Trending Models

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

#	Model	Task	7D	Likes	Params
1	Qwen3.5-Queen-27B-GGUFmradermacher	Image Text to Text	6.1%(up)	0	—
2	CroissantLLMBase-GGUFmradermacher	—	13.8%(up)	0	—
3	SER-Odyssey-Baseline-WavLM-Categorical3loi	Audio Classification	0.3%(up)	11	319M
4	Ovis2-1B-hfthisisiron	Image Text to Text	7.8%(up)	0	1.1B
5	whisper-mediumXenova	Speech Recognition	0.0%(up)	9	—
6	Pantheon-RP-1.6.2-22b-Small-GGUFbartowski	Text Generation	3.0%(up)	7	—
7	YandexGPT-5-Lite-8B-pretrainyandex	—	0.3%(up)	220	8B
8	unsloth-Phi-3.5-mini-instruct-IMat-GGUFlegraphista	Text Generation	6.3%(up)	0	—
9	xls-r-300m-danish-mc-v2MediaCatch	Speech Recognition	0.2%(up)	0	315M
10	gemma-4-12b-asterion-agentic-i1-GGUFmradermacher	—	7.5%(up)	2	—
11	Ornith-1.5-35B-A3B-PXQ-GGUFmistrjirka	—	—	0	—
12	Replete-LLM-V2.5-Qwen-72b-GGUFbartowski	Text Generation	2.9%(up)	8	—
13	tnt_s_patch16_224.in1ktimm	Image Classification	1.7%(up)	0	23.8M
14	Qwen3-1.7BPrimeIntellect	Text Generation	2.8%(up)	0	2B
15	toffee-3b-beta-i1-GGUFmradermacher	Text Generation	85.4%(up)	0	—
16	Qwen3-4B-Thinking-2507-FP8Qwen	Text Generation	0.1%(up)	66	4.4B
17	DeepSeek-V4-Flash-180B0xSero	Text Generation	0.5%(up)	31	102B
18	Qwen3.8-27B-Uncensored-YMQ-MTP-GGUF-12GB0xSojalSec	Text Generation	13.4%(up)	0	—
19	clip-vit-base-patch32_resisc45tanganke	Embeddings	0.2%(up)	0	87.5M
20	upos-english-fastflair	Token Classification	0.1%(up)	5	—
21	InternVL-Chat-V1-5OpenGVLab	Image Text to Text	0.7%(up)	417	25.5B
22	bigcode.starcoder2-3b-GGUFDevQuasar-9	Text Generation	1.7%(up)	0	—
23	electrical-ner-ModernBERT-basedisham993	Token Classification	0.6%(up)	2	150M
24	gemma-4-E4B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking-GGUFAbiray	Text Generation	1.4%(up)	10	—
25	Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-i1-GGUFmradermacher	—	8.3%(up)	0	—
26	ljspeech-jets-onnxNeuML	Text to Speech	1.9%(up)	24	—
27	tiny-random-deepseek-v3optimum-intel-internal-testing	Text Generation	6.8%(up)	0	1.7M
28	Ornith1.5-9B-3MPER0RR-abliterated-i1-GGUFmradermacher	—	17.6%(up)	0	—
29	Qwen3-1.7B-f16geoffmunn	Text Generation	1.4%(up)	4	—
30	Agents-A1-4B-F16-GGUFInternScience	Text Generation	2.0%(up)	5	—
31	DeepReasoning_1Rreaperdoesntknow	Text Generation	10.1%(up)	1	494M
32	llm-compiler-13bfacebook	Text Generation	0%	90	—
33	QUEST-35B-RLosunlp	Text Generation	1.9%(up)	34	35.1B
34	01-ai_-_Yi-1.5-34B-Chat-16K-ggufRichardErkhov	—	27.4%(up)	0	—
35	Phi-4-mini-instruct-bnb-4bitunsloth	Text Generation	0.7%(up)	7	3.9B
36	ViCLIP-L-14-BVD-V-50M-s50M-b32Klaion	Video Classification	—	1	428M
37	koelectra-base-klue-nersoddokayo	Token Classification	3.3%(up)	0	—
38	DeepSeek-R1-Distill-Qwen-14B-4bitmlx-community	—	0.2%(up)	13	14.8B
39	LFM2.5-1.2B-Thinking-GGUFunsloth	Text Generation	3.4%(up)	13	—
40	Mistral-Trismegistus-7B-GGUFTheBloke	—	3.3%(up)	15	—
41	jib-mix-flux-v8accentueight-nsfw-bf16-fluxJohn6666	Text to Image	—	3	11.9B
42	vectionlabs_Salience-1.5-Flash-GGUFbartowski	Image Text to Text	11.8%(up)	1	—
43	NeoAraBERT_MSAU4RASD	Embeddings	2.2%(up)	5	298M
44	gemma-4-31B-it-heretic-FP8-Dynamic0ppxnhximxr	Image Text to Text	1.3%(up)	1	32.7B
45	Fireball-Alpaca-Llama3.1.08-8B-C-R1-KTO-Relection-i1-GGUFmradermacher	—	12.6%(up)	0	—
46	gemma-3-27b-it-GGUFlmstudio-community	Image Text to Text	0.3%(up)	51	—
47	bert-large-nli-mean-tokenssentence-transformers	Sentence Similarity	0.6%(up)	0	335M
48	Liberated-Miqu-70B-GGUFmradermacher	—	9.2%(up)	0	—
49	Mahou-1.2b-mistral-7B-i1-GGUFmradermacher	—	6.7%(up)	2	—
50	LFM2.5-1.2B-Thinking-ONNXLiquidAI	Text Generation	2.3%(up)	24	—