1,423 models · 1,213 open weights · 210 API-only · refreshed nightly

All models

Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.

All 1,423 Open weights (self-host) 1,213 API-only 210

All text-generation 735 text-to-image 165 image-text-to-text 110 ASR 82 sentence-similarity 63 text-classification 50 translation 50 feature-extraction 46 image-classification 41 text-to-speech 23 token-classification 22 summarization 9 audio-classification 9 image-segmentation 9 object-detection 7 audio-text-to-text 1 any-to-any 1

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

1,423 models

#	Model	Params	Context	Commercial use	30d	Min VRAM
101	parakeet-tdt-0.6b-v3 mlx-community · ASR Open weights	630 M	—	✓ cc-by-4.0	2.7 M	from 3.4 GB
102	DeepSeek-V4-Flash-0731 deepseek-ai · text-generation Open weights Also via API	304.2 B	1.0 M	✓ mit	2.7 M	from 229.7 GB
103	bge-base-en BAAI · feature-extraction Open weights	110 M	512	✓ mit	2.7 M	from 1.0 GB
104	Qwen2.5-3B-Instruct Qwen · text-generation Open weights	3.1 B	33 K	other	2.6 M	from 7.8 GB
105	Qwen3-4B-Instruct-2507 Qwen · text-generation Open weights	4.0 B	262 K	✓ apache-2.0	2.6 M	from 10.0 GB
106	wav2vec2-large-xlsr-53-polish jonatasgrosman · ASR Open weights	—	—	✓ apache-2.0	2.5 M	—
107	SmolLM2-135M HuggingFaceTB · text-generation Open weights	130 M	8 K	✓ apache-2.0	2.5 M	from 0.8 GB
108	bge-base-en-v1.5 Xenova · feature-extraction Open weights	110 M	512	✓ mit	2.5 M	from 0.8 GB
109	Qwen-Image-2.1-Uncensored-Quantized abenzerps · text-to-image Open weights	7.1 B	—	other	2.5 M	from 6.1 GB
110	Qwen3-Embedding-4B Qwen · feature-extraction Open weights	4.0 B	41 K	✓ apache-2.0	2.5 M	from 10.0 GB
111	all-distilroberta-v1 sentence-transformers · sentence-similarity Open weights	80 M	512	✓ apache-2.0	2.5 M	from 0.9 GB
112	Qwen3.8-27B-Uncensored-GGUF JonathanColetti · text-generation Open weights	—	—	✓ apache-2.0	2.5 M	from 1.5 GB
113	gemma-4-12b-it-GGUF unsloth · image-text-to-text Open weights	12.0 B	—	✓ apache-2.0	2.5 M	from 7.9 GB
114	all-MiniLM-L12-v2 sentence-transformers · sentence-similarity Open weights	30 M	512	✓ apache-2.0	2.5 M	from 0.7 GB
115	gpt-oss-120b openai · text-generation Open weights Also via API	120.4 B	131 K	✓ apache-2.0	2.4 M	from 162.1 GB
116	twitter-roberta-base-sentiment-latest cardiffnlp · text-classification Open weights	—	512	✓ cc-by-4.0	2.4 M	—
117	mms-300m-1130-forced-aligner MahmoudAshraf · ASR Open weights	320 M	—	✗ cc-by-nc-4.0	2.4 M	from 1.9 GB
118	faster-whisper-tiny Systran · ASR Open weights	—	—	✓ mit	2.4 M	—
119	chatterbox ResembleAI · text-to-speech Open weights	—	—	✓ mit	2.4 M	from 12.2 GB
120	Ornith-1.0-9B deepreinforce-ai · text-generation Open weights	<0.1 M	—	✓ mit	2.4 M	from 21.2 GB
121	Ornith-1.0-9B-GGUF ornith-ai · text-generation Open weights	—	—	✓ mit	2.4 M	from 6.7 GB
122	bge-reranker-base BAAI · text-classification Open weights	280 M	512	✓ mit	2.4 M	from 1.8 GB
123	wav2vec2-large-robust-24-ft-age-gender audeering · audio-classification Open weights	320 M	—	✗ cc-by-nc-sa-4.0	2.4 M	from 1.9 GB
124	Qwen3-Embedding-8B Qwen · feature-extraction Open weights	7.6 B	41 K	✓ apache-2.0	2.4 M	from 18.3 GB
125	parakeet-unified-en-0.6b-gguf handy-computer · ASR Open weights	600 M	—	other	2.4 M	from 1.1 GB
126	Qwen3.6-27B Qwen · image-text-to-text Open weights Also via API	27.8 B	—	✓ apache-2.0	2.3 M	from 65.8 GB
127	gte-small thenlper · sentence-similarity Open weights	30 M	512	✓ mit	2.3 M	from 0.6 GB
128	moondream2 vikhyatk · image-text-to-text Open weights	1.9 B	—	✓ apache-2.0	2.3 M	from 5.0 GB
129	mxbai-embed-large-v1 mixedbread-ai · feature-extraction Open weights	340 M	512	✓ apache-2.0	2.3 M	from 1.3 GB
130	wav2vec2-large-xlsr-53-dutch jonatasgrosman · ASR Open weights	—	—	✓ apache-2.0	2.3 M	—
131	Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF HauhauCS · image-text-to-text Open weights	—	—	✓ apache-2.0	2.2 M	from 1.5 GB
132	wav2vec2-large-xlsr-53-arabic jonatasgrosman · ASR Open weights	—	—	✓ apache-2.0	2.2 M	—
133	faster-whisper-base Systran · ASR Open weights	—	—	✓ mit	2.2 M	—
134	Qwen-Image-2.1-Uncensored-GGUF abenzerps · text-to-image Open weights	7.1 B	—	other	2.2 M	from 6.1 GB
135	Qwen3.6-35B-A3B-MTP-GGUF unsloth · image-text-to-text Open weights	—	—	✓ apache-2.0	2.1 M	from 13.0 GB
136	Qwen3.8-27B-GGUF byteshape · image-text-to-text Open weights	27.0 B	—	✓ apache-2.0	2.1 M	from 5.6 GB
137	Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF DavidAU · image-text-to-text Open weights	9.0 B	—	✓ apache-2.0	2.1 M	from 7.3 GB
138	VieNeu-TTS-v3-Turbo pnnbao-ump · text-to-speech Open weights	131 M	1 K	✓ apache-2.0	2.1 M	from 0.7 GB
139	wav2vec2-large-xlsr-53-greek jonatasgrosman · ASR Open weights	—	—	✓ apache-2.0	2.0 M	—
140	nemotron-3.5-asr-streaming-0.6b-gguf handy-computer · ASR Open weights	600 M	—	other	2.0 M	from 1.1 GB
141	bge-reranker-large BAAI · feature-extraction Open weights	560 M	512	✓ mit	2.0 M	from 3.0 GB
142	gemma-4-26B-A4B-it-GGUF unsloth · image-text-to-text Open weights	—	—	✓ apache-2.0	2.0 M	from 11.4 GB
143	GLM-5.3 zai-org · text-generation Open weights Also via API	753.3 B	1.0 M	other	2.0 M	from 944.7 GB
144	faster-whisper-medium Systran · ASR Open weights	—	—	✓ mit	2.0 M	—
145	bge-small-en-v1.5-onnx-Q Qdrant · sentence-similarity Open weights	—	512	✓ mit	2.0 M	—
146	GLM-OCR zai-org · image-text-to-text Open weights	1.3 B	—	✓ mit	2.0 M	from 3.6 GB
147	DeepSeek-OCR deepseek-ai · image-text-to-text Open weights	3.3 B	8 K	✓ mit	2.0 M	from 8.3 GB
148	resnet18.a1_in1k timm · image-classification Open weights	10 M	—	✓ apache-2.0	2.0 M	from 0.6 GB
149	Qwen2.5-Coder-14B-Instruct Qwen · text-generation Open weights	14.8 B	33 K	✓ apache-2.0	1.9 M	from 35.2 GB
150	gte-large-en-v1.5 Alibaba-NLP · sentence-similarity Open weights	430 M	8 K	✓ apache-2.0	1.9 M	from 2.5 GB

VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.