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 2 × 24 GB |
|---|---|---|---|---|---|---|
| 601 | diffusiongemma-26B-A4B-it-NVFP4 | 14.4 B | — | ✓ apache-2.0 | 232 K | 23.4 GB |
| 602 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 231 K | 0.6 GB |
| 603 | t5-3b | 2.9 B | — | ✓ apache-2.0 | 230 K | 13.5 GB |
| 604 | t5-large | 740 M | — | ✓ apache-2.0 | 230 K | 3.9 GB |
| 605 | h2ovl-mississippi-2b | 2.2 B | — | ✓ apache-2.0 | 230 K | 5.6 GB |
| 606 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 229 K | 3.5 GB |
| 607 | h2o-danube3-500m-chat | 514 M | 8 K | ✓ apache-2.0 | 229 K | 1.7 GB |
| 608 | Llama-3.1-8B-Instruct-4bit | 1.3 B | 131 K | ⚠ llama3.1 | 228 K | 5.7 GB |
| 609 | GaMS3-12B-Instruct | 11.8 B | 131 K | ⚠ gemma | 226 K | 28.2 GB |
| 610 | ftrobertallm | 355 M | 512 | ✓ mit | 225 K | 2.1 GB |
| 611 | prompt-saturation-attack-detector | 4.4 M | 512 | unknown | 225 K | 0.5 GB |
| 612 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 225 K | 12.1 GB |
| 613 | Z-Image-GGUF | 6.2 B | — | ✓ apache-2.0 | 224 K | 4.0 GB |
| 614 | TinyStories-1M | 1.0 M | 2 K | unknown | 224 K | 0.5 GB |
| 615 | Qwen3-14B-Base | 14.8 B | 33 K | ✓ apache-2.0 | 224 K | 35.2 GB |
| 616 | RealVisXL_V4.0 | 2.6 B | — | ⚠ openrail++ | 223 K | 31.4 GB |
| 617 | Qwen3-32B-AWQ | 32.8 B | 41 K | ✓ apache-2.0 | 222 K | 26.7 GB |
| 618 | OpenMed-NER-BloodCancerDetect-TinyMed-65M | 65 M | 512 | ✓ apache-2.0 | 222 K | 0.7 GB |
| 619 | OpenMed-NER-ChemicalDetect-ModernMed-149M | 150 M | 8 K | ✓ apache-2.0 | 222 K | 0.9 GB |
| 620 | LLaDA-8B-Instruct | 8.0 B | — | ✓ mit | 221 K | 19.3 GB |
| 621 | long-t5-tglobal-base-sci-simplify | 248 M | — | ✓ apache-2.0 | 221 K | 1.6 GB |
| 622 | GLM-4.7-Flash-AWQ-4bit | 32.1 B | 203 K | ✓ mit | 221 K | 27.5 GB |
| 623 | Olmo-3-7B-Instruct-SFT | 7.3 B | 66 K | ✓ apache-2.0 | 220 K | 17.7 GB |
| 624 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF | 30.0 B | 262 K | other | 220 K | 25.8 GB |
| 625 | vlt5-base-keywords | 280 M | — | ✓ cc-by-4.0 | 220 K | 1.8 GB |
| 626 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 220 K | 1.3 GB |
| 627 | OpenMed-NER-PharmaDetect-BigMed-278M | 278 M | 512 | ✓ apache-2.0 | 219 K | 1.2 GB |
| 628 | automotive | 34.7 B | — | ✓ apache-2.0 | 219 K | 29.0 GB |
| 629 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 218 K | 5.8 GB |
| 630 | Llama-3.1-Nemotron-Nano-8B-v1 | 8.0 B | 131 K | other | 218 K | 19.4 GB |
| 631 | Ornith-1.5-9B-MLX-6bit | 9.0 B | — | unknown | 218 K | 9.8 GB |
| 632 | SmolLM2-360M-Instruct | 360 M | 8 K | ✓ apache-2.0 | 218 K | 1.4 GB |
| 633 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 216 K | 13.7 GB |
| 634 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 216 K | 12.6 GB |
| 635 | TinyLLama-v0 | <0.1 M | 2 K | ✓ apache-2.0 | 215 K | 0.5 GB |
| 636 | qwen3-4b-base-dapo-v4 | 4.0 B | 33 K | ✓ apache-2.0 | 215 K | 10.0 GB |
| 637 | Realistic_Vision_V5.1_noVAE | 860 M | — | ⚠ creativeml-openrail-m | 215 K | 19.4 GB |
| 638 | OpenMed-NER-DiseaseDetect-BioMed-335M | 334 M | 512 | ✓ apache-2.0 | 214 K | 1.3 GB |
| 639 | SmolLM3-3B-Base | 3.1 B | 66 K | ✓ apache-2.0 | 213 K | 7.7 GB |
| 640 | Parable-Qwen3-4B-Claude-Fable-5-GGUF | 4.0 B | 41 K | ✓ apache-2.0 | 213 K | 3.8 GB |
| 641 | Parable-Qwen3-8B-Claude-Fable-5-GGUF | 8.0 B | 41 K | ✓ apache-2.0 | 212 K | 7.2 GB |
| 642 | resnet-50 | 30 M | — | ✓ apache-2.0 | 212 K | 0.6 GB |
| 643 | MiniCPM5-2B-MLX | 2.5 B | 131 K | ✓ apache-2.0 | 212 K | 2.4 GB |
| 644 | wildguard | 7.3 B | — | ✓ apache-2.0 | 211 K | 17.5 GB |
| 645 | Qwen3Guard-Gen-0.6B | 750 M | 33 K | ✓ apache-2.0 | 211 K | 2.3 GB |
| 646 | Llama-2-7b-hf | 6.7 B | — | ⚠ llama2 | 211 K | 16.3 GB |
| 647 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 208 K | 6.2 GB |
| 648 | Qwen3-30B-A3B-GPTQ-Int4 | 30.5 B | 41 K | ✓ apache-2.0 | 208 K | 23.7 GB |
| 649 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 208 K | 2.0 GB |
| 650 | DeepSeek-R1-Distill-Llama-70B-GGUF | — | 131 K | ⚠ llama3.3 | 208 K | 29.5 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.