1,011 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.
| # | Model | Params | Context | Commercial use | 30d | On RTX 3060 · 12 GB |
|---|---|---|---|---|---|---|
| 151 | distiluse-base-multilingual-cased-v2 | 130 M | 512 | ✓ apache-2.0 | 1.1 M | 1.1 GB |
| 152 | wav2vec2-large-voxrex-swedish | 320 M | — | ✓ cc0-1.0 | 1.1 M | 1.9 GB |
| 153 | bge-small-en-v1.5 | 30 M | 512 | ✓ mit | 1.1 M | 0.7 GB |
| 154 | llava-onevision-qwen2-0.5b-ov-hf | 890 M | — | ✓ apache-2.0 | 1.1 M | 2.6 GB |
| 155 | nemotron-3.5-asr-streaming-0.6b | 640 M | — | other | 1.0 M | 1.4 GB |
| 156 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 1.0 M | 0.6 GB |
| 157 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.0 M | 1.1 GB |
| 158 | Qwen3.5-9B-GGUF | — | — | ✓ apache-2.0 | 1.0 M | 5.2 GB |
| 159 | cohere-transcribe-03-2026 | 2.1 B | — | ✓ apache-2.0 | 1.0 M | 5.4 GB |
| 160 | cohere-transcribe-03-2026-gguf | — | — | ✓ apache-2.0 | 1,000 K | 2.2 GB |
| 161 | Qwen2-0.5B | 490 M | 131 K | ✓ apache-2.0 | 998 K | 1.7 GB |
| 162 | e5-base | 110 M | 512 | ✓ mit | 990 K | 1.0 GB |
| 163 | repeat | — | — | unknown | 975 K | 0.5 GB |
| 164 | roberta-base-go_emotions | 120 M | 512 | ✓ mit | 968 K | 1.1 GB |
| 165 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 961 K | 4.5 GB |
| 166 | MiniCPM-V-4.6 | 1.3 B | — | ✓ apache-2.0 | 942 K | 3.6 GB |
| 167 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 940 K | 1.0 GB |
| 168 | Gemma-4-E4B-Uncensored-HauhauCS-Aggressive | — | — | ⚠ gemma | 937 K | 5.4 GB |
| 169 | UAE-Large-V1 | 340 M | 512 | ✓ mit | 928 K | 2.0 GB |
| 170 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 926 K | 3.0 GB |
| 171 | LocateAnything-3B | 3.8 B | — | other | 923 K | 9.5 GB |
| 172 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 923 K | 0.9 GB |
| 173 | Qwythos-9B-Claude-Mythos-5-1M-GGUF | — | — | ✓ apache-2.0 | 922 K | 7.0 GB |
| 174 | InternVL2-1B | 940 M | — | ✓ mit | 920 K | 2.7 GB |
| 175 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 917 K | 1.1 GB |
| 176 | Qwen2.5-1.5B-Instruct-AWQ | 1.8 B | 33 K | ✓ apache-2.0 | 913 K | 2.5 GB |
| 177 | Phi-tiny-MoE-instruct | 3.8 B | 4 K | ✓ mit | 907 K | 9.3 GB |
| 178 | opus-mt-fr-en | 80 M | 512 | ✓ apache-2.0 | 900 K | 0.8 GB |
| 179 | VoxCPM2 | 2.3 B | — | ✓ apache-2.0 | 900 K | 5.9 GB |
| 180 | gte-large | 340 M | 512 | ✓ mit | 897 K | 1.3 GB |
| 181 | dreamshaper-7 | 860 M | — | ⚠ creativeml-openrail-m | 895 K | 9.7 GB |
| 182 | Qwen3.6-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 895 K | 11.6 GB |
| 183 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 882 K | 0.6 GB |
| 184 | OmniVoice | 610 M | — | unknown | 877 K | 4.2 GB |
| 185 | wav2vec2-large-xlsr-korean | 320 M | — | ✓ apache-2.0 | 877 K | 1.9 GB |
| 186 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 877 K | 1.0 GB |
| 187 | deepseek-v4-gguf | — | — | ✓ mit | 875 K | 4.7 GB |
| 188 | SmolLM3-3B | 3.1 B | 66 K | ✓ apache-2.0 | 872 K | 7.7 GB |
| 189 | wav2vec2-large-xls-r-300m-Urdu | 320 M | — | ✓ apache-2.0 | 867 K | 1.9 GB |
| 190 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 863 K | 4.1 GB |
| 191 | mamba-130m-hf | 130 M | — | unknown | 846 K | 1.1 GB |
| 192 | Qwen2.5-1.5B-quantized.w8a8 | 1.8 B | 33 K | ✓ apache-2.0 | 839 K | 3.2 GB |
| 193 | llama-nemotron-embed-1b-v2 | 1.2 B | 131 K | other | 828 K | 3.4 GB |
| 194 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 824 K | 1.0 GB |
| 195 | gte-small | 30 M | 512 | ✓ mit | 823 K | 0.6 GB |
| 196 | PP-DocLayoutV3_safetensors | 30 M | — | ✓ apache-2.0 | 822 K | 0.7 GB |
| 197 | Llama-3.2-1B-Instruct-FP8 | 1.5 B | 131 K | ⚠ llama3.2 | 799 K | 3.0 GB |
| 198 | Kimi-K3-DSpark | 2.3 B | 1.0 M | unknown | 798 K | 5.8 GB |
| 199 | mimi | 100 M | 8 K | ✓ cc-by-4.0 | 798 K | 0.9 GB |
| 200 | Flux2-Klein-9B-True-V2 | — | — | other | 792 K | 6.8 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.