Trending Models

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

#	Model	Task	7D	Likes	Params
1	Octen-Embedding-4B-GGUFmradermacher	Embeddings	0.4%(up)	2	—
2	gpt-oss-20b-abliterated-ggufdrwhall	—	—	1	—
3	Kohaku-XL-Epsilon-rev2KBlueLeaf	Text to Image	4.8%(up)	24	2.6B
4	LLaMA-3-8B-SFR-Iterative-DPO-RSalesforce	Text Generation	0.2%(up)	78	8B
5	Qwen_Qwen3-4B-GGUFbartowski	Text Generation	3.3%(up)	21	—
6	GIST-small-Embedding-v0avsolatorio	Sentence Similarity	0.1%(up)	34	33.4M
7	deepfake-audio-wav2vec2Vansh180	Audio Classification	9.1%(up)	1	94.6M
8	TMVec-2scikit-bio	Fill Mask	0.0%(up)	2	—
9	Llama-3.2-1B-Instruct-LinkLlama-Cap50THGLab	—	14.5%(up)	0	1.2B
10	Kimi-K2-Instruct-0905-MLX-3bitrichardyoung	Text Generation	—	0	1T
11	Qwen3.5-2B-Opus-Distilled-Heretic-Thinking-Multistage-SFT-v1.0-GGUFprithivMLmods	Image Text to Text	8.3%(up)	3	—
12	C-RADIOv3-Lnvidia	—	3.7%(up)	5	320M
13	BFS-Best-Face-SwapItBitter	Image To Image	—	1	—
14	logicer-ggufs-publicbatuhan-elibuyuk	—	17.8%(up)	0	—
15	MiniCPM5-1B-Turkishthealper2	Text Generation	9.0%(up)	3	1.1B
16	falcon-7btiiuae	Text Generation	0.7%(up)	1,105	7.2B
17	dolphin-2.9.1-mixtral-1x22bdphn	Text Generation	1.0%(up)	46	22.2B
18	VoxCPM-0.5Bopenbmb	Text to Speech	1.7%(up)	821	—
19	Qwen2.5-Sexystemsrx	Text Generation	0.3%(up)	207	1.5B
20	blowjob-flux-3armageddonz1	Text to Image	0.2%(up)	9	—
21	LEALLA-basesetu4993	Sentence Similarity	26.8%(up)	5	107M
22	jina-embeddings-v4jinaai	Visual Document Retrieval	0.8%(up)	538	3.8B
23	OpenMed-NER-PathologyDetect-SuperClinical-184MOpenMed	Token Classification	2.1%(up)	0	184M
24	obsession-illustriousxl-v10-sdxlJohn6666	Text to Image	0.8%(up)	1	2.6B
25	OpenMed-NER-AnatomyDetect-ElectraMed-33MOpenMed	Token Classification	2.2%(up)	0	33.2M
26	snowflake-arctic-embed-m-longSnowflake	Sentence Similarity	1.4%(up)	38	137M
27	pe-av-largefacebook	—	8.4%(up)	68	2.2B
28	Wan22-FastMixZuntan	—	0.4%(up)	10	—
29	gemma-4-26B-A4B-it-heretic-GGUFmradermacher	—	1.2%(up)	55	—
30	mt5-xlgoogle	—	1.2%(up)	29	—
31	upernet-swin-largeopenmmlab	Image Segmentation	3.2%(up)	1	234M
32	roberta-large-NER51la5	Token Classification	0.3%(up)	53	—
33	OpenMed-PII-Italian-ClinicalBGE-Large-335M-v1OpenMed	Token Classification	3.9%(up)	1	334M
34	resnet50.ram_in1ktimm	Image Classification	0.0%(up)	0	25.6M
35	tiny-random-mobilevitoptimum-intel-internal-testing	—	2.4%(up)	0	—
36	gemma-4-12B-coder-fable5-composer2.5-v1-bf16-i1-GGUFmradermacher	—	2.6%(up)	4	—
37	Ornith-1.5-9B-INT4-W4A16-AutoRoundletechlead	Text Generation	3.0%(up)	0	4.3B
38	mms-lid-512facebook	Audio Classification	7.6%(up)	2	966M
39	birefnet-lite-512studioludens	Image Segmentation	24.6%(up)	6	—
40	base-action-grposullivan1502	Text Generation	1.1%(up)	0	81.8M
41	LWM-Chat-1M-JaxLargeWorldModel	—	—	125	—
42	olmOCR-2-7B-1025-FP8TitanML	Image Text to Text	1.8%(up)	0	8.3B
43	Nemotron-3-Nano-Omni-30B-A3B-Reasoning-APEX-GGUFmudler	—	7.0%(up)	12	—
44	granite-4.0-microibm-granite	Text Generation	0.8%(up)	275	3.4B
45	Huihui-Qwen3.8-27B-abliterated-AWQ-MTPshawnw3i	Image Text to Text	40.8%(up)	10	6.5B
46	Mixtral_AI_DeepMedicalMind-GGUFmradermacher	—	4.2%(up)	4	—
47	Qwen3.5-4B-abliterated-GGUFmradermacher	—	3.1%(up)	2	—
48	parti_5_fullbunsenfeng	Text Generation	29.0%(up)	0	7.6B
49	dinov2-smallonnx-community	Image Feature Extraction	12.1%(up)	1	—
50	Qwen3-4B-abliterated-GGUFmradermacher	—	8.1%(up)	3	—