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Models that run on RTX 3060 · 12 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 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
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
$
539 models
#ModelParamsContextCommercial use30dOn RTX 3060 · 12 GB
201 wav2vec2-large-xlsr-mvc-swahili eddiegulay · ASR 320 M — ✓ apache-2.0 845 K 1.9 GB
202 e5-base-v2 intfloat · sentence-similarity 110 M 512 ✓ mit 829 K 1.0 GB
203 Qwen3-0.6B-Base Qwen · text-generation 600 M 33 K ✓ apache-2.0 816 K 1.9 GB
204 POCKET-35B-GGUF FINAL-Bench · text-generation — — ✓ apache-2.0 812 K 9.6 GB
205 Ornith-1.5-9B-NVFP4 ornith-ai · text-generation 6.7 B — ✓ mit 805 K 11.2 GB
206 multi-qa-MiniLM-L6-cos-v1 sentence-transformers · sentence-similarity 20 M 512 unknown 805 K 0.6 GB
207 OLMo-2-0425-1B allenai · text-generation 1.5 B 4 K ✓ apache-2.0 799 K 7.3 GB
208 Qwen3.8-4B-Distill-GGUF empero-ai · text-generation — — ✓ apache-2.0 793 K 3.6 GB
209 rorshark-vit-base amunchet · image-classification 90 M — ✓ apache-2.0 777 K 0.9 GB
210 Qwen3.8-2B-Distill-GGUF empero-ai · text-generation — — ✓ apache-2.0 772 K 1.9 GB
211 efficientnet_b0.ra_in1k timm · image-classification 10 M — ✓ apache-2.0 761 K 0.5 GB
212 yolos-small hustvl · object-detection 30 M — ✓ apache-2.0 760 K 0.6 GB
213 nemotron-3.5-asr-streaming-0.6b nvidia · ASR 640 M — other 752 K 1.4 GB
214 LaBSE sentence-transformers · sentence-similarity 470 M 512 ✓ apache-2.0 734 K 2.6 GB
215 bloomz-560m bigscience · text-generation 560 M — ⚠ bigscience-bloom-rail-1.0 724 K 1.8 GB
216 Kokoro-82M-v1.0-ONNX onnx-community · text-to-speech 82 M — ✓ apache-2.0 720 K 0.7 GB
217 ast-finetuned-audioset-10-10-0.4593 MIT · audio-classification 90 M — ✓ bsd-3-clause 719 K 0.9 GB
218 wav2vec2-large-robust-12-ft-emotion-msp-dim audeering · audio-classification 170 M — ✗ cc-by-nc-sa-4.0 713 K 1.3 GB
219 Qwen2-0.5B Qwen · text-generation 490 M 131 K ✓ apache-2.0 709 K 1.7 GB
220 resnet50.ram_in1k timm · image-classification 30 M — ✓ apache-2.0 709 K 0.6 GB
221 gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF yuxinlu1 · text-generation — — ✓ apache-2.0 708 K 1.4 GB
222 e5-base intfloat · sentence-similarity 110 M 512 ✓ mit 701 K 1.0 GB
223 Qwen3.8-27B-DFlash2-GGUF z-lab · text-generation — — ✓ apache-2.0 696 K 1.8 GB
224 Qwen3.8-9B-Distill-GGUF empero-ai · text-generation — — ✓ apache-2.0 693 K 6.9 GB
225 bert-base-multilingual-uncased-sentiment nlptown · text-classification 170 M 512 ✓ mit 689 K 1.3 GB
226 LaBSE setu4993 · sentence-similarity 471 M 512 ✓ apache-2.0 687 K 2.6 GB
227 wav2vec2-large-xlsr-53-gender-recognition-librispeech alefiury · audio-classification 320 M — ✓ apache-2.0 676 K 1.9 GB
228 paraphrase-multilingual-MiniLM-L12-v2 Xenova · feature-extraction 120 M 512 unknown 675 K 0.8 GB
229 wikineural-multilingual-ner Babelscape · token-classification 180 M 512 ✗ cc-by-nc-sa-4.0 675 K 1.3 GB
230 parakeet-ctc-1.1b nvidia · ASR 1.1 B — ✓ cc-by-4.0 672 K 2.0 GB
231 paraphrase-MiniLM-L3-v2 sentence-transformers · sentence-similarity 20 M 512 ✓ apache-2.0 668 K 0.6 GB
232 gte-Qwen2-1.5B-instruct Alibaba-NLP · sentence-similarity 1.8 B 131 K ✓ apache-2.0 665 K 8.6 GB
233 gemma-2-2b-it google · text-generation · gated 2.6 B — ⚠ gemma 663 K 6.6 GB
234 Ternary-Bonsai-27B-gguf prism-ml · text-generation — — ✓ apache-2.0 663 K 1.2 GB
235 Qwen3-TTS-12Hz-0.6B-Base Qwen · text-to-speech 910 M — ✓ apache-2.0 655 K 3.4 GB
236 audiobox-aesthetics facebook · audio-classification 100 M — ✓ cc-by-4.0 637 K 1.0 GB
237 nli-mpnet-base-v2 sentence-transformers · sentence-similarity 110 M 512 ✓ apache-2.0 635 K 1.0 GB
238 Nemotron-3-Embed-1B-BF16 nvidia · sentence-similarity 1.1 B 262 K other 633 K 3.2 GB
239 all-roberta-large-v1 sentence-transformers · sentence-similarity 360 M 512 ✓ apache-2.0 632 K 2.1 GB
240 Qwen2.5-Coder-7B-Instruct-AWQ Orion-zhen · text-generation 7.6 B 33 K ✓ apache-2.0 623 K 7.9 GB
241 RMBG-2.0 briaai · image-segmentation · gated 220 M — other 622 K 1.5 GB
242 gte-large thenlper · sentence-similarity 340 M 512 ✓ mit 616 K 1.3 GB
243 SmolLM3-3B-Base HuggingFaceTB · text-generation 3.1 B 66 K ✓ apache-2.0 615 K 7.7 GB
244 SmolLM3-3B HuggingFaceTB · text-generation 3.1 B 66 K ✓ apache-2.0 614 K 7.7 GB
245 EXAONE-3.5-7.8B-Instruct-AWQ LGAI-EXAONE · text-generation 7.8 B 33 K other 614 K 7.5 GB
246 MiniCPM5-1B openbmb · text-generation 1.1 B 131 K ✓ apache-2.0 611 K 3.0 GB
247 repvgg_a0.rvgg_in1k timm · image-classification 10 M — ✓ mit 606 K 0.5 GB
248 VieNeu-TTS-v3-Turbo pnnbao-ump · text-to-speech 130 M 1 K ✓ apache-2.0 605 K 1.1 GB
249 Qwen2.5-Coder-3B-Instruct Qwen · text-generation 3.1 B 33 K other 604 K 7.8 GB
250 Qwen2-1.5B-Instruct Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 601 K 4.1 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.