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1,054 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.

Task
All text-generation 410 text-to-image 153 ASR 92 image-text-to-text 89 sentence-similarity 61 feature-extraction 47 translation 47 text-classification 42 image-classification 34 token-classification 27 text-to-speech 12 audio-classification 11 object-detection 11 summarization 9 image-segmentation 9
Runs on
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
Licence
Size
$
620 models
#ModelParamsContextCommercial use30dOn RTX 4070 · 16 GB
101 parakeet-tdt-0.6b-v3 mlx-community · ASR 630 M — ✓ cc-by-4.0 1.8 M 3.4 GB
102 filipino-wav2vec2-l-xls-r-300m-official Khalsuu · ASR 300 M — ✓ apache-2.0 1.8 M 1.2 GB
103 gemma-3-4b-it google · image-text-to-text · gated 4.3 B — ⚠ gemma 1.8 M 10.6 GB
104 Qwen3-8B-AWQ Qwen · text-generation 8.2 B 41 K ✓ apache-2.0 1.8 M 8.4 GB
105 tf_efficientnetv2_s.in21k_ft_in1k timm · image-classification 20 M — ✓ apache-2.0 1.8 M 0.6 GB
106 paraphrase-mpnet-base-v2 sentence-transformers · sentence-similarity 110 M 512 ✓ apache-2.0 1.7 M 1.0 GB
107 nomic-embed-text-v2-moe nomic-ai · sentence-similarity 480 M — ✓ apache-2.0 1.7 M 2.7 GB
108 wav2vec2-large-xls-r-300m-Urdu kingabzpro · ASR 320 M — ✓ apache-2.0 1.7 M 1.9 GB
109 whisper-tiny openai · ASR 40 M — ✓ apache-2.0 1.7 M 0.7 GB
110 Qwen2-VL-7B-Instruct-AWQ Qwen · image-text-to-text 8.3 B 33 K ✓ apache-2.0 1.6 M 9.4 GB
111 e5-large-v2 intfloat · sentence-similarity 340 M 512 ✓ mit 1.6 M 2.0 GB
112 Qwen2.5-0.5B Qwen · text-generation 490 M 33 K ✓ apache-2.0 1.6 M 1.7 GB
113 multilingual-e5-large-instruct intfloat · feature-extraction 560 M 512 ✓ mit 1.6 M 1.8 GB
114 multi-qa-mpnet-base-dot-v1 sentence-transformers · sentence-similarity 110 M 512 unknown 1.6 M 1.0 GB
115 whisper-base openai · ASR 70 M — ✓ apache-2.0 1.6 M 0.8 GB
116 parakeet-unified-en-0.6b-gguf handy-computer · ASR — — ✓ cc-by-4.0 1.6 M 1.0 GB
117 paraphrase-MiniLM-L6-v2 sentence-transformers · sentence-similarity 20 M 512 ✓ apache-2.0 1.5 M 0.6 GB
118 Qwen3-4B-Base Qwen · text-generation 4.0 B 33 K ✓ apache-2.0 1.5 M 10.0 GB
119 Qwen3.5-9B-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 1.5 M 5.2 GB
120 Qwen3-1.7B-Base Qwen · text-generation 1.7 B 33 K ✓ apache-2.0 1.5 M 4.5 GB
121 Qwen3.8-Flash-Next-GGUF unsloth · image-text-to-text — — other 1.5 M 3.6 GB
122 SmolLM2-135M-Instruct HuggingFaceTB · text-generation 130 M 8 K ✓ apache-2.0 1.5 M 0.8 GB
123 Ternary-Bonsai-2-27B-gguf prism-ml · text-generation 27.0 B — ✓ apache-2.0 1.5 M 5.2 GB
124 koelectra-small-v3-nsmc daekeun-ml · text-classification 10 M 512 ✓ mit 1.5 M 0.6 GB
125 SapBERT-from-PubMedBERT-fulltext cambridgeltl · feature-extraction 110 M 512 ✓ apache-2.0 1.5 M 1.0 GB
126 OTel-LLM-E4B-IT farbodtavakkoli · text-generation 4.0 B — ✓ apache-2.0 1.5 M 9.9 GB
127 Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF DavidAU · image-text-to-text — — ✓ apache-2.0 1.5 M 5.9 GB
128 wav2vec2-base-960h facebook · ASR 90 M — ✓ apache-2.0 1.5 M 0.9 GB
129 TinyLlama-1.1B-Chat-v1.0 TinyLlama · text-generation 1.1 B 2 K ✓ apache-2.0 1.5 M 3.1 GB
130 Ornith-1.5-397B-GGUF ornith-ai · text-generation — — ✓ mit 1.4 M 1.5 GB
131 gender-classification rizvandwiki · image-classification 90 M — unknown 1.4 M 0.9 GB
132 locate-anything.cpp-gguf mudler · object-detection 3.8 B — other 1.4 M 6.3 GB
133 bert-base-NER dslim · token-classification 110 M 512 ✓ mit 1.4 M 1.0 GB
134 gte-multilingual-base Alibaba-NLP · sentence-similarity 310 M 8 K ✓ apache-2.0 1.4 M 1.2 GB
135 wav2vec2-xls-r-300m-mixed mesolitica · ASR 300 M — unknown 1.4 M 1.2 GB
136 OpenELM-1_1B-Instruct apple · text-generation 1.1 B — apple-amlr 1.4 M 3.0 GB
137 Wav2Vec2-large-xlsr-hindi theainerd · ASR 320 M — unknown 1.4 M 1.9 GB
138 bart-large-cnn facebook · summarization 410 M 1 K ✓ mit 1.3 M 2.3 GB
139 Unlimited-OCR-AWQ sahilchachra · image-text-to-text 3.4 B 33 K ✓ mit 1.3 M 4.1 GB
140 OmniVoice k2-fsa · text-to-speech 610 M — unknown 1.3 M 4.2 GB
141 wav2vec2-xls-r-300m-cs-250 comodoro · ASR 320 M — ✓ apache-2.0 1.3 M 1.9 GB
142 PowerMoE-3b ibm-research · text-generation 3.4 B 4 K ✓ apache-2.0 1.3 M 15.9 GB
143 wav2vec2-xls-r-300m-hebrew imvladikon · ASR 320 M — unknown 1.3 M 1.9 GB
144 gpt2-large openai-community · text-generation 810 M — ✓ mit 1.3 M 4.2 GB
145 Qwen3.6-35B-A3B-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 1.3 M 11.6 GB
146 SmolVLM2-500M-Video-Instruct HuggingFaceTB · image-text-to-text 510 M — ✓ apache-2.0 1.3 M 2.8 GB
147 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
148 Qwen3.8-27B-OBLITERATED OBLITERATUS · text-generation 27.8 B — ✓ apache-2.0 1.3 M 5.7 GB
149 surya-ocr-2 datalab-to · image-text-to-text 690 M — ⚠ openrail 1.2 M 2.1 GB
150 nb-wav2vec2-1b-nynorsk NbAiLab · ASR 960 M — ✓ apache-2.0 1.2 M 4.9 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.