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
01	all-MiniLM-L6-v2 sentence-transformers · sentence-similarity	20 M	512	✓ apache-2.0	257.8 M	from 0.6 GB
02	bge-small-en-v1.5 BAAI · feature-extraction	30 M	512	✓ mit	72.4 M	from 0.7 GB
03	paraphrase-multilingual-MiniLM-L12-v2 sentence-transformers · sentence-similarity	120 M	512	✓ apache-2.0	59.4 M	from 1.0 GB
04	bge-m3 BAAI · sentence-similarity	—	8 K	✓ mit	35.0 M	—
05	Qwen3-0.6B Qwen · text-generation	750 M	41 K	✓ apache-2.0	29.7 M	from 2.3 GB
06	all-mpnet-base-v2 sentence-transformers · sentence-similarity	110 M	512	✓ apache-2.0	25.2 M	from 1.0 GB
07	t5-small google-t5 · translation	60 M	—	✓ apache-2.0	24.7 M	from 0.8 GB
08	bge-reranker-v2-m3 BAAI · text-classification	570 M	8 K	✓ apache-2.0	19.2 M	from 3.1 GB
09	opt-125m facebook · text-generation	—	2 K	other	18.5 M	—
10	mobilenetv3_small_100.lamb_in1k timm · image-classification	0 M	—	✓ apache-2.0	18.5 M	from 0.5 GB
11	Qwen3-8B Qwen · text-generation	8.2 B	41 K	✓ apache-2.0	16.3 M	from 19.7 GB
12	nomic-embed-text-v1.5 nomic-ai · sentence-similarity	140 M	2 K	✓ apache-2.0	15.7 M	from 1.1 GB
13	multilingual-e5-small intfloat · sentence-similarity	120 M	512	✓ mit	15.6 M	from 1.0 GB
14	Qwen2.5-1.5B-Instruct Qwen · text-generation	1.5 B	33 K	✓ apache-2.0	14.0 M	from 4.1 GB
15	gpt2 openai-community · text-generation	140 M	—	✓ mit	13.7 M	from 1.1 GB
16	bge-large-en-v1.5 BAAI · feature-extraction	340 M	512	✓ mit	13.1 M	from 2.0 GB
17	Qwen3.5-9B Qwen · image-text-to-text	9.7 B	—	✓ apache-2.0	12.4 M	from 23.2 GB
18	Qwen2.5-7B-Instruct Qwen · text-generation	7.6 B	33 K	✓ apache-2.0	12.1 M	from 18.4 GB
19	Kokoro-82M hexgrad · text-to-speech	—	—	✓ apache-2.0	12.0 M	—
20	gemma-4-31B-it google · image-text-to-text	32.7 B	—	✓ apache-2.0	11.9 M	from 74.2 GB
21	gemma-4-26B-A4B-it google · image-text-to-text	26.5 B	—	✓ apache-2.0	11.7 M	from 61.3 GB
22	paraphrase-multilingual-mpnet-base-v2 sentence-transformers · sentence-similarity	280 M	512	✓ apache-2.0	11.5 M	from 1.8 GB
23	Qwen3.6-35B-A3B-NVFP4 nvidia · text-generation	18.7 B	—	✓ apache-2.0	11.3 M	from 29.1 GB
24	Llama-3.2-1B-Instruct meta-llama · text-generation · gated	1.2 B	—	⚠ llama3.2	10.4 M	from 3.4 GB
25	bge-base-en-v1.5 BAAI · feature-extraction	110 M	512	✓ mit	10.0 M	from 1.0 GB
26	DeepSeek-R1 deepseek-ai · text-generation	684.5 B	164 K	✓ mit	9.9 M	from 860.6 GB
27	Qwen3-Embedding-0.6B Qwen · feature-extraction	600 M	33 K	✓ apache-2.0	9.8 M	from 1.9 GB
28	Qwen2.5-VL-7B-Instruct Qwen · image-text-to-text	8.3 B	128 K	✓ apache-2.0	9.3 M	from 20.0 GB
29	XTTS-v2 coqui · text-to-speech	—	—	other	9.2 M	—
30	Qwen3.6-35B-A3B-FP8 Qwen · image-text-to-text	36.0 B	—	✓ apache-2.0	8.9 M	from 47.1 GB
31	speaker-diarization-3.1 pyannote · ASR · gated	—	—	✓ mit	8.9 M	—
32	whisper-large-v3-turbo openai · ASR	810 M	—	✓ mit	8.7 M	from 2.4 GB
33	gpt-oss-20b openai · text-generation	21.5 B	131 K	✓ apache-2.0	8.6 M	from 34.0 GB
34	Qwen3-32B Qwen · text-generation	32.8 B	41 K	✓ apache-2.0	8.3 M	from 77.5 GB
35	whisperkit-coreml argmaxinc · ASR	—	—	unknown	8.3 M	—
36	Qwen2.5-VL-3B-Instruct Qwen · image-text-to-text	3.8 B	128 K	unknown	8.2 M	from 9.3 GB
37	Llama-3.1-8B-Instruct meta-llama · text-generation · gated	8.0 B	—	⚠ llama3.1	8.0 M	from 19.4 GB
38	Qwen3.6-27B-FP8 Qwen · image-text-to-text	27.8 B	—	✓ apache-2.0	7.8 M	from 38.6 GB
39	Qwen3-1.7B Qwen · text-generation	2.0 B	41 K	✓ apache-2.0	7.8 M	from 5.3 GB
40	multilingual-e5-large intfloat · feature-extraction	560 M	512	✓ mit	7.5 M	from 3.0 GB
41	multilingual-e5-base intfloat · sentence-similarity	280 M	512	✓ mit	7.2 M	from 1.8 GB
42	Qwen3.6-27B Qwen · image-text-to-text	27.8 B	—	✓ apache-2.0	7.0 M	from 65.8 GB
43	clap-htsat-fused laion · audio-classification	150 M	—	✓ apache-2.0	6.9 M	from 1.2 GB
44	Qwen3.5-4B Qwen · image-text-to-text	4.7 B	—	✓ apache-2.0	6.7 M	from 11.5 GB
45	Qwen2.5-0.5B-Instruct Qwen · text-generation	490 M	33 K	✓ apache-2.0	6.6 M	from 1.7 GB
46	Qwen2.5-3B-Instruct Qwen · text-generation	3.1 B	33 K	other	6.0 M	from 7.8 GB
47	Qwen3.6-35B-A3B Qwen · image-text-to-text	36.0 B	—	✓ apache-2.0	5.9 M	from 85.0 GB
48	finbert ProsusAI · text-classification	—	512	unknown	5.6 M	—
49	whisper-large-v3 openai · ASR	1.5 B	—	✓ apache-2.0	5.5 M	from 10.9 GB
50	nsfw_image_detection Falconsai · image-classification	90 M	—	✓ apache-2.0	5.4 M	from 0.9 GB

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