1,213 models · 1,213 open weights · 210 API-only · refreshed nightly
Open-weights models
Models whose weights are published on Hugging Face — download them and run them on your own hardware. Many are also served by hosted providers; those carry an "Also via API" badge with live prices.
| # | Model | Params | Context | Commercial use | 30d | On RTX 3060 · 12 GB |
|---|---|---|---|---|---|---|
| 551 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 122 K | 0.6 GB |
| 552 | Krea-2-Turbo-GGUF | — | — | other | 114 K | 5.9 GB |
| 553 | Qwen-Image-2.1-GGUF | — | — | unknown | 109 K | 3.3 GB |
| 554 | Flux2-Klein-9B-True-V2 | — | — | other | 109 K | 6.8 GB |
| 555 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 108 K | 8.5 GB |
| 556 | Qwen-Image-GGUF | — | — | ✓ apache-2.0 | 107 K | 0.8 GB |
| 557 | z-image-turbo-nsfw-v2-GGUF | — | — | ✓ apache-2.0 | 105 K | 8.4 GB |
| 558 | opus-mt-tc-big-ko-en | 210 M | 1 K | ✓ cc-by-4.0 | 95 K | 1.0 GB |
| 559 | ideogram-4-gguf | 9.3 B | — | other | 94 K | 8.1 GB |
| 560 | FLUX.1-schnell-GGUF | 11.9 B | — | ✓ apache-2.0 | 91 K | 6.7 GB |
| 561 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 90 K | 8.5 GB |
| 562 | Qwen-Image-2.1-Turbo-Quantized | — | — | other | 90 K | 5.0 GB |
| 563 | Anima-2.9B | — | — | other | 86 K | 10.3 GB |
| 564 | T5-base-10K-summarization | 220 M | — | unknown | 84 K | 1.5 GB |
| 565 | FLUX.2-klein-4B-mflux-4bit | — | — | ✓ apache-2.0 | 80 K | 5.6 GB |
| 566 | InstantID | — | — | ✓ apache-2.0 | 79 K | 3.3 GB |
| 567 | diving-illustrious-real-asian-v50-sdxl | 2.6 B | — | other | 79 K | 8.5 GB |
| 568 | LFM3-1.7B | 1.7 B | 262 K | other | 79 K | 4.6 GB |
| 569 | Chroma-GGUF | — | — | ✓ apache-2.0 | 78 K | 6.0 GB |
| 570 | dvine82-xl | 2.6 B | — | unknown | 77 K | 8.5 GB |
| 571 | Index-Translate-9B-GGUF | 9.0 B | — | ✓ apache-2.0 | 76 K | 6.2 GB |
| 572 | controlnet-canny-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 75 K | 6.2 GB |
| 573 | Qwen-Image-2.1-Turbo-GGUF | — | — | other | 75 K | 3.2 GB |
| 574 | Qwen-Image-gguf | — | — | ✓ apache-2.0 | 71 K | 8.3 GB |
| 575 | controlnet-openpose-sdxl-1.0 | — | — | other | 70 K | 6.9 GB |
| 576 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 70 K | 4.7 GB |
| 577 | Ministral-3-3B-Instruct-2512 | 3.8 B | — | ✓ apache-2.0 | 66 K | 11.4 GB |
| 578 | stable-diffusion-v1-5-GGUF | — | — | ⚠ creativeml-openrail-m | 66 K | 2.2 GB |
| 579 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 65 K | 9.7 GB |
| 580 | controlnet-depth-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 64 K | 3.4 GB |
| 581 | mbart-large-50-many-to-many-mmt | 610 M | 1 K | unknown | 63 K | 3.3 GB |
| 582 | sarvam-translate | 4.3 B | — | gpl-3.0 | 61 K | 10.6 GB |
| 583 | flux-3-image-klein-GGUF | — | — | unknown | 61 K | 3.0 GB |
| 584 | MEETING_SUMMARY | 410 M | 1 K | ✓ apache-2.0 | 61 K | 2.3 GB |
| 585 | Lusty_Krea-2_NSFW | 12.8 B | — | other | 61 K | 11.6 GB |
| 586 | Qwen-Image-2.1-Turbo-Uncensored-GGUF | 8.8 B | — | ✓ apache-2.0 | 60 K | 5.5 GB |
| 587 | majicMIX_realistic_v7 | 860 M | — | other | 60 K | 12.0 GB |
| 588 | Qwen-Image-2.1-Uncensored-Abenzerps-GGUF | 7.1 B | — | other | 59 K | 6.1 GB |
| 589 | one-obsession-17-red-sdxl | 2.6 B | — | other | 57 K | 8.5 GB |
| 590 | HY-MT1.5-1.8B-GGUF | 1.8 B | — | unknown | 56 K | 2.0 GB |
| 591 | Anima-LLLite | — | — | other | 56 K | 0.8 GB |
| 592 | FLUX.1-dev-GGUF | 11.9 B | — | other | 55 K | 6.7 GB |
| 593 | controlnet-canny-sdxl-1.0 | 1.3 B | — | ⚠ openrail++ | 55 K | 8.9 GB |
| 594 | FLUX-3-Image-Klein_GGUFs | — | — | unknown | 55 K | 4.2 GB |
| 595 | controlnet-tile-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 53 K | 3.4 GB |
| 596 | financial-summarization-pegasus | 570 M | 512 | unknown | 52 K | 3.1 GB |
| 597 | Juggernaut-X-v10 | — | — | ⚠ creativeml-openrail-m | 52 K | 8.3 GB |
| 598 | indictrans2-en-indic-1B | 1.1 B | — | ✓ mit | 48 K | 5.6 GB |
| 599 | Nemotron-3.5-Content-Safety | 4.3 B | — | other | 45 K | 10.6 GB |
| 600 | nllb-200-1.3B | 1.3 B | 1 K | ✗ cc-by-nc-4.0 | 43 K | 3.6 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.