.8B
27	efficientnet_b1.ft_in1ktimm	Image Classification	1.5%(up)	0	7.9M
28	set-encoder-basewebis	Text Ranking	0.6%(up)	2	109M
29	Mini-InternVL-Chat-2B-V1-5OpenGVLab	Image Text to Text	1.6%(up)	74	2.2B
30	OpenCUA-7Bxlangai	Image Text to Text	0.5%(up)	33	8.3B
31	vit_large_patch16_dinov3.sat493mtimm	Image Feature Extraction	2.9%(up)	3	303M
32	OpenMed-PII-Italian-BiomedELECTRA-Base-110M-v1OpenMed	Token Classification	4.8%(up)	0	109M
33	xlm-roberta-large-squad2deepset	Question Answering	0.1%(up)	57	560M
34	Qwen3-30B-A3B-Thinking-2507-MLX-4bitlmstudio-community	Text Generation	1.0%(up)	2	30.5B
35	Qwen3.6-35B-A3B-uncensored-heretic-i1-GGUFmradermacher	—	5.2%(up)	18	—
36	Wan2.1-Fun-V1.1-1.3B-InPalibaba-pai	Text to Video	7.1%(up)	12	—
37	Qwen2.5-7B-Instruct-1M-Thinking-Claude-Gemini-GPT5.2-DISTILL-i1-GGUFmradermacher	—	7.8%(up)	1	—
38	vietnamese-correction-v2bmd1905	—	—	11	396M
39	gemma-2-2b-it-ggufmmnga	—	4.9%(up)	1	—
40	Mistral-v0.2-Nexus-Internal-Knowledge-Map-7B-i1-GGUFmradermacher	—	2.3%(up)	0	—
41	pythia-160m-seed1EleutherAI	Text Generation	2.0%(up)	0	213M
42	mmlw-roberta-basesdadas	Sentence Similarity	0.2%(up)	3	124M
43	leo-hessianai-13B-chat-bilingual-GGUFTheBloke	Text Generation	1.8%(up)	7	—
44	Qwen3.5-13B-Deckard-Heretic-Uncensored-Thinking-i1-GGUFmradermacher	—	3.1%(up)	6	—
45	Roswaal-8B-i1-GGUFmradermacher	—	2.0%(up)	1	—
46	nekomata-7b-instruction-i1-GGUFmradermacher	—	4.1%(up)	1	—
47	stt_en_fastconformer_ctc_xxlargenvidia	Speech Recognition	0.9%(up)	2	—
48	Qwen2.5-Coder-3B-Instruct-hereticsaidutta69	Text Generation	7.6%(up)	1	3.1B
49	krea2_realisticSnapshotuzumix	Text to Image	21.3%(up)	1	—
50	gemma-4-E4B-it-FP8prithivMLmods	Any to Any	8.2%(up)	6	8.7B