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 4070 · 16 GB |
|---|---|---|---|---|---|---|
| 551 | FLUX.2-klein-4B-GGUF | — | — | ✓ apache-2.0 | 182 K | 3.2 GB |
| 552 | phi-2 | 2.8 B | 2 K | ✓ mit | 178 K | 7.0 GB |
| 553 | Qwen3-1.7B-GGUF | 1.7 B | 41 K | ✓ apache-2.0 | 176 K | 2.8 GB |
| 554 | Qwen3.8-4B-Distill | 4.7 B | — | ✓ apache-2.0 | 175 K | 11.5 GB |
| 555 | Ternary-Bonsai-8B-gguf | — | — | ✓ apache-2.0 | 174 K | 2.9 GB |
| 556 | Underdog-Saluki-27B-1.0-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 173 K | 13.7 GB |
| 557 | t5gemma-2b-2b-ul2-it | 5.6 B | — | ⚠ gemma | 173 K | 13.7 GB |
| 558 | Qwen-AgentWorld-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 169 K | 13.1 GB |
| 559 | Realistic_Vision_V6.0_B1_noVAE | — | — | ⚠ creativeml-openrail-m | 168 K | 14.6 GB |
| 560 | MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF | — | — | ✓ apache-2.0 | 168 K | 1.8 GB |
| 561 | gpt2-medium | 380 M | — | ✓ mit | 166 K | 2.2 GB |
| 562 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 165 K | 0.9 GB |
| 563 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 165 K | 4.9 GB |
| 564 | Qwen2-0.5B | 490 M | 131 K | ✓ apache-2.0 | 165 K | 1.7 GB |
| 565 | stable-diffusion-v1-1 | — | — | ⚠ creativeml-openrail-m | 165 K | 3.5 GB |
| 566 | LFM2.5-350M-GGUF | 350 M | 128 K | other | 165 K | 0.8 GB |
| 567 | Parable-Granite-4.1-3B-Claude-Fable-5-GGUF | 3.0 B | 131 K | ✓ apache-2.0 | 163 K | 3.3 GB |
| 568 | Parable-Granite-4.1-8B-Claude-Fable-5-GGUF | 8.0 B | 131 K | ✓ apache-2.0 | 162 K | 7.3 GB |
| 569 | Qwen3-8B-GGUF | — | 41 K | ✓ apache-2.0 | 162 K | 4.1 GB |
| 570 | Qwen1.5-1.8B-Chat | 1.8 B | 33 K | other | 161 K | 4.8 GB |
| 571 | LFM2.5-350M | 355 M | 128 K | other | 161 K | 1.3 GB |
| 572 | DeepSeek-R1-0528-Qwen3-8B-GGUF | 8.0 B | 131 K | ✓ mit | 161 K | 5.3 GB |
| 573 | Bonsai-1.7B-gguf | 1.7 B | — | ✓ apache-2.0 | 157 K | 1.0 GB |
| 574 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 156 K | 10.4 GB |
| 575 | transformer-1.3B-100B | 1.4 B | 2 K | ✓ mit | 153 K | 3.7 GB |
| 576 | Qwen3-4B-Instruct-2507-unsloth-bnb-4bit | 4.0 B | 262 K | ✓ apache-2.0 | 151 K | 5.0 GB |
| 577 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 149 K | 4.1 GB |
| 578 | Qwen3.8-27B-Uncensored-GGUF | 27.0 B | — | ✓ apache-2.0 | 149 K | 5.6 GB |
| 579 | madlad400-3b-mt | 2.9 B | — | ✓ apache-2.0 | 148 K | 2.8 GB |
| 580 | Qwen2.5-14B-Instruct-GGUF | 14.0 B | 33 K | ✓ apache-2.0 | 147 K | 8.5 GB |
| 581 | Flux-1-Kontext-Dev | — | — | other | 145 K | 13.6 GB |
| 582 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 145 K | 0.9 GB |
| 583 | Qwopus3.6-27B-Fusion-GGUF | — | — | other | 145 K | 15.4 GB |
| 584 | Granite-4.2-3B-BE-GGUF | 3.0 B | — | ✓ apache-2.0 | 144 K | 2.6 GB |
| 585 | DeepSeek-R1-Distill-Qwen-7B-GGUF | 7.0 B | 131 K | unknown | 139 K | 4.6 GB |
| 586 | typhoon2.5-qwen3-4b | 4.0 B | 262 K | ✓ apache-2.0 | 139 K | 10.0 GB |
| 587 | JevK5 | 4.2 B | 262 K | ✓ apache-2.0 | 138 K | 10.4 GB |
| 588 | needle3 | — | 8 K | ✓ apache-2.0 | 136 K | 0.8 GB |
| 589 | Wan2.2-I2V_General-NSFW-LoRA | — | — | unknown | 136 K | 1.8 GB |
| 590 | Qwen-Image-GGUF | 20.4 B | — | ✓ apache-2.0 | 136 K | 12.1 GB |
| 591 | P-Q-Image-2.1 | 7.1 B | — | other | 134 K | 3.8 GB |
| 592 | MOSS-Image-SFT-GGUF | — | — | ✓ apache-2.0 | 134 K | 3.6 GB |
| 593 | NVIDIA-Nemotron-3.5-Bolt-E4B-4GB | 4.0 B | — | other | 132 K | 7.9 GB |
| 594 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 132 K | 1.2 GB |
| 595 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 122 K | 0.6 GB |
| 596 | Krea-2-Turbo-GGUF | — | — | other | 114 K | 5.9 GB |
| 597 | Qwen-Image-2.1-GGUF | — | — | unknown | 109 K | 3.3 GB |
| 598 | Flux2-Klein-9B-True-V2 | — | — | other | 109 K | 6.8 GB |
| 599 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 108 K | 8.5 GB |
| 600 | Qwen-Image-GGUF | — | — | ✓ apache-2.0 | 107 K | 0.8 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.