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 Mac M4 Max · 64 GB |
|---|---|---|---|---|---|---|
| 301 | nomic-embed-text-v2-moe | 480 M | — | ✓ apache-2.0 | 736 K | 2.7 GB |
| 302 | Qwen3-TTS-12Hz-0.6B-CustomVoice | 910 M | — | ✓ apache-2.0 | 734 K | 3.4 GB |
| 303 | NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4 | 18.2 B | 262 K | other | 733 K | 24.5 GB |
| 304 | pythia-70m-deduped | 100 M | 2 K | ✓ apache-2.0 | 729 K | 0.7 GB |
| 305 | bert-large-cased-finetuned-conll03-english | 330 M | 512 | unknown | 719 K | 2.0 GB |
| 306 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 719 K | 3.2 GB |
| 307 | Z-Image-Turbo | 6.2 B | — | ✓ apache-2.0 | 715 K | 37.5 GB |
| 308 | VibeVoice-ASR | 8.7 B | — | ✓ mit | 715 K | 20.9 GB |
| 309 | Underdog-Saluki-27B-1.0 | 27.0 B | — | ✗ cc-by-nc-4.0 | 710 K | 5.2 GB |
| 310 | resnet50.ram_in1k | 30 M | — | ✓ apache-2.0 | 709 K | 0.6 GB |
| 311 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 707 K | 0.9 GB |
| 312 | Flux-2-Klein-9B | 9.0 B | — | other | 707 K | 37.3 GB |
| 313 | resnet34.a1_in1k | 20 M | — | ✓ apache-2.0 | 707 K | 0.6 GB |
| 314 | gemma-4-31B-it-qat-NVFP4-Blackwell | 31.0 B | — | ✓ apache-2.0 | 699 K | 27.6 GB |
| 315 | FRIDA | 823 M | — | ✓ mit | 698 K | 4.2 GB |
| 316 | whisper-large-v3-gguf | 1.5 B | — | ✓ apache-2.0 | 692 K | 1.8 GB |
| 317 | Qwen3-VL-Embedding-8B | 8.1 B | — | ✓ apache-2.0 | 690 K | 19.6 GB |
| 318 | JEV-9B | 9.0 B | 262 K | ✓ apache-2.0 | 690 K | 22.1 GB |
| 319 | Qwen2.5-14B-Instruct | 14.8 B | 33 K | ✓ apache-2.0 | 679 K | 35.2 GB |
| 320 | Qwen2.5-32B-Instruct-GGUF | 32.0 B | 33 K | ✓ apache-2.0 | 676 K | 15.2 GB |
| 321 | wav2vec2-xls-r-300m-bengali | 300 M | — | ✓ apache-2.0 | 676 K | 1.2 GB |
| 322 | nsfw-image-detection-384 | 5.6 M | — | ✓ apache-2.0 | 674 K | 0.5 GB |
| 323 | whisper-large-v3-turbo-gguf | 810 M | — | ✓ mit | 671 K | 1.2 GB |
| 324 | Diplodocus-preview-GGUF | — | — | ✓ apache-2.0 | 663 K | 0.5 GB |
| 325 | whisper-medium-gguf | 760 M | — | ✓ apache-2.0 | 662 K | 1.2 GB |
| 326 | noobai-XL-1.1 | 2.6 B | — | other | 662 K | 16.3 GB |
| 327 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 661 K | 0.6 GB |
| 328 | convnext_tiny.in12k_ft_in1k | 30 M | — | ✓ apache-2.0 | 651 K | 0.6 GB |
| 329 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 650 K | 0.7 GB |
| 330 | wikineural-multilingual-ner | 180 M | 512 | ✗ cc-by-nc-sa-4.0 | 649 K | 1.3 GB |
| 331 | Qwen3-ASR-0.6B | 940 M | — | ✓ apache-2.0 | 645 K | 2.7 GB |
| 332 | LFM2.5-24B-A2B-Uncensored-GGUF | 24.0 B | 131 K | other | 639 K | 4.1 GB |
| 333 | MiniCPM5-2B-DSpark | 324 M | 131 K | ✓ apache-2.0 | 631 K | 1.3 GB |
| 334 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 629 K | 4.5 GB |
| 335 | sdxl-turbo | 2.6 B | — | other | 626 K | 46.7 GB |
| 336 | gpt-oss-20b-GGUF | — | 131 K | ✓ apache-2.0 | 624 K | 13.1 GB |
| 337 | MiniCPM-SALA-AWQ-8bit | 3.1 B | 524 K | ✓ apache-2.0 | 621 K | 12.7 GB |
| 338 | embeddinggemma-300m-ONNX | 300 M | 2 K | ⚠ gemma | 617 K | 1.2 GB |
| 339 | Qwen3-0.6B-Base | 600 M | 33 K | ✓ apache-2.0 | 612 K | 1.9 GB |
| 340 | all-roberta-large-v1 | 360 M | 512 | ✓ apache-2.0 | 612 K | 2.1 GB |
| 341 | Qwen3-TTS-12Hz-1.7B-VoiceDesign | 1.9 B | — | ✓ apache-2.0 | 608 K | 5.8 GB |
| 342 | repvgg_a0.rvgg_in1k | 10 M | — | ✓ mit | 608 K | 0.5 GB |
| 343 | deepseek-v4-gguf | — | — | ✓ mit | 606 K | 4.7 GB |
| 344 | Spark-X2.6-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 606 K | 5.0 GB |
| 345 | DeepSeek-R1-Distill-Qwen-1.5B | 1.8 B | 131 K | ✓ mit | 600 K | 4.7 GB |
| 346 | wav2vec2-large-xlsr-mvc-swahili | 320 M | — | ✓ apache-2.0 | 600 K | 1.9 GB |
| 347 | bloomz-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 599 K | 1.8 GB |
| 348 | bge-small-en-v1.5 | 30 M | 512 | ✓ mit | 599 K | 0.7 GB |
| 349 | wav2vec2-large-xls-r-300m-welsh | 300 M | — | ✓ apache-2.0 | 591 K | 1.2 GB |
| 350 | Qwen3.8-27B-Defiance-Uncensored-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 590 K | 5.5 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.