1,011 models · refreshed nightly

All models

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

All text-generation 400 text-to-image 150 ASR 89 image-text-to-text 82 sentence-similarity 55 feature-extraction 47 translation 44 text-classification 39 image-classification 32 token-classification 22 text-to-speech 16 audio-classification 12 image-segmentation 8 object-detection 8 summarization 7

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

1,011 models

#	Model	Params	Context	Commercial use	30d	Min VRAM
101	Qwen3-14B Qwen · text-generation	14.8 B	41 K	✓ apache-2.0	2.8 M	from 35.2 GB
102	Qwen3-VL-32B-Instruct Qwen · image-text-to-text	33.4 B	—	✓ apache-2.0	2.8 M	from 78.9 GB
103	Ornith-1.0-35B deepreinforce-ai · text-generation	0 M	—	✓ mit	2.8 M	from 77.7 GB
104	Ornith-1.0-35B ornith-ai · text-generation	0 M	—	✓ mit	2.8 M	from 77.7 GB
105	NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 nvidia · text-generation	67.2 B	262 K	other	2.8 M	from 98.9 GB
106	Florence-2-base microsoft · image-text-to-text	230 M	—	✓ mit	2.8 M	from 1.0 GB
107	resnet50.a1_in1k timm · image-classification	30 M	—	✓ apache-2.0	2.8 M	from 0.6 GB
108	Gemma-4-31B-IT-NVFP4 nvidia · text-generation	20.9 B	—	other	2.8 M	from 39.5 GB
109	paraphrase-MiniLM-L6-v2 sentence-transformers · sentence-similarity	20 M	512	✓ apache-2.0	2.8 M	from 0.6 GB
110	DeepSeek-V4-Flash deepseek-ai · text-generation	158.1 B	1.0 M	✓ mit	2.7 M	from 199.8 GB
111	voice-activity-detection pyannote · ASR · gated	—	—	✓ mit	2.7 M	—
112	GLM-5.2-FP8 zai-org · text-generation	753.4 B	1.0 M	✓ mit	2.7 M	from 944.7 GB
113	Unlimited-OCR baidu · image-text-to-text	3.3 B	33 K	✓ mit	2.7 M	from 8.3 GB
114	wav2vec2-large-xlsr-53-polish jonatasgrosman · ASR	—	—	✓ apache-2.0	2.7 M	—
115	wav2vec2-large-xlsr-53-japanese jonatasgrosman · ASR	—	—	✓ apache-2.0	2.7 M	—
116	Qwen3.5-27B Qwen · image-text-to-text	27.8 B	—	✓ apache-2.0	2.7 M	from 65.8 GB
117	Qwen3.5-2B Qwen · image-text-to-text	2.3 B	—	✓ apache-2.0	2.6 M	from 5.8 GB
118	distilgpt2 distilbert · text-generation	90 M	—	✓ apache-2.0	2.6 M	from 0.9 GB
119	moondream2 vikhyatk · image-text-to-text	1.9 B	—	✓ apache-2.0	2.6 M	from 5.0 GB
120	twitter-roberta-base-sentiment-latest cardiffnlp · text-classification	—	512	✓ cc-by-4.0	2.6 M	—
121	Qwen3.6-27B-AWQ-INT4 cyankiwi · image-text-to-text	29.3 B	—	✓ apache-2.0	2.6 M	from 27.4 GB
122	paraphrase-MiniLM-L3-v2 sentence-transformers · sentence-similarity	20 M	512	✓ apache-2.0	2.6 M	from 0.6 GB
123	Bonsai-27B-gguf prism-ml · text-generation	—	—	✓ apache-2.0	2.6 M	from 1.2 GB
124	Qwen2.5-0.5B Qwen · text-generation	490 M	33 K	✓ apache-2.0	2.6 M	from 1.7 GB
125	Qwen3.5-35B-A3B Qwen · image-text-to-text	36.0 B	—	✓ apache-2.0	2.6 M	from 85.0 GB
126	e5-large-v2 intfloat · sentence-similarity	340 M	512	✓ mit	2.6 M	from 2.0 GB
127	TinyLlama-1.1B-Chat-v1.0 TinyLlama · text-generation	1.1 B	2 K	✓ apache-2.0	2.5 M	from 3.1 GB
128	snowflake-arctic-embed-xs Snowflake · sentence-similarity	20 M	512	unknown	2.5 M	from 0.6 GB
129	Qwen2.5-14B-Instruct-AWQ Qwen · text-generation	14.8 B	33 K	✓ apache-2.0	2.5 M	from 13.7 GB
130	chatterbox ResembleAI · text-to-speech	—	—	✓ mit	2.5 M	from 12.2 GB
131	mms-300m-1130-forced-aligner MahmoudAshraf · ASR	320 M	—	✗ cc-by-nc-4.0	2.5 M	from 1.9 GB
132	pythia-160m EleutherAI · text-generation	210 M	2 K	✓ apache-2.0	2.5 M	from 0.9 GB
133	bge-reranker-large BAAI · feature-extraction	560 M	512	✓ mit	2.4 M	from 3.0 GB
134	Qwen3-14B-AWQ Qwen · text-generation	14.8 B	41 K	✓ apache-2.0	2.4 M	from 13.7 GB
135	Ornith-1.0-9B deepreinforce-ai · text-generation	0 M	—	✓ mit	2.4 M	from 21.2 GB
136	Ornith-1.0-9B ornith-ai · text-generation	0 M	—	✓ mit	2.4 M	from 21.2 GB
137	Qwen3-VL-Embedding-8B Qwen · sentence-similarity	8.1 B	—	✓ apache-2.0	2.4 M	from 19.6 GB
138	DeepSeek-OCR deepseek-ai · image-text-to-text	3.3 B	8 K	✓ mit	2.3 M	from 8.3 GB
139	all-distilroberta-v1 sentence-transformers · sentence-similarity	80 M	512	✓ apache-2.0	2.3 M	from 0.9 GB
140	Qwen3-TTS-12Hz-1.7B-CustomVoice Qwen · text-to-speech	1.9 B	—	✓ apache-2.0	2.3 M	from 5.8 GB
141	gemma-4-31B-it-qat-w4a16-ct google · image-text-to-text	33.6 B	—	✓ apache-2.0	2.3 M	from 31.1 GB
142	multilingual-e5-large-instruct intfloat · feature-extraction	560 M	512	✓ mit	2.3 M	from 1.8 GB
143	whisper-small openai · ASR	240 M	—	✓ apache-2.0	2.3 M	from 1.6 GB
144	Voxtral-Mini-4B-Realtime-2602 mistralai · ASR	4.4 B	—	✓ apache-2.0	2.3 M	from 20.7 GB
145	Qwen3.5-122B-A10B Qwen · image-text-to-text	125.1 B	—	✓ apache-2.0	2.2 M	from 294.5 GB
146	GLM-5.2 zai-org · text-generation	753.3 B	1.0 M	✓ mit	2.2 M	from 1,770.8 GB
147	Qwen3-VL-2B-Instruct Qwen · image-text-to-text	2.1 B	—	✓ apache-2.0	2.2 M	from 5.5 GB
148	bge-base-en-v1.5 Xenova · feature-extraction	—	512	✓ mit	2.2 M	—
149	Qwen3-Coder-Next-FP8 Qwen · text-generation	79.7 B	262 K	✓ apache-2.0	2.2 M	from 100.9 GB
150	Qwen-72B Qwen · text-generation	72.3 B	33 K	other	2.2 M	from 170.4 GB

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