1,000 models · refreshed nightly

Models that run on RTX 4070 · 16 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

584 models

#	Model	Params	Context	Commercial use	30d	On RTX 4070 · 16 GB
151	LFM2.5-2.6B-GGUF LiquidAI · text-generation	—	—	other	1.2 M	2.3 GB
152	surya-ocr-2 datalab-to · image-text-to-text	690 M	—	⚠ openrail	1.2 M	2.1 GB
153	PowerMoE-3b ibm-research · text-generation	3.4 B	4 K	✓ apache-2.0	1.2 M	15.9 GB
154	whisper-tiny Xenova · ASR	40 M	—	✓ apache-2.0	1.2 M	0.6 GB
155	pythia-70m-deduped EleutherAI · text-generation	100 M	2 K	✓ apache-2.0	1.2 M	0.7 GB
156	Qwen3.8-27B-GGUF ggml-org · image-text-to-text	27.0 B	—	✓ apache-2.0	1.2 M	6.4 GB
157	Qwen2.5-Coder-14B-Instruct-AWQ Qwen · text-generation	14.8 B	33 K	✓ apache-2.0	1.1 M	13.7 GB
158	Qwen3.6-27B-MTP-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	1.1 M	14.3 GB
159	wav2vec2-xls-r-300m-bengali arijitx · ASR	300 M	—	✓ apache-2.0	1.1 M	1.2 GB
160	Qwen3-VL-Embedding-2B Qwen · sentence-similarity	2.1 B	—	✓ apache-2.0	1.1 M	5.5 GB
161	wav2vec2-xls-r-parlaspeech-hr classla · ASR	320 M	—	unknown	1.1 M	1.9 GB
162	medgemma-4b-it google · image-text-to-text · gated	4.3 B	—	other	1.1 M	10.6 GB
163	Qwen3.6-27B-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	1.1 M	14.1 GB
164	clipseg-rd64-refined CIDAS · image-segmentation	150 M	—	✓ apache-2.0	1.1 M	1.2 GB
165	surya-ocr-2-gguf datalab-to · image-text-to-text	—	—	⚠ openrail	1.1 M	1.9 GB
166	UAE-Large-V1 WhereIsAI · feature-extraction	340 M	512	✓ mit	1.1 M	2.0 GB
167	robertuito-sentiment-analysis pysentimiento · text-classification	110 M	128	unknown	1.1 M	1.0 GB
168	fairface_age_image_detection dima806 · image-classification	90 M	—	✓ apache-2.0	1.1 M	2.4 GB
169	Muse-Glimmer-30B-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	1.1 M	12.3 GB
170	Bonsai-27B-mlx-1bit prism-ml · text-generation	1.7 B	—	✓ apache-2.0	1.1 M	6.4 GB
171	PP-DocLayoutV3_safetensors PaddlePaddle · object-detection	30 M	—	✓ apache-2.0	1.1 M	0.7 GB
172	gte-small thenlper · sentence-similarity	30 M	512	✓ mit	1.1 M	0.6 GB
173	Ternary-Bonsai-27B-mlx-2bit prism-ml · text-generation	2.6 B	—	✓ apache-2.0	1.1 M	10.2 GB
174	parakeet-tdt-0.6b-v2 mlx-community · ASR	620 M	—	✓ cc-by-4.0	1.1 M	3.3 GB
175	table-transformer-structure-recognition microsoft · object-detection	30 M	1 K	✓ mit	1.1 M	0.6 GB
176	bge-micro-v2 TaylorAI · sentence-similarity	20 M	512	✓ mit	1.0 M	0.5 GB
177	Qwen3.6-35B-A3B-MTP-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	1.0 M	13.0 GB
178	Llama-3.1-8B-Instruct-4bit mlx-community · text-generation	1.3 B	131 K	⚠ llama3.1	1.0 M	5.7 GB
179	1 unslothai · feature-extraction	—	2 K	unknown	1.0 M	0.5 GB
180	nb-wav2vec2-1b-bokmaal-v2 NbAiLab · ASR	960 M	—	✓ apache-2.0	1.0 M	4.9 GB
181	nllb-200-distilled-600M facebook · translation	600 M	1 K	✗ cc-by-nc-4.0	1.0 M	1.9 GB
182	e5-mistral-7b-instruct-bnb-4bit gabor-hosu · feature-extraction	7.3 B	33 K	✓ mit	1.0 M	5.8 GB
183	Qwen3-TTS-12Hz-0.6B-CustomVoice Qwen · text-to-speech	910 M	—	✓ apache-2.0	1.0 M	3.4 GB
184	distiluse-base-multilingual-cased-v1 sentence-transformers · sentence-similarity	130 M	512	✓ apache-2.0	1.0 M	1.1 GB
185	glm-4-9b-chat-IMat-GGUF legraphista · text-generation	—	—	other	1.0 M	3.9 GB
186	w2v-xls-r-uk Yehor · ASR	320 M	—	✓ apache-2.0	1.0 M	1.9 GB
187	distilbert-base-multilingual-cased-sentiments-student lxyuan · text-classification	140 M	512	✓ apache-2.0	1.0 M	1.1 GB
188	gte-large-en-v1.5 Alibaba-NLP · sentence-similarity	430 M	8 K	✓ apache-2.0	1.0 M	2.5 GB
189	JiRackUltra_14b CMSManhattan · text-generation	14.8 B	131 K	✓ mit	1.0 M	9.1 GB
190	BiRefNet ZhengPeng7 · image-segmentation	220 M	—	✓ mit	998 K	1.0 GB
191	text2vec-base-chinese shibing624 · sentence-similarity	100 M	512	✓ apache-2.0	995 K	1.0 GB
192	Qwen3.5-9B-AWQ QuantTrio · image-text-to-text	9.7 B	—	✓ apache-2.0	984 K	15.6 GB
193	turn-detector livekit · text-classification	130 M	8 K	other	978 K	1.1 GB
194	endless-frontier_BigBang-v1-GGUF bartowski · image-text-to-text	—	—	✓ apache-2.0	978 K	11.8 GB
195	wav2vec2-large-xlsr-korean kresnik · ASR	320 M	—	✓ apache-2.0	971 K	1.9 GB
196	roberta-base-go_emotions SamLowe · text-classification	120 M	512	✓ mit	962 K	1.1 GB
197	cohere-transcribe-03-2026-gguf handy-computer · ASR	—	—	✓ apache-2.0	961 K	2.2 GB
198	gemma-4-26B-A4B-it-GGUF unsloth · image-text-to-text	—	—	✓ apache-2.0	952 K	11.4 GB
199	F5-TTS SWivid · text-to-speech	—	—	✗ cc-by-nc-4.0	946 K	5.0 GB
200	privacy-filter-nemotron-GGUF LocalAI-io · token-classification	—	—	✓ apache-2.0	944 K	2.3 GB

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