1,226 models · 1,226 open weights · 200 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 | Min VRAM |
|---|---|---|---|---|---|---|
| 101 | Ornith-1.0-9B | <0.1 M | — | ✓ mit | 792 K | from 21.2 GB |
| 102 | Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit | 30.0 B | 262 K | ✓ apache-2.0 | 780 K | from 24.9 GB |
| 103 | Ornith-1.5-9B-NVFP4 | 6.7 B | — | ✓ mit | 763 K | from 11.2 GB |
| 104 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 | 31.6 B | 262 K | other | 743 K | from 77.6 GB |
| 105 | DeepSeek-V3-0324 | 684.5 B | 164 K | ✓ mit | 734 K | from 860.6 GB |
| 106 | SmolLM3-3B | 3.1 B | 66 K | ✓ apache-2.0 | 719 K | from 7.7 GB |
| 107 | Qwen3-8B-Base | 8.2 B | 33 K | ✓ apache-2.0 | 718 K | from 19.7 GB |
| 108 | Qwen3.8-27B-NVFP4-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 714 K | from 41.0 GB |
| 109 | Qwen3-32B-AWQ | 32.8 B | 41 K | ✓ apache-2.0 | 707 K | from 26.7 GB |
| 110 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 697 K | from 7.8 GB |
| 111 | llama-3.3-70b-instruct-awq | 70.6 B | 131 K | ⚠ llama3.3 | 691 K | from 54.8 GB |
| 112 | Sharp-Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 687 K | from 1.1 GB |
| 113 | Ornith-1.0-397B-FP8 | 397.0 B | — | ✓ mit | 673 K | from 505.7 GB |
| 114 | LFM2.5-2.6B-GGUF | 2.6 B | 131 K | other | 652 K | from 2.6 GB |
| 115 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 646 K | from 4.1 GB |
| 116 | Qwen3-0.6B-Base | 600 M | 33 K | ✓ apache-2.0 | 634 K | from 1.9 GB |
| 117 | Qwen3-Coder-30B-A3B-Instruct | 30.5 B | 262 K | ✓ apache-2.0 | 629 K | from 72.3 GB |
| 118 | GLM-5.1 | 753.9 B | 203 K | ✓ mit | 626 K | from 1,772.1 GB |
| 119 | Qwen3-4B-Thinking-2507 | 4.0 B | 262 K | ✓ apache-2.0 | 621 K | from 10.0 GB |
| 120 | Llama-3.1-8B | 8.0 B | — | ⚠ llama3.1 | 611 K | from 19.4 GB |
| 121 | granite-4.1-3b | 3.4 B | 131 K | ✓ apache-2.0 | 608 K | from 8.5 GB |
| 122 | Laguna-M.1 | 225.8 B | 262 K | ✓ apache-2.0 | 595 K | from 531.1 GB |
| 123 | Laguna-XS.2 | 33.4 B | 262 K | ✓ apache-2.0 | 593 K | from 79.1 GB |
| 124 | NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 | 67.2 B | 262 K | other | 588 K | from 98.9 GB |
| 125 | MiniCPM-SALA-AWQ-8bit | 3.1 B | 524 K | ✓ apache-2.0 | 586 K | from 12.7 GB |
| 126 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 585 K | from 3.2 GB |
| 127 | Qwen2.5-7B | 7.6 B | 131 K | ✓ apache-2.0 | 579 K | from 18.4 GB |
| 128 | Qwen3-4B-Base | 4.0 B | 33 K | ✓ apache-2.0 | 578 K | from 10.0 GB |
| 129 | Qwen3-8B-GGUF | — | — | ✓ apache-2.0 | 569 K | from 6.0 GB |
| 130 | Qwen3.8-Flash-Next-GGUF | 180.0 B | — | other | 569 K | from 28.5 GB |
| 131 | EXAONE-3.5-7.8B-Instruct-AWQ | 7.8 B | 33 K | other | 564 K | from 7.5 GB |
| 132 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 557 K | from 4.5 GB |
| 133 | MiniCPM5-2B-MLX | 2.5 B | 131 K | ✓ apache-2.0 | 548 K | from 2.4 GB |
| 134 | Llama-3.2-1B | 1.2 B | — | ⚠ llama3.2 | 547 K | from 3.4 GB |
| 135 | Qwen2.5-Coder-32B-Instruct | 32.8 B | 33 K | ✓ apache-2.0 | 546 K | from 77.5 GB |
| 136 | Qwen3.8-4B-Distill-GGUF | — | — | ✓ apache-2.0 | 541 K | from 3.6 GB |
| 137 | Qwen3.8-27B-NVFP4 | 27.0 B | — | ✓ apache-2.0 | 540 K | from 28.7 GB |
| 138 | macbert4csc-base-chinese | 100 M | 512 | ✓ apache-2.0 | 537 K | from 1.0 GB |
| 139 | gpt-oss-20b-GGUF | — | 131 K | ✓ apache-2.0 | 530 K | from 13.1 GB |
| 140 | Qwen3.8-27B-OBLITERATED | 27.8 B | — | ✓ apache-2.0 | 520 K | from 5.7 GB |
| 141 | Ornith-1.5-35B-A3B-FP8 | 36.0 B | — | ✓ mit | 519 K | from 49.2 GB |
| 142 | Qwen3.8-9B-Distill-GGUF | — | — | ✓ apache-2.0 | 515 K | from 6.9 GB |
| 143 | Qwen3-Coder-Next | 79.7 B | 262 K | ✓ apache-2.0 | 511 K | from 187.7 GB |
| 144 | Underdog-Saluki-27B-1.0 | 27.0 B | — | ✓ apache-2.0 | 509 K | from 5.2 GB |
| 145 | Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 | 7.6 B | 33 K | ✓ apache-2.0 | 508 K | from 7.8 GB |
| 146 | POCKET-35B-GGUF | 35.0 B | — | ✓ apache-2.0 | 504 K | from 14.8 GB |
| 147 | Ternary-Bonsai-27B-gguf | — | — | ✓ apache-2.0 | 502 K | from 1.2 GB |
| 148 | pythia-14m | 10 M | 2 K | ✓ apache-2.0 | 501 K | from 0.5 GB |
| 149 | Llama-3.2-3B-Instruct-FP8-dynamic | 3.6 B | 131 K | ⚠ llama3.2 | 500 K | from 5.9 GB |
| 150 | Laguna-XS-2.1 | 33.4 B | 262 K | openmdw-1.1 | 500 K | from 79.1 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.