1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
All models
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 | Min VRAM |
|---|---|---|---|---|---|---|
| 651 | convnextv2_large.fcmae_ft_in22k_in1k_384 | 200 M | — | ✗ cc-by-nc-4.0 | 327 K | from 1.4 GB |
| 652 | Jan-v3.5-4B-gguf | — | — | ✓ apache-2.0 | 327 K | from 2.8 GB |
| 653 | Ornith-1.5-9B-MLX-8bit | 9.0 B | — | unknown | 326 K | from 12.3 GB |
| 654 | Ornith-1.5-9B-MLX | 9.0 B | — | unknown | 326 K | from 21.5 GB |
| 655 | oneformer_cityscapes_swin_large | — | — | ✓ mit | 326 K | — |
| 656 | Flux-1-Schnell | 11.9 B | — | ✓ apache-2.0 | 325 K | from 47.4 GB |
| 657 | Qwen-Image | 20.4 B | — | ✓ apache-2.0 | 325 K | from 67.0 GB |
| 658 | Underdog-Saluki-27B-1.0-MTP-Abliterated-GGUF | 27.0 B | — | ✓ apache-2.0 | 325 K | from 13.7 GB |
| 659 | inclusively-classification | 110 M | 512 | ✗ cc-by-nc-sa-4.0 | 323 K | from 1.0 GB |
| 660 | DeepSeek-R1-Distill-Qwen-7B | 7.6 B | 131 K | ✓ mit | 322 K | from 18.4 GB |
| 661 | Meta-Llama-3.1-8B-Instruct-AWQ-INT4 | 8.0 B | 131 K | ⚠ llama3.1 | 321 K | from 8.0 GB |
| 662 | Phi-3-mini-4k-instruct | 3.8 B | 4 K | ✓ mit | 321 K | from 9.5 GB |
| 663 | GLM-5.2 | 753.3 B | 1.0 M | ✓ mit | 320 K | from 1,770.8 GB |
| 664 | distilbart-cnn-12-6 | — | 1 K | ✓ apache-2.0 | 317 K | — |
| 665 | Ornith-1.0-9B-AWQ-INT4 | 9.4 B | — | ✓ mit | 317 K | from 11.8 GB |
| 666 | Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 315 K | from 4.0 GB |
| 667 | regnety_032.ra_in1k | 20 M | — | ✓ apache-2.0 | 314 K | from 0.6 GB |
| 668 | Qwen3.8-27B-MTP-NVFP4 | 27.4 B | — | ✓ apache-2.0 | 313 K | from 27.2 GB |
| 669 | opus-mt-fr-en | 80 M | 512 | ✓ apache-2.0 | 312 K | from 0.8 GB |
| 670 | DeepSeek-V4.1-Flash-1017 | 763.2 B | — | ✓ mit | 312 K | from 676.3 GB |
| 671 | Qwen3.6-27B-NVFP4 | 18.2 B | — | ✓ apache-2.0 | 312 K | from 27.3 GB |
| 672 | macbert4csc-base-chinese | 100 M | 512 | ✓ apache-2.0 | 312 K | from 1.0 GB |
| 673 | phishing-email-detection-distilbert_v2.4.1 | 70 M | 512 | ✓ apache-2.0 | 311 K | from 0.8 GB |
| 674 | flint-GGUF | 39.8 B | 262 K | ✓ apache-2.0 | 308 K | from 19.0 GB |
| 675 | mms-lid-1024 | 967 M | — | ✗ cc-by-nc-4.0 | 308 K | from 4.9 GB |
| 676 | GEV-26B-Decide | 25.8 B | — | ✓ apache-2.0 | 308 K | from 61.4 GB |
| 677 | Qwen3-235B-A22B | 235.1 B | 41 K | ✓ apache-2.0 | 307 K | from 553.0 GB |
| 678 | gpt-oss-120b-GGUF | 120.0 B | 131 K | ✓ apache-2.0 | 306 K | from 19.4 GB |
| 679 | Qwen3-1.7B | 2.0 B | 41 K | ✓ apache-2.0 | 306 K | from 5.3 GB |
| 680 | prokbert-mini-promoter | 20 M | 1 K | ✗ cc-by-nc-4.0 | 302 K | from 0.6 GB |
| 681 | MiniMax-M2.7 | 228.7 B | 205 K | other | 302 K | from 288.0 GB |
| 682 | vit_small_patch16_224.augreg_in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 302 K | from 0.6 GB |
| 683 | Krea-2-Turbo | 12.8 B | — | other | 302 K | from 70.6 GB |
| 684 | pythia-14m | 10 M | 2 K | ✓ apache-2.0 | 299 K | from 0.5 GB |
| 685 | GLM-4.7-Flash-GGUF | — | — | ✓ mit | 296 K | from 13.0 GB |
| 686 | nllb-200-3.3B | 3.3 B | 1 K | ✗ cc-by-nc-4.0 | 296 K | from 8.3 GB |
| 687 | unbiased-toxic-roberta | — | 512 | ✓ apache-2.0 | 295 K | — |
| 688 | Apertus-8B-Instruct-2509 | 8.1 B | 66 K | ✓ apache-2.0 | 295 K | from 19.4 GB |
| 689 | JiRackUltra_14b | 14.8 B | 131 K | ✓ mit | 292 K | from 9.1 GB |
| 690 | voice-gender-classifier | 20 M | — | ✓ mit | 291 K | from 0.6 GB |
| 691 | Qwen2.5-3B-Instruct-GGUF | — | — | other | 291 K | from 2.0 GB |
| 692 | opus-mt-de-en | — | 512 | ✓ apache-2.0 | 289 K | — |
| 693 | Qwen2.5-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 288 K | from 3.6 GB |
| 694 | xflux_text_encoders | 4.8 B | — | ✓ apache-2.0 | 288 K | from 11.7 GB |
| 695 | resnet50.fb_swsl_ig1b_ft_in1k | 26 M | — | ✗ cc-by-nc-4.0 | 288 K | from 0.6 GB |
| 696 | animagine-xl-3.1 | 2.6 B | — | ⚠ openrail++ | 286 K | from 16.1 GB |
| 697 | segformer-b0-finetuned-ade-512-512 | <0.1 M | — | other | 286 K | from 0.5 GB |
| 698 | Ornith-1.5-35B-A3B | 36.0 B | — | ✓ mit | 286 K | from 85.0 GB |
| 699 | gpt2-mini | 39 M | — | ✓ mit | 285 K | from 0.7 GB |
| 700 | controlnet-openpose-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 285 K | from 6.2 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.