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 |
|---|---|---|---|---|---|---|
| 401 | pythia-70m-deduped | 100 M | 2 K | ✓ apache-2.0 | 729 K | from 0.7 GB |
| 402 | OTel-2.0-LLM-31B-IT | 31.3 B | 262 K | ✓ apache-2.0 | 720 K | from 144.6 GB |
| 403 | bert-large-cased-finetuned-conll03-english | 330 M | 512 | unknown | 719 K | from 2.0 GB |
| 404 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 719 K | from 3.2 GB |
| 405 | wav2vec2-xlsr-53-espeak-cv-ft | — | — | ✓ apache-2.0 | 718 K | — |
| 406 | Z-Image-Turbo | 6.2 B | — | ✓ apache-2.0 | 715 K | from 37.5 GB |
| 407 | VibeVoice-ASR | 8.7 B | — | ✓ mit | 715 K | from 20.9 GB |
| 408 | ms-marco-MiniLM-L-6-v2 | — | 512 | unknown | 710 K | — |
| 409 | Underdog-Saluki-27B-1.0 | 27.0 B | — | ✗ cc-by-nc-4.0 | 710 K | from 5.2 GB |
| 410 | resnet50.ram_in1k | 30 M | — | ✓ apache-2.0 | 709 K | from 0.6 GB |
| 411 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 707 K | from 0.9 GB |
| 412 | Flux-2-Klein-9B | 9.0 B | — | other | 707 K | from 37.3 GB |
| 413 | resnet34.a1_in1k | 20 M | — | ✓ apache-2.0 | 707 K | from 0.6 GB |
| 414 | P-H3-Image-Comfy | — | — | other | 704 K | from 153.8 GB |
| 415 | Laguna-XS-2.1 | 33.4 B | 262 K | openmdw-1.1 | 700 K | from 79.1 GB |
| 416 | gemma-4-31B-it-qat-NVFP4-Blackwell | 31.0 B | — | ✓ apache-2.0 | 699 K | from 27.6 GB |
| 417 | FRIDA | 823 M | — | ✓ mit | 698 K | from 4.2 GB |
| 418 | opus-mt-zh-en | — | 512 | ✓ cc-by-4.0 | 694 K | — |
| 419 | whisper-large-v3-gguf | 1.5 B | — | ✓ apache-2.0 | 692 K | from 1.8 GB |
| 420 | Qwen3-VL-Embedding-8B | 8.1 B | — | ✓ apache-2.0 | 690 K | from 19.6 GB |
| 421 | JEV-9B | 9.0 B | 262 K | ✓ apache-2.0 | 690 K | from 22.1 GB |
| 422 | Qwen2.5-14B-Instruct | 14.8 B | 33 K | ✓ apache-2.0 | 679 K | from 35.2 GB |
| 423 | Qwen2.5-32B-Instruct-GGUF | 32.0 B | 33 K | ✓ apache-2.0 | 676 K | from 15.2 GB |
| 424 | wav2vec2-xls-r-300m-bengali | 300 M | — | ✓ apache-2.0 | 676 K | from 1.2 GB |
| 425 | nsfw-image-detection-384 | 5.6 M | — | ✓ apache-2.0 | 674 K | from 0.5 GB |
| 426 | Ornith-1.0-397B-FP8 | 397.0 B | — | ✓ mit | 673 K | from 505.7 GB |
| 427 | whisper-large-v3-turbo-gguf | 810 M | — | ✓ mit | 671 K | from 1.2 GB |
| 428 | Diplodocus-preview-GGUF | — | — | ✓ apache-2.0 | 663 K | from 0.5 GB |
| 429 | whisper-medium-gguf | 760 M | — | ✓ apache-2.0 | 662 K | from 1.2 GB |
| 430 | noobai-XL-1.1 | 2.6 B | — | other | 662 K | from 16.3 GB |
| 431 | specter2_base | — | 512 | ✓ apache-2.0 | 662 K | — |
| 432 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 661 K | from 0.6 GB |
| 433 | Qwen3.8-Flash-Next-NVFP4-GPTQ-Strata | 180.0 B | — | other | 657 K | from 83.8 GB |
| 434 | convnext_tiny.in12k_ft_in1k | 30 M | — | ✓ apache-2.0 | 651 K | from 0.6 GB |
| 435 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 650 K | from 0.7 GB |
| 436 | wikineural-multilingual-ner | 180 M | 512 | ✗ cc-by-nc-sa-4.0 | 649 K | from 1.3 GB |
| 437 | hubert-large-ls960-ft | — | — | ✓ apache-2.0 | 646 K | — |
| 438 | Qwen3-ASR-0.6B | 940 M | — | ✓ apache-2.0 | 645 K | from 2.7 GB |
| 439 | glotlid | — | — | other | 641 K | — |
| 440 | LFM2.5-24B-A2B-Uncensored-GGUF | 24.0 B | 131 K | other | 639 K | from 4.1 GB |
| 441 | MiniCPM5-2B-DSpark | 324 M | 131 K | ✓ apache-2.0 | 631 K | from 1.3 GB |
| 442 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 629 K | from 4.5 GB |
| 443 | sdxl-turbo | 2.6 B | — | other | 626 K | from 46.7 GB |
| 444 | gpt-oss-20b-GGUF | — | 131 K | ✓ apache-2.0 | 624 K | from 13.1 GB |
| 445 | MiniCPM-SALA-AWQ-8bit | 3.1 B | 524 K | ✓ apache-2.0 | 621 K | from 12.7 GB |
| 446 | embeddinggemma-300m-ONNX | 300 M | 2 K | ⚠ gemma | 617 K | from 1.2 GB |
| 447 | twitter-xlm-roberta-base-sentiment | — | 512 | unknown | 613 K | — |
| 448 | Qwen3-0.6B-Base | 600 M | 33 K | ✓ apache-2.0 | 612 K | from 1.9 GB |
| 449 | all-roberta-large-v1 | 360 M | 512 | ✓ apache-2.0 | 612 K | from 2.1 GB |
| 450 | Qwen3-TTS-12Hz-1.7B-VoiceDesign | 1.9 B | — | ✓ apache-2.0 | 608 K | from 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.