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 |
|---|---|---|---|---|---|---|
| 701 | LFM3-1.7B-GGUF | 1.7 B | — | other | 283 K | from 1.9 GB |
| 702 | koelectra-small-v3-nsmc | 10 M | 512 | ✓ mit | 283 K | from 0.6 GB |
| 703 | OpenMed-NER-PharmaDetect-SuperClinical-434M | 430 M | 512 | ✓ apache-2.0 | 279 K | from 1.5 GB |
| 704 | vit_base_patch8_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 279 K | from 0.9 GB |
| 705 | Ornith-1.0-397B-FP8 | 396.8 B | — | ✓ mit | 278 K | from 505.7 GB |
| 706 | FLUX.1-schnell | 11.9 B | — | ✓ apache-2.0 | 278 K | from 65.9 GB |
| 707 | Kimi-K2-Instruct | 1,026.5 B | 131 K | other | 277 K | from 1,286.6 GB |
| 708 | Qwen3-14B-FP8 | 14.8 B | 41 K | ✓ apache-2.0 | 277 K | from 20.7 GB |
| 709 | llm-jp-4-33b-thinking-gguf | 33.0 B | — | ✓ apache-2.0 | 277 K | from 27.6 GB |
| 710 | Qwen2-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 276 K | from 18.4 GB |
| 711 | vit_tiny_patch16_224.augreg_in21k_ft_in1k | 10 M | — | ✓ apache-2.0 | 276 K | from 0.5 GB |
| 712 | phi-4 | 14.7 B | 16 K | ✓ mit | 276 K | from 34.9 GB |
| 713 | convnext_tiny.fb_in22k_ft_in1k | 29 M | — | ✓ apache-2.0 | 275 K | from 0.6 GB |
| 714 | LFM2.5-230M-Base | 230 M | 128 K | other | 275 K | from 1.0 GB |
| 715 | Qwen3.8-27B-NVFP4-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 275 K | from 41.0 GB |
| 716 | IP-Adapter-FaceID | — | — | unknown | 274 K | from 1.5 GB |
| 717 | Ternary-Bonsai-27B-gguf | — | — | ✓ apache-2.0 | 274 K | from 1.2 GB |
| 718 | Ornith-1.5-122B-NVFP4 | 122.0 B | — | ✓ mit | 274 K | from 104.2 GB |
| 719 | vit_tiny_r_s16_p8_224.augreg_in21k | 10 M | — | ✓ apache-2.0 | 274 K | from 0.5 GB |
| 720 | LFM2.5-24B-A2B-GGUF | 24.0 B | 131 K | other | 273 K | from 19.0 GB |
| 721 | GLM-4.7-Flash-AWQ | 31.2 B | 203 K | ✓ mit | 272 K | from 26.9 GB |
| 722 | ner-english | — | — | unknown | 272 K | — |
| 723 | edgenext_small.usi_in1k | 10 M | — | ✓ mit | 271 K | from 0.5 GB |
| 724 | table-transformer-detection | 30 M | 1 K | ✓ mit | 270 K | from 0.6 GB |
| 725 | CodonTransformer | 90 M | 4 K | ✓ apache-2.0 | 270 K | from 0.9 GB |
| 726 | Llama-3.2-3B | 3.2 B | — | ⚠ llama3.2 | 269 K | from 8.0 GB |
| 727 | Noct-Q-Uncensored-Qwen-Image-2.1 | 7.1 B | — | other | 269 K | from 17.5 GB |
| 728 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 267 K | from 4.5 GB |
| 729 | taardis-27b-full-ternary | 27.0 B | — | ✓ apache-2.0 | 267 K | from 12.4 GB |
| 730 | Kimi-K3-DSpark | 2.3 B | 1.0 M | unknown | 266 K | from 5.8 GB |
| 731 | gliner2.5-multi-v1 | 287 M | — | ✓ apache-2.0 | 266 K | from 1.8 GB |
| 732 | Qwen3-30B-A3B-GGUF | — | — | ✓ apache-2.0 | 265 K | from 20.9 GB |
| 733 | Ornith-1.5-9B-MLX-4bit | 9.0 B | — | unknown | 265 K | from 7.4 GB |
| 734 | Qwen2.5-Coder-7B-Instruct-4bit | 1.2 B | 33 K | ✓ apache-2.0 | 264 K | from 5.4 GB |
| 735 | phishing-distilbert-cyber207 | 67 M | 512 | unknown | 264 K | from 0.8 GB |
| 736 | segformer-b0-finetuned-ade-512-512 | <0.1 M | — | unknown | 263 K | — |
| 737 | Ornith-1.5-122B | 125.1 B | — | ✓ mit | 262 K | from 294.5 GB |
| 738 | densenetblur121d.ra_in1k | 8.1 M | — | ✓ apache-2.0 | 262 K | from 0.5 GB |
| 739 | Qwen3.8-27B-NVFP4 | 27.0 B | — | ✓ apache-2.0 | 260 K | from 28.7 GB |
| 740 | TwIL-LM3 | 3.1 B | 66 K | other | 260 K | from 3.1 GB |
| 741 | ner-english-fast | — | — | unknown | 259 K | — |
| 742 | Qwen-Image-2.1-Turbo-GGUF | — | — | other | 259 K | from 3.3 GB |
| 743 | gpt-neox-20b | 20.7 B | 2 K | ✓ apache-2.0 | 259 K | from 49.0 GB |
| 744 | waiIllustriousSDXL_v170 | — | — | cdla-permissive-2.0 | 259 K | from 8.1 GB |
| 745 | DeepSeek-V3.1 | 684.5 B | 164 K | ✓ mit | 258 K | from 860.6 GB |
| 746 | rubert-tiny-toxicity | 10 M | 512 | ✓ mit | 258 K | from 0.6 GB |
| 747 | LFM2.5-1.2B-Instruct-GGUF | 1.2 B | 128 K | other | 257 K | from 1.4 GB |
| 748 | Kwaipilot_KAT-Coder-V2.5-Dev-GGUF | — | — | ✓ apache-2.0 | 257 K | from 11.3 GB |
| 749 | shieldgemma-9b | 9.2 B | — | ⚠ gemma | 256 K | from 22.2 GB |
| 750 | RMBG-1.4 | 40 M | — | other | 256 K | from 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; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.