1,054 models · refreshed nightly

Models that run on RTX 3060 · 12 GB

Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.

All text-generation 410 text-to-image 153 ASR 92 image-text-to-text 89 sentence-similarity 61 feature-extraction 47 translation 47 text-classification 42 image-classification 34 token-classification 27 text-to-speech 12 audio-classification 11 object-detection 11 summarization 9 image-segmentation 9

Any RTX 3060 · 12 GB RTX 4070 · 16 GB RTX 4090 · 24 GB 2 × 24 GB Mac M3 · 24 GB Mac M4 Max · 64 GB

573 models

#	Model	Params	Context	Commercial use	30d	On RTX 3060 · 12 GB
51	Ornith-1.0-9B-GGUF ornith-ai · text-generation	—	—	✓ mit	3.3 M	6.7 GB
52	nomic-embed-text-v1 nomic-ai · sentence-similarity	140 M	8 K	✓ apache-2.0	3.2 M	1.1 GB
53	Qwen3-VL-2B-Instruct Qwen · image-text-to-text	2.1 B	—	✓ apache-2.0	3.0 M	5.5 GB
54	Florence-2-base microsoft · image-text-to-text	230 M	—	✓ mit	3.0 M	1.0 GB
55	all-MiniLM-L6-v2 Xenova · feature-extraction	20 M	512	✓ apache-2.0	3.0 M	0.5 GB
56	gemma-3-1b-it google · text-generation · gated	1.0 B	—	⚠ gemma	2.9 M	2.8 GB
57	whisper-small openai · ASR	240 M	—	✓ apache-2.0	2.9 M	1.6 GB
58	bge-reranker-large BAAI · feature-extraction	560 M	512	✓ mit	2.8 M	3.0 GB
59	all-distilroberta-v1 sentence-transformers · sentence-similarity	80 M	512	✓ apache-2.0	2.7 M	0.9 GB
60	mms-300m-1130-forced-aligner MahmoudAshraf · ASR	320 M	—	✗ cc-by-nc-4.0	2.7 M	1.9 GB
61	embeddinggemma-300m google · sentence-similarity · gated	300 M	—	⚠ gemma	2.6 M	1.9 GB
62	indonesian-roberta-base-posp-tagger w11wo · token-classification	120 M	512	✓ mit	2.6 M	1.1 GB
63	Qwen3-TTS-12Hz-1.7B-CustomVoice Qwen · text-to-speech	1.9 B	—	✓ apache-2.0	2.6 M	5.8 GB
64	Qwen2.5-VL-3B-Instruct Qwen · image-text-to-text	3.8 B	128 K	unknown	2.5 M	9.3 GB
65	bge-base-en-v1.5 Xenova · feature-extraction	110 M	512	✓ mit	2.5 M	0.8 GB
66	wav2vec2-large-robust-24-ft-age-gender audeering · audio-classification	320 M	—	✗ cc-by-nc-sa-4.0	2.5 M	1.9 GB
67	t5-base google-t5 · translation	220 M	—	✓ apache-2.0	2.4 M	1.5 GB
68	bge-base-en BAAI · feature-extraction	110 M	512	✓ mit	2.4 M	1.0 GB
69	Qwen3.5-0.8B Qwen · image-text-to-text	870 M	—	✓ apache-2.0	2.4 M	2.6 GB
70	mxbai-embed-large-v1 mixedbread-ai · feature-extraction	340 M	512	✓ apache-2.0	2.4 M	1.3 GB
71	DeepSeek-OCR deepseek-ai · image-text-to-text	3.3 B	8 K	✓ mit	2.3 M	8.3 GB
72	Qwen3-ASR-1.7B Qwen · ASR	2.4 B	—	✓ apache-2.0	2.3 M	6.0 GB
73	Qwen3.8-27B-Uncensored-GGUF JonathanColetti · text-generation	—	—	✓ apache-2.0	2.3 M	1.5 GB
74	Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF HauhauCS · image-text-to-text	—	—	✓ apache-2.0	2.3 M	1.5 GB
75	Unlimited-OCR baidu · image-text-to-text	3.3 B	33 K	✓ mit	2.2 M	8.3 GB
76	w2v-bert-2.0 facebook · feature-extraction	580 M	—	✓ mit	2.2 M	3.1 GB
77	Qwen3-Embedding-4B Qwen · feature-extraction	4.0 B	41 K	✓ apache-2.0	2.1 M	10.0 GB
78	SmolLM2-135M HuggingFaceTB · text-generation	130 M	8 K	✓ apache-2.0	2.1 M	0.8 GB
79	distilgpt2 distilbert · text-generation	90 M	—	✓ apache-2.0	2.1 M	0.9 GB
80	Qwen2-VL-2B-Instruct Qwen · image-text-to-text	2.2 B	33 K	✓ apache-2.0	2.1 M	5.7 GB
81	resnet18.a1_in1k timm · image-classification	10 M	—	✓ apache-2.0	2.0 M	0.6 GB
82	jina-embeddings-v3 jinaai · feature-extraction	570 M	8 K	✗ cc-by-nc-4.0	2.0 M	1.8 GB
83	Qwen2.5-VL-7B-Instruct-AWQ Qwen · image-text-to-text	8.3 B	128 K	✓ apache-2.0	2.0 M	9.4 GB
84	GLM-OCR zai-org · image-text-to-text	1.3 B	—	✓ mit	2.0 M	3.6 GB
85	deepseek-v4-gguf antirez · text-generation	—	—	✓ mit	2.0 M	4.7 GB
86	romanian-wav2vec2 gigant · ASR	320 M	—	✓ apache-2.0	1.9 M	1.9 GB
87	Gemma-4-E4B-Uncensored-HauhauCS-Aggressive HauhauCS · image-text-to-text	—	—	⚠ gemma	1.9 M	5.4 GB
88	wav2vec2-large-voxrex-swedish KBLab · ASR	320 M	—	✓ cc0-1.0	1.9 M	1.9 GB
89	moondream2 vikhyatk · image-text-to-text	1.9 B	—	✓ apache-2.0	1.9 M	5.0 GB
90	stsb-bert-tiny-safetensors sentence-transformers-testing · sentence-similarity	<0.1 M	512	unknown	1.9 M	0.5 GB
91	resnet50.a1_in1k timm · image-classification	30 M	—	✓ apache-2.0	1.9 M	0.6 GB
92	Llama-3.2-3B-Instruct meta-llama · text-generation · gated	3.2 B	—	⚠ llama3.2	1.8 M	8.0 GB
93	nemotron-3.5-asr-streaming-0.6b-gguf handy-computer · ASR	—	—	other	1.8 M	1.0 GB
94	Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF 0bserverx · text-generation	—	—	✓ apache-2.0	1.8 M	8.9 GB
95	parakeet-tdt-0.6b-v3 mlx-community · ASR	630 M	—	✓ cc-by-4.0	1.8 M	3.4 GB
96	filipino-wav2vec2-l-xls-r-300m-official Khalsuu · ASR	300 M	—	✓ apache-2.0	1.8 M	1.2 GB
97	gemma-3-4b-it google · image-text-to-text · gated	4.3 B	—	⚠ gemma	1.8 M	10.6 GB
98	Qwen3-8B-AWQ Qwen · text-generation	8.2 B	41 K	✓ apache-2.0	1.8 M	8.4 GB
99	tf_efficientnetv2_s.in21k_ft_in1k timm · image-classification	20 M	—	✓ apache-2.0	1.8 M	0.6 GB
100	paraphrase-mpnet-base-v2 sentence-transformers · sentence-similarity	110 M	512	✓ apache-2.0	1.7 M	1.0 GB

VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.