1,000 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 | wav2vec2-xls-r-parlaspeech-hr | 320 M | — | unknown | 1.1 M | 1.9 GB |
| 152 | medgemma-4b-it | 4.3 B | — | other | 1.1 M | 10.6 GB |
| 153 | clipseg-rd64-refined | 150 M | — | ✓ apache-2.0 | 1.1 M | 1.2 GB |
| 154 | surya-ocr-2-gguf | — | — | ⚠ openrail | 1.1 M | 1.9 GB |
| 155 | UAE-Large-V1 | 340 M | 512 | ✓ mit | 1.1 M | 2.0 GB |
| 156 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 1.1 M | 1.0 GB |
| 157 | fairface_age_image_detection | 90 M | — | ✓ apache-2.0 | 1.1 M | 2.4 GB |
| 158 | Bonsai-27B-mlx-1bit | 1.7 B | — | ✓ apache-2.0 | 1.1 M | 6.4 GB |
| 159 | PP-DocLayoutV3_safetensors | 30 M | — | ✓ apache-2.0 | 1.1 M | 0.7 GB |
| 160 | gte-small | 30 M | 512 | ✓ mit | 1.1 M | 0.6 GB |
| 161 | Ternary-Bonsai-27B-mlx-2bit | 2.6 B | — | ✓ apache-2.0 | 1.1 M | 10.2 GB |
| 162 | parakeet-tdt-0.6b-v2 | 620 M | — | ✓ cc-by-4.0 | 1.1 M | 3.3 GB |
| 163 | table-transformer-structure-recognition | 30 M | 1 K | ✓ mit | 1.1 M | 0.6 GB |
| 164 | bge-micro-v2 | 20 M | 512 | ✓ mit | 1.0 M | 0.5 GB |
| 165 | Llama-3.1-8B-Instruct-4bit | 1.3 B | 131 K | ⚠ llama3.1 | 1.0 M | 5.7 GB |
| 166 | 1 | — | 2 K | unknown | 1.0 M | 0.5 GB |
| 167 | nb-wav2vec2-1b-bokmaal-v2 | 960 M | — | ✓ apache-2.0 | 1.0 M | 4.9 GB |
| 168 | nllb-200-distilled-600M | 600 M | 1 K | ✗ cc-by-nc-4.0 | 1.0 M | 1.9 GB |
| 169 | e5-mistral-7b-instruct-bnb-4bit | 7.3 B | 33 K | ✓ mit | 1.0 M | 5.8 GB |
| 170 | Qwen3-TTS-12Hz-0.6B-CustomVoice | 910 M | — | ✓ apache-2.0 | 1.0 M | 3.4 GB |
| 171 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.0 M | 1.1 GB |
| 172 | glm-4-9b-chat-IMat-GGUF | — | — | other | 1.0 M | 3.9 GB |
| 173 | w2v-xls-r-uk | 320 M | — | ✓ apache-2.0 | 1.0 M | 1.9 GB |
| 174 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 1.0 M | 1.1 GB |
| 175 | gte-large-en-v1.5 | 430 M | 8 K | ✓ apache-2.0 | 1.0 M | 2.5 GB |
| 176 | JiRackUltra_14b | 14.8 B | 131 K | ✓ mit | 1.0 M | 9.1 GB |
| 177 | BiRefNet | 220 M | — | ✓ mit | 998 K | 1.0 GB |
| 178 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 995 K | 1.0 GB |
| 179 | turn-detector | 130 M | 8 K | other | 978 K | 1.1 GB |
| 180 | endless-frontier_BigBang-v1-GGUF | — | — | ✓ apache-2.0 | 978 K | 11.8 GB |
| 181 | wav2vec2-large-xlsr-korean | 320 M | — | ✓ apache-2.0 | 971 K | 1.9 GB |
| 182 | roberta-base-go_emotions | 120 M | 512 | ✓ mit | 962 K | 1.1 GB |
| 183 | cohere-transcribe-03-2026-gguf | — | — | ✓ apache-2.0 | 961 K | 2.2 GB |
| 184 | gemma-4-26B-A4B-it-GGUF | — | — | ✓ apache-2.0 | 952 K | 11.4 GB |
| 185 | F5-TTS | — | — | ✗ cc-by-nc-4.0 | 946 K | 5.0 GB |
| 186 | privacy-filter-nemotron-GGUF | — | — | ✓ apache-2.0 | 944 K | 2.3 GB |
| 187 | wav2vec2-xls-r-300m-ftspeech | 320 M | — | other | 944 K | 1.9 GB |
| 188 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 941 K | 1.0 GB |
| 189 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 937 K | 0.9 GB |
| 190 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 930 K | 7.8 GB |
| 191 | Qwen3-4B-Instruct-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 930 K | 6.9 GB |
| 192 | rtdetr_r101vd_coco_o365 | 80 M | — | ✓ apache-2.0 | 911 K | 0.9 GB |
| 193 | repeat | — | — | unknown | 908 K | 0.5 GB |
| 194 | dreamshaper-7 | 860 M | — | ⚠ creativeml-openrail-m | 900 K | 9.7 GB |
| 195 | snowflake-arctic-embed-l-v2.0 | 570 M | 8 K | ✓ apache-2.0 | 889 K | 3.1 GB |
| 196 | Llama-3.2-1B | 1.2 B | — | ⚠ llama3.2 | 869 K | 3.4 GB |
| 197 | ced-gguf | — | — | ✓ apache-2.0 | 866 K | 0.6 GB |
| 198 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 862 K | 0.6 GB |
| 199 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 860 K | 4.1 GB |
| 200 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 852 K | 1.3 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.