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1,054 models · refreshed nightly

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 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
$
573 models
#ModelParamsContextCommercial use30dOn RTX 3060 · 12 GB
01 all-MiniLM-L6-v2 sentence-transformers · sentence-similarity 20 M 512 ✓ apache-2.0 254.1 M 0.6 GB
02 bge-small-en-v1.5 BAAI · feature-extraction 30 M 512 ✓ mit 64.5 M 0.7 GB
03 paraphrase-multilingual-MiniLM-L12-v2 sentence-transformers · sentence-similarity 120 M 512 ✓ apache-2.0 45.9 M 1.0 GB
04 t5-small google-t5 · translation 60 M — ✓ apache-2.0 24.9 M 0.8 GB
05 Qwen3-0.6B Qwen · text-generation 750 M 41 K ✓ apache-2.0 23.0 M 2.3 GB
06 all-mpnet-base-v2 sentence-transformers · sentence-similarity 110 M 512 ✓ apache-2.0 22.6 M 1.0 GB
07 mobilenetv3_small_100.lamb_in1k timm · image-classification <0.1 M — ✓ apache-2.0 18.0 M 0.5 GB
08 bge-reranker-v2-m3 BAAI · text-classification 570 M 8 K ✓ apache-2.0 17.6 M 3.1 GB
09 gpt2 openai-community · text-generation 140 M — ✓ mit 15.4 M 1.1 GB
10 nomic-embed-text-v1.5 nomic-ai · sentence-similarity 140 M 2 K ✓ apache-2.0 14.7 M 1.1 GB
11 efficientnet_b3.ra2_in1k timm · image-classification 10 M — ✓ apache-2.0 12.7 M 0.6 GB
12 multilingual-e5-small intfloat · sentence-similarity 120 M 512 ✓ mit 12.3 M 1.0 GB
13 Kokoro-82M hexgrad · text-to-speech 82 M — ✓ apache-2.0 11.6 M 0.7 GB
14 bge-large-en-v1.5 BAAI · feature-extraction 340 M 512 ✓ mit 11.4 M 2.0 GB
15 bge-base-en-v1.5 BAAI · feature-extraction 110 M 512 ✓ mit 10.5 M 1.0 GB
16 paraphrase-multilingual-mpnet-base-v2 sentence-transformers · sentence-similarity 280 M 512 ✓ apache-2.0 9.9 M 1.8 GB
17 Qwen3-Embedding-0.6B Qwen · feature-extraction 600 M 33 K ✓ apache-2.0 8.6 M 1.9 GB
18 Qwen2.5-0.5B-Instruct Qwen · text-generation 490 M 33 K ✓ apache-2.0 8.5 M 1.7 GB
19 clap-htsat-fused laion · audio-classification 150 M — ✓ apache-2.0 8.2 M 1.2 GB
20 multilingual-e5-base intfloat · sentence-similarity 280 M 512 ✓ mit 7.6 M 1.8 GB
21 opt-125m facebook · text-generation 125 M 2 K other 7.4 M 0.8 GB
22 Qwen2.5-1.5B-Instruct Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 7.2 M 4.1 GB
23 vit-base-patch16-224 google · image-classification 90 M — ✓ apache-2.0 7.2 M 0.9 GB
24 multilingual-e5-large intfloat · feature-extraction 560 M 512 ✓ mit 7.2 M 3.0 GB
25 Qwen3-4B Qwen · text-generation 4.0 B 41 K ✓ apache-2.0 7.1 M 10.0 GB
26 Llama-3.2-1B-Instruct meta-llama · text-generation · gated 1.2 B — ⚠ llama3.2 7.0 M 3.4 GB
27 Qwen3.5-4B Qwen · image-text-to-text 4.7 B — ✓ apache-2.0 6.9 M 11.5 GB
28 whisper-large-v3-turbo openai · ASR 810 M — ✓ mit 6.8 M 2.4 GB
29 granite-embedding-small-english-r2 ibm-granite · feature-extraction 50 M 8 K ✓ apache-2.0 6.3 M 0.6 GB
30 Ornith-1.5-9B-GGUF ornith-ai · text-generation — — ✓ mit 5.8 M 6.9 GB
31 bge-small-zh-v1.5 BAAI · feature-extraction 20 M 512 ✓ mit 5.1 M 0.6 GB
32 Qwen2.5-3B-Instruct Qwen · text-generation 3.1 B 33 K other 5.1 M 7.8 GB
33 Ornith-1.0-9B-GGUF deepreinforce-ai · text-generation — — ✓ mit 4.9 M 6.7 GB
34 Qwen3.5-2B Qwen · image-text-to-text 2.3 B — ✓ apache-2.0 4.8 M 5.8 GB
35 whisper-large-v3 openai · ASR 1.5 B — ✓ apache-2.0 4.7 M 10.9 GB
36 Prompt-Guard-86M meta-llama · text-classification · gated 280 M — ⚠ llama3.1 4.4 M 1.8 GB
37 audio.cpp-gguf audio-cpp · text-to-speech — — other 4.3 M 1.4 GB
38 bge-base-en-v1.5-course-recommender-v5 datasocietyco · sentence-similarity 110 M 512 unknown 4.2 M 1.0 GB
39 all-MiniLM-L12-v2 sentence-transformers · sentence-similarity 30 M 512 ✓ apache-2.0 4.2 M 0.7 GB
40 bge-reranker-base BAAI · text-classification 280 M 512 ✓ mit 4.0 M 1.8 GB
41 Qwen3-4B-Instruct-2507 Qwen · text-generation 4.0 B 262 K ✓ apache-2.0 4.0 M 10.0 GB
42 Qwen3-1.7B Qwen · text-generation 2.0 B 41 K ✓ apache-2.0 3.8 M 5.3 GB
43 Qwen3-VL-4B-Instruct Qwen · image-text-to-text 4.4 B — ✓ apache-2.0 3.7 M 10.9 GB
44 distilbert-base-uncased-finetuned-sst-2-english distilbert · text-classification 70 M 512 ✓ apache-2.0 3.7 M 0.8 GB
45 Kimi-K3-DSpark RadixArk · text-generation 2.3 B 1.0 M unknown 3.6 M 5.8 GB
46 Qwen2.5-7B-Instruct-AWQ Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 3.5 M 7.8 GB
47 NVIDIA-Nemotron-3-Nano-4B-BF16 nvidia · text-generation 4.0 B 262 K other 3.5 M 9.8 GB
48 pythia-160m EleutherAI · text-generation 210 M 2 K ✓ apache-2.0 3.5 M 0.9 GB
49 bert-large-cased-finetuned-conll03-english dbmdz · token-classification 330 M 512 unknown 3.4 M 2.0 GB
50 nsfw_image_detection Falconsai · image-classification 90 M — ✓ apache-2.0 3.4 M 0.9 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.