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 |
|---|---|---|---|---|---|---|
| 701 | Qwen3-14B-unsloth-bnb-4bit | 15.2 B | 41 K | ✓ apache-2.0 | 190 K | 15.0 GB |
| 702 | DeepSeek-R1-Distill-Qwen-14B | 14.8 B | 131 K | ✓ mit | 190 K | 35.2 GB |
| 703 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 189 K | 10.4 GB |
| 704 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 189 K | 8.5 GB |
| 705 | gemma-3-1b-it-GGUF | 1.0 B | — | ⚠ gemma | 187 K | 1.5 GB |
| 706 | LFM2.5-2.6B-GGUF | 2.6 B | 131 K | other | 187 K | 2.6 GB |
| 707 | Qwen3.6-14B-A3B-FableVibes-GGUF | — | — | ✓ apache-2.0 | 187 K | 6.4 GB |
| 708 | opt-350m | 350 M | 2 K | other | 185 K | 1.3 GB |
| 709 | Qwen_Qwen3-0.6B-GGUF | 600 M | 41 K | unknown | 185 K | 1.0 GB |
| 710 | Qwen-Image-2.1-viggle-turbo | 7.1 B | — | other | 183 K | 6.3 GB |
| 711 | Ornith-1.5-35B-A3B-MLX-4bit | 34.7 B | — | unknown | 183 K | 27.2 GB |
| 712 | FLUX.2-klein-4B-GGUF | — | — | ✓ apache-2.0 | 182 K | 3.2 GB |
| 713 | Qwen3-30B-A3B-Instruct-2507-FP8 | 30.5 B | 262 K | ✓ apache-2.0 | 182 K | 39.4 GB |
| 714 | phi-2 | 2.8 B | 2 K | ✓ mit | 178 K | 7.0 GB |
| 715 | Ministral-3-14B-Instruct-2512 | 13.9 B | — | ✓ apache-2.0 | 177 K | 37.2 GB |
| 716 | Qwen3-Coder-Next-GGUF | — | — | ✓ apache-2.0 | 177 K | 47.4 GB |
| 717 | Qwen3-1.7B-GGUF | 1.7 B | 41 K | ✓ apache-2.0 | 176 K | 2.8 GB |
| 718 | Qwen3.8-4B-Distill | 4.7 B | — | ✓ apache-2.0 | 175 K | 11.5 GB |
| 719 | Ternary-Bonsai-8B-gguf | — | — | ✓ apache-2.0 | 174 K | 2.9 GB |
| 720 | Underdog-Saluki-27B-1.0-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 173 K | 13.7 GB |
| 721 | t5gemma-2b-2b-ul2-it | 5.6 B | — | ⚠ gemma | 173 K | 13.7 GB |
| 722 | deepseek-coder-7b-instruct-v1.5 | 6.9 B | 4 K | other | 172 K | 16.7 GB |
| 723 | gpt-oss-20b-MXFP4-Q8 | 20.9 B | 131 K | ✓ apache-2.0 | 171 K | 16.9 GB |
| 724 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 169 K | 19.4 GB |
| 725 | Qwen-AgentWorld-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 169 K | 13.1 GB |
| 726 | Realistic_Vision_V6.0_B1_noVAE | — | — | ⚠ creativeml-openrail-m | 168 K | 14.6 GB |
| 727 | MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF | — | — | ✓ apache-2.0 | 168 K | 1.8 GB |
| 728 | gpt2-medium | 380 M | — | ✓ mit | 166 K | 2.2 GB |
| 729 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 165 K | 0.9 GB |
| 730 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 165 K | 4.9 GB |
| 731 | Qwen2-0.5B | 490 M | 131 K | ✓ apache-2.0 | 165 K | 1.7 GB |
| 732 | stable-diffusion-v1-1 | — | — | ⚠ creativeml-openrail-m | 165 K | 3.5 GB |
| 733 | LFM2.5-350M-GGUF | 350 M | 128 K | other | 165 K | 0.8 GB |
| 734 | Parable-Granite-4.1-3B-Claude-Fable-5-GGUF | 3.0 B | 131 K | ✓ apache-2.0 | 163 K | 3.3 GB |
| 735 | Qwen3-VL-30B-A3B-Instruct-AWQ | 31.1 B | — | ✓ apache-2.0 | 163 K | 24.8 GB |
| 736 | Parable-Granite-4.1-8B-Claude-Fable-5-GGUF | 8.0 B | 131 K | ✓ apache-2.0 | 162 K | 7.3 GB |
| 737 | Qwen3-8B-GGUF | — | 41 K | ✓ apache-2.0 | 162 K | 4.1 GB |
| 738 | Qwen1.5-1.8B-Chat | 1.8 B | 33 K | other | 161 K | 4.8 GB |
| 739 | LFM2.5-350M | 355 M | 128 K | other | 161 K | 1.3 GB |
| 740 | DeepSeek-R1-0528-Qwen3-8B-GGUF | 8.0 B | 131 K | ✓ mit | 161 K | 5.3 GB |
| 741 | Ornith-1.5-35B-A3B-MLX-6bit | 34.7 B | — | unknown | 161 K | 36.7 GB |
| 742 | Qwen2-7B | 7.6 B | 131 K | ✓ apache-2.0 | 157 K | 18.4 GB |
| 743 | Bonsai-1.7B-gguf | 1.7 B | — | ✓ apache-2.0 | 157 K | 1.0 GB |
| 744 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 156 K | 10.4 GB |
| 745 | Qwen3-Coder-30B-A3B-Instruct-AWQ | 30.0 B | 262 K | ✓ apache-2.0 | 155 K | 23.4 GB |
| 746 | Qwen2.5-14B-Instruct-1M | 14.8 B | 1.0 M | ✓ apache-2.0 | 154 K | 35.2 GB |
| 747 | transformer-1.3B-100B | 1.4 B | 2 K | ✓ mit | 153 K | 3.7 GB |
| 748 | Qwen3-4B-Instruct-2507-unsloth-bnb-4bit | 4.0 B | 262 K | ✓ apache-2.0 | 151 K | 5.0 GB |
| 749 | LFM2-24B-A2B-MLX-4bit | 23.8 B | 128 K | other | 151 K | 18.8 GB |
| 750 | CodeLlama-7b-hf | 6.7 B | 16 K | ⚠ llama2 | 151 K | 16.3 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.