Trending Models

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

#	Model	Task	7D	Likes	Params
1	Jamba-tiny-devai21labs	—	—	14	319M
2	Mistral-Nemo-Instruct-2407-quantized.w4a16RedHatAI	Text Generation	—	4	12.2B
3	HarmBench-Llama-2-13b-clscais	Text Generation	—	32	13B
4	jinen-v2-small.gguftogatogah	Text Generation	—	0	—
5	sentence-t5-basesentence-transformers	Sentence Similarity	—	51	110M
6	vjepa2-vitg-fpc64-256facebook	Video Classification	—	57	1B
7	deberta-base-mnlimicrosoft	Text Classification	—	9	—
8	GLM-4.5V-i1-GGUFmradermacher	—	—	1	—
9	tiny-random-vitoptimum-intel-internal-testing	Image Classification	—	0	41.8K
10	ReactionT5v2-yieldsagawa	—	—	3	—
11	potion-base-32Mminishlab	—	—	27	32.3M
12	OpenMed-ZeroShot-NER-Pharma-Small-166MOpenMed	Token Classification	—	0	—
13	R-4BYannQi	Image Text to Text	—	183	4.8B
14	wav2vec2-large-xlsr-53-dutchjonatasgrosman	Speech Recognition	—	17	—
15	Profluent-E1-600MSynthyra	Fill Mask	—	1	641M
16	ESMFold2-Experimental-Fastbiohub	—	—	0	179M
17	ForbiddenVision_Modelsluxdelux7	Object Detection	—	10	—
18	ViT-SO400M-14-SigLIPtimm	Zero-Shot Image Classification	—	19	—
19	c4ai-command-r7b-12-2024-hereticsaidutta69	Text Generation	—	3	8B
20	InternVL2-2BOpenGVLab	Image Text to Text	—	81	2.2B
21	ibm-granite_-_granite-8b-code-base-4k-ggufRichardErkhov	—	—	0	—
22	wav2vec2-large-voxrex-swedishKBLab	Speech Recognition	—	13	315M
23	Wav2Vec2-large-xlsr-hinditheainerd	Speech Recognition	—	13	316M
24	OpenMed-NER-PharmaDetect-ElectraMed-560MOpenMed	Token Classification	—	0	559M
25	OpenMed-NER-PathologyDetect-ModernClinical-395MOpenMed	Token Classification	—	2	396M
26	img2belztjti	—	—	0	9.7B
27	rag-token-nqfacebook	—	—	179	—
28	MakeModel-VLMsanskar003	Image Text to Text	—	4	2.3B
29	OpenMed-NER-ChemicalDetect-ModernClinical-149MOpenMed	Token Classification	—	0	150M
30	OpenMed-NER-OrganismDetect-SuperClinical-184MOpenMed	Token Classification	—	0	184M
31	moirai-moe-1.0-R-baseSalesforce	Time Series Forecasting	—	19	935M
32	w2v-xls-r-ukYehor	Speech Recognition	—	8	315M
33	wav2vec2-large-xlsr-japanese-hiraganavumichien	Speech Recognition	—	11	316M
34	whisper-tinyXenova	Speech Recognition	—	13	—
35	OpenMed-NER-GenomeDetect-ElectraMed-33MOpenMed	Token Classification	—	0	33.2M
36	OpenMed-NER-BloodCancerDetect-SnowMed-568MOpenMed	Token Classification	—	0	567M
37	OpenMed-NER-ChemicalDetect-SuperClinical-184MOpenMed	Token Classification	—	0	184M
38	clip-vit-base-patch16Xenova	Zero-Shot Image Classification	—	9	—
39	Step-3.7-Flash-GGUFbartowski	Image Text to Text	—	8	—
40	clip-vit-base-patch32_resisc45tanganke	Embeddings	—	0	87.5M
41	OpenMed-NER-ProteinDetect-TinyMed-135MOpenMed	Token Classification	—	0	135M
42	mms-tts-hinfacebook	Text to Speech	—	20	36.3M
43	OpenMed-NER-ChemicalDetect-SuperMedical-355MOpenMed	Token Classification	—	0	354M
44	OpenMed-NER-DiseaseDetect-ElectraMed-560MOpenMed	Token Classification	—	0	559M
45	OpenMed-NER-PharmaDetect-PubMed-335MOpenMed	Token Classification	—	0	334M
46	OpenMed-NER-ProteinDetect-BioClinical-108MOpenMed	Token Classification	—	0	108M
47	OpenMed-NER-PharmaDetect-ElectraMed-33MOpenMed	Token Classification	—	0	33.2M
48	OpenMed-NER-PharmaDetect-MultiMed-335MOpenMed	Token Classification	—	0	334M
49	NeverSleep_-_Noromaid-7B-0.4-DPO-ggufRichardErkhov	—	—	2	—
50	OpenMed-NER-PathologyDetect-PubMed-335MOpenMed	Token Classification	—	0	334M