1,000 models · refreshed nightly

Models that run on RTX 4090 · 24 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 400 text-to-image 150 ASR 88 image-text-to-text 80 sentence-similarity 55 feature-extraction 45 translation 43 text-classification 39 image-classification 32 token-classification 21 text-to-speech 12 audio-classification 10 object-detection 10 image-segmentation 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

679 models

#	Model	Params	Context	Commercial use	30d	On RTX 4090 · 24 GB
151	OTel-LLM-E4B-IT farbodtavakkoli · text-generation	4.0 B	—	✓ apache-2.0	1.4 M	9.9 GB
152	bert-base-NER dslim · token-classification	110 M	512	✓ mit	1.4 M	1.0 GB
153	gte-multilingual-base Alibaba-NLP · sentence-similarity	310 M	8 K	✓ apache-2.0	1.4 M	1.2 GB
154	gender-classification rizvandwiki · image-classification	90 M	—	unknown	1.4 M	0.9 GB
155	wav2vec2-xls-r-300m-mixed mesolitica · ASR	300 M	—	unknown	1.4 M	1.2 GB
156	Wav2Vec2-large-xlsr-hindi theainerd · ASR	320 M	—	unknown	1.4 M	1.9 GB
157	OpenELM-1_1B-Instruct apple · text-generation	1.1 B	—	apple-amlr	1.4 M	3.0 GB
158	bart-large-cnn facebook · summarization	410 M	1 K	✓ mit	1.3 M	2.3 GB
159	Unlimited-OCR-AWQ sahilchachra · image-text-to-text	3.4 B	33 K	✓ mit	1.3 M	4.1 GB
160	OmniVoice k2-fsa · text-to-speech	610 M	—	unknown	1.3 M	4.2 GB
161	Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF DavidAU · image-text-to-text	—	—	✓ apache-2.0	1.3 M	13.8 GB
162	wav2vec2-xls-r-300m-cs-250 comodoro · ASR	320 M	—	✓ apache-2.0	1.3 M	1.9 GB
163	gpt2-large openai-community · text-generation	810 M	—	✓ mit	1.3 M	4.2 GB
164	wav2vec2-xls-r-300m-hebrew imvladikon · ASR	320 M	—	unknown	1.3 M	1.9 GB
165	Qwen3.6-35B-A3B-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	1.3 M	11.6 GB
166	SmolVLM2-500M-Video-Instruct HuggingFaceTB · image-text-to-text	510 M	—	✓ apache-2.0	1.3 M	2.8 GB
167	Qwen3.8-27B-OBLITERATED OBLITERATUS · text-generation	27.8 B	—	✓ apache-2.0	1.2 M	5.7 GB
168	distiluse-base-multilingual-cased-v2 sentence-transformers · sentence-similarity	130 M	512	✓ apache-2.0	1.2 M	1.1 GB
169	nb-wav2vec2-1b-nynorsk NbAiLab · ASR	960 M	—	✓ apache-2.0	1.2 M	4.9 GB
170	Qwen3.8-27B-GSQ-RCO-GGUF ISTA-DASLab · image-text-to-text	—	—	✓ apache-2.0	1.2 M	1.5 GB
171	Meta-Llama-3-8B-Instruct meta-llama · text-generation · gated	8.0 B	—	⚠ llama3	1.2 M	19.4 GB
172	LFM2.5-2.6B-GGUF LiquidAI · text-generation	—	—	other	1.2 M	2.3 GB
173	surya-ocr-2 datalab-to · image-text-to-text	690 M	—	⚠ openrail	1.2 M	2.1 GB
174	PowerMoE-3b ibm-research · text-generation	3.4 B	4 K	✓ apache-2.0	1.2 M	15.9 GB
175	whisper-tiny Xenova · ASR	40 M	—	✓ apache-2.0	1.2 M	0.6 GB
176	pythia-70m-deduped EleutherAI · text-generation	100 M	2 K	✓ apache-2.0	1.2 M	0.7 GB
177	Qwen3-VL-Embedding-8B Qwen · sentence-similarity	8.1 B	—	✓ apache-2.0	1.2 M	19.6 GB
178	Qwen3.8-27B-GGUF ggml-org · image-text-to-text	27.0 B	—	✓ apache-2.0	1.2 M	6.4 GB
179	Ornith-1.0-9B ornith-ai · text-generation	<0.1 M	—	✓ mit	1.2 M	21.2 GB
180	Qwen2.5-Coder-14B-Instruct-AWQ Qwen · text-generation	14.8 B	33 K	✓ apache-2.0	1.1 M	13.7 GB
181	Qwen3.6-27B-MTP-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	1.1 M	14.3 GB
182	wav2vec2-xls-r-300m-bengali arijitx · ASR	300 M	—	✓ apache-2.0	1.1 M	1.2 GB
183	Qwen3-VL-Embedding-2B Qwen · sentence-similarity	2.1 B	—	✓ apache-2.0	1.1 M	5.5 GB
184	wav2vec2-xls-r-parlaspeech-hr classla · ASR	320 M	—	unknown	1.1 M	1.9 GB
185	medgemma-4b-it google · image-text-to-text · gated	4.3 B	—	other	1.1 M	10.6 GB
186	Qwen3.6-27B-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	1.1 M	14.1 GB
187	clipseg-rd64-refined CIDAS · image-segmentation	150 M	—	✓ apache-2.0	1.1 M	1.2 GB
188	surya-ocr-2-gguf datalab-to · image-text-to-text	—	—	⚠ openrail	1.1 M	1.9 GB
189	UAE-Large-V1 WhereIsAI · feature-extraction	340 M	512	✓ mit	1.1 M	2.0 GB
190	robertuito-sentiment-analysis pysentimiento · text-classification	110 M	128	unknown	1.1 M	1.0 GB
191	fairface_age_image_detection dima806 · image-classification	90 M	—	✓ apache-2.0	1.1 M	2.4 GB
192	Muse-Glimmer-30B-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	1.1 M	12.3 GB
193	Bonsai-27B-mlx-1bit prism-ml · text-generation	1.7 B	—	✓ apache-2.0	1.1 M	6.4 GB
194	PP-DocLayoutV3_safetensors PaddlePaddle · object-detection	30 M	—	✓ apache-2.0	1.1 M	0.7 GB
195	gte-small thenlper · sentence-similarity	30 M	512	✓ mit	1.1 M	0.6 GB
196	Ternary-Bonsai-27B-mlx-2bit prism-ml · text-generation	2.6 B	—	✓ apache-2.0	1.1 M	10.2 GB
197	parakeet-tdt-0.6b-v2 mlx-community · ASR	620 M	—	✓ cc-by-4.0	1.1 M	3.3 GB
198	table-transformer-structure-recognition microsoft · object-detection	30 M	1 K	✓ mit	1.1 M	0.6 GB
199	bge-micro-v2 TaylorAI · sentence-similarity	20 M	512	✓ mit	1.0 M	0.5 GB
200	Qwen3.6-35B-A3B-MTP-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	1.0 M	13.0 GB

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