1,011 models · refreshed nightly
Models that run on RTX 4090 · 24 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 4090 · 24 GB |
|---|---|---|---|---|---|---|
| 201 | e5-base | 110 M | 512 | ✓ mit | 990 K | 1.0 GB |
| 202 | repeat | — | — | unknown | 975 K | 0.5 GB |
| 203 | roberta-base-go_emotions | 120 M | 512 | ✓ mit | 968 K | 1.1 GB |
| 204 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 961 K | 4.5 GB |
| 205 | Qwen3.6-27B-MLX-4bit | 4.7 B | — | ✓ apache-2.0 | 942 K | 18.9 GB |
| 206 | MiniCPM-V-4.6 | 1.3 B | — | ✓ apache-2.0 | 942 K | 3.6 GB |
| 207 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 940 K | 1.0 GB |
| 208 | Gemma-4-E4B-Uncensored-HauhauCS-Aggressive | — | — | ⚠ gemma | 937 K | 5.4 GB |
| 209 | UAE-Large-V1 | 340 M | 512 | ✓ mit | 928 K | 2.0 GB |
| 210 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 926 K | 3.0 GB |
| 211 | Qwen2.5-7B | 7.6 B | 131 K | ✓ apache-2.0 | 924 K | 18.4 GB |
| 212 | LocateAnything-3B | 3.8 B | — | other | 923 K | 9.5 GB |
| 213 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 923 K | 0.9 GB |
| 214 | Qwythos-9B-Claude-Mythos-5-1M-GGUF | — | — | ✓ apache-2.0 | 922 K | 7.0 GB |
| 215 | InternVL2-1B | 940 M | — | ✓ mit | 920 K | 2.7 GB |
| 216 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 917 K | 1.1 GB |
| 217 | gemma-4-26B-A4B-it-QAT-MLX-4bit | 4.6 B | — | ✓ apache-2.0 | 914 K | 18.4 GB |
| 218 | Qwen2.5-1.5B-Instruct-AWQ | 1.8 B | 33 K | ✓ apache-2.0 | 913 K | 2.5 GB |
| 219 | Phi-tiny-MoE-instruct | 3.8 B | 4 K | ✓ mit | 907 K | 9.3 GB |
| 220 | opus-mt-fr-en | 80 M | 512 | ✓ apache-2.0 | 900 K | 0.8 GB |
| 221 | VoxCPM2 | 2.3 B | — | ✓ apache-2.0 | 900 K | 5.9 GB |
| 222 | gte-large | 340 M | 512 | ✓ mit | 897 K | 1.3 GB |
| 223 | gemma-4-26B-A4B-it-NVFP4 | 15.1 B | — | ✓ apache-2.0 | 897 K | 20.8 GB |
| 224 | dreamshaper-7 | 860 M | — | ⚠ creativeml-openrail-m | 895 K | 9.7 GB |
| 225 | Qwen3.6-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 895 K | 11.6 GB |
| 226 | Qwen3.6-27B-MLX-5bit | 5.5 B | — | ✓ apache-2.0 | 892 K | 22.7 GB |
| 227 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 882 K | 0.6 GB |
| 228 | OmniVoice | 610 M | — | unknown | 877 K | 4.2 GB |
| 229 | wav2vec2-large-xlsr-korean | 320 M | — | ✓ apache-2.0 | 877 K | 1.9 GB |
| 230 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 877 K | 1.0 GB |
| 231 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 876 K | 12.1 GB |
| 232 | deepseek-v4-gguf | — | — | ✓ mit | 875 K | 4.7 GB |
| 233 | SmolLM3-3B | 3.1 B | 66 K | ✓ apache-2.0 | 872 K | 7.7 GB |
| 234 | wav2vec2-large-xls-r-300m-Urdu | 320 M | — | ✓ apache-2.0 | 867 K | 1.9 GB |
| 235 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 863 K | 4.1 GB |
| 236 | mamba-130m-hf | 130 M | — | unknown | 846 K | 1.1 GB |
| 237 | Qwen2.5-1.5B-quantized.w8a8 | 1.8 B | 33 K | ✓ apache-2.0 | 839 K | 3.2 GB |
| 238 | llama-nemotron-embed-1b-v2 | 1.2 B | 131 K | other | 828 K | 3.4 GB |
| 239 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 824 K | 1.0 GB |
| 240 | gte-small | 30 M | 512 | ✓ mit | 823 K | 0.6 GB |
| 241 | PP-DocLayoutV3_safetensors | 30 M | — | ✓ apache-2.0 | 822 K | 0.7 GB |
| 242 | Llama-3.2-1B-Instruct-FP8 | 1.5 B | 131 K | ⚠ llama3.2 | 799 K | 3.0 GB |
| 243 | Kimi-K3-DSpark | 2.3 B | 1.0 M | unknown | 798 K | 5.8 GB |
| 244 | mimi | 100 M | 8 K | ✓ cc-by-4.0 | 798 K | 0.9 GB |
| 245 | Flux2-Klein-9B-True-V2 | — | — | other | 792 K | 6.8 GB |
| 246 | Llama-2-7b-hf | 6.7 B | — | ⚠ llama2 | 779 K | 16.3 GB |
| 247 | vntl-llama3-8b-v2-gguf | — | — | ⚠ llama3 | 774 K | 6.8 GB |
| 248 | phi-2 | 2.8 B | 2 K | ✓ mit | 771 K | 7.0 GB |
| 249 | F5-TTS | — | — | ✗ cc-by-nc-4.0 | 770 K | 5.0 GB |
| 250 | pythia-70m-deduped | 100 M | 2 K | ✓ apache-2.0 | 769 K | 0.7 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.