1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on RTX 4090 · 24 GB
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | On RTX 4090 · 24 GB |
|---|---|---|---|---|---|---|
| 251 | repeat | — | — | unknown | 812 K | 0.5 GB |
| 252 | Kokoro-82M-v1.0-ONNX | 82 M | — | ✓ apache-2.0 | 808 K | 0.7 GB |
| 253 | gemma-2-9b-it-AWQ-INT4 | 9.2 B | 8 K | ⚠ gemma | 803 K | 8.7 GB |
| 254 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 795 K | 1.1 GB |
| 255 | wide_resnet50_2.racm_in1k | 70 M | — | ✓ apache-2.0 | 795 K | 0.8 GB |
| 256 | wav2vec2-xls-r-300m-sk-cv8 | 300 M | — | ✓ apache-2.0 | 786 K | 1.2 GB |
| 257 | nb-wav2vec2-1b-nynorsk | 960 M | — | ✓ apache-2.0 | 775 K | 4.9 GB |
| 258 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 769 K | 7.8 GB |
| 259 | Qwen-Image-2.1-Turbo-Uncensored-GGUF | 8.8 B | — | ✓ apache-2.0 | 761 K | 5.5 GB |
| 260 | ruri-v3-310m | 310 M | 8 K | ✓ apache-2.0 | 759 K | 1.9 GB |
| 261 | yolos-small | 30 M | — | ✓ apache-2.0 | 751 K | 0.6 GB |
| 262 | distil-large-v3 | 760 M | — | ✓ mit | 747 K | 5.6 GB |
| 263 | Qwen2.5-7B-Instruct-GGUF | 7.0 B | 33 K | ✓ apache-2.0 | 738 K | 4.9 GB |
| 264 | Qwen2.5-Math-PRM-7B | 7.6 B | 4 K | other | 738 K | 18.4 GB |
| 265 | e5-large-v2 | 340 M | 512 | ✓ mit | 737 K | 2.0 GB |
| 266 | nomic-embed-text-v2-moe | 480 M | — | ✓ apache-2.0 | 736 K | 2.7 GB |
| 267 | Qwen3-TTS-12Hz-0.6B-CustomVoice | 910 M | — | ✓ apache-2.0 | 734 K | 3.4 GB |
| 268 | pythia-70m-deduped | 100 M | 2 K | ✓ apache-2.0 | 729 K | 0.7 GB |
| 269 | bert-large-cased-finetuned-conll03-english | 330 M | 512 | unknown | 719 K | 2.0 GB |
| 270 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 719 K | 3.2 GB |
| 271 | VibeVoice-ASR | 8.7 B | — | ✓ mit | 715 K | 20.9 GB |
| 272 | Underdog-Saluki-27B-1.0 | 27.0 B | — | ✗ cc-by-nc-4.0 | 710 K | 5.2 GB |
| 273 | resnet50.ram_in1k | 30 M | — | ✓ apache-2.0 | 709 K | 0.6 GB |
| 274 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 707 K | 0.9 GB |
| 275 | resnet34.a1_in1k | 20 M | — | ✓ apache-2.0 | 707 K | 0.6 GB |
| 276 | FRIDA | 823 M | — | ✓ mit | 698 K | 4.2 GB |
| 277 | whisper-large-v3-gguf | 1.5 B | — | ✓ apache-2.0 | 692 K | 1.8 GB |
| 278 | Qwen3-VL-Embedding-8B | 8.1 B | — | ✓ apache-2.0 | 690 K | 19.6 GB |
| 279 | JEV-9B | 9.0 B | 262 K | ✓ apache-2.0 | 690 K | 22.1 GB |
| 280 | Qwen2.5-32B-Instruct-GGUF | 32.0 B | 33 K | ✓ apache-2.0 | 676 K | 15.2 GB |
| 281 | wav2vec2-xls-r-300m-bengali | 300 M | — | ✓ apache-2.0 | 676 K | 1.2 GB |
| 282 | nsfw-image-detection-384 | 5.6 M | — | ✓ apache-2.0 | 674 K | 0.5 GB |
| 283 | whisper-large-v3-turbo-gguf | 810 M | — | ✓ mit | 671 K | 1.2 GB |
| 284 | Diplodocus-preview-GGUF | — | — | ✓ apache-2.0 | 663 K | 0.5 GB |
| 285 | whisper-medium-gguf | 760 M | — | ✓ apache-2.0 | 662 K | 1.2 GB |
| 286 | noobai-XL-1.1 | 2.6 B | — | other | 662 K | 16.3 GB |
| 287 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 661 K | 0.6 GB |
| 288 | convnext_tiny.in12k_ft_in1k | 30 M | — | ✓ apache-2.0 | 651 K | 0.6 GB |
| 289 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 650 K | 0.7 GB |
| 290 | wikineural-multilingual-ner | 180 M | 512 | ✗ cc-by-nc-sa-4.0 | 649 K | 1.3 GB |
| 291 | Qwen3-ASR-0.6B | 940 M | — | ✓ apache-2.0 | 645 K | 2.7 GB |
| 292 | LFM2.5-24B-A2B-Uncensored-GGUF | 24.0 B | 131 K | other | 639 K | 4.1 GB |
| 293 | MiniCPM5-2B-DSpark | 324 M | 131 K | ✓ apache-2.0 | 631 K | 1.3 GB |
| 294 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 629 K | 4.5 GB |
| 295 | gpt-oss-20b-GGUF | — | 131 K | ✓ apache-2.0 | 624 K | 13.1 GB |
| 296 | MiniCPM-SALA-AWQ-8bit | 3.1 B | 524 K | ✓ apache-2.0 | 621 K | 12.7 GB |
| 297 | embeddinggemma-300m-ONNX | 300 M | 2 K | ⚠ gemma | 617 K | 1.2 GB |
| 298 | Qwen3-0.6B-Base | 600 M | 33 K | ✓ apache-2.0 | 612 K | 1.9 GB |
| 299 | all-roberta-large-v1 | 360 M | 512 | ✓ apache-2.0 | 612 K | 2.1 GB |
| 300 | Qwen3-TTS-12Hz-1.7B-VoiceDesign | 1.9 B | — | ✓ apache-2.0 | 608 K | 5.8 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.