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 |
|---|---|---|---|---|---|---|
| 101 | mxbai-embed-large-v1 | 340 M | 512 | ✓ apache-2.0 | 2.3 M | 1.3 GB |
| 102 | Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF | — | — | ✓ apache-2.0 | 2.2 M | 1.5 GB |
| 103 | Qwen-Image-2.1-Uncensored-GGUF | 7.1 B | — | other | 2.2 M | 6.1 GB |
| 104 | Qwen3.6-35B-A3B-MTP-GGUF | — | — | ✓ apache-2.0 | 2.1 M | 13.0 GB |
| 105 | Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 2.1 M | 5.6 GB |
| 106 | Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF | 9.0 B | — | ✓ apache-2.0 | 2.1 M | 7.3 GB |
| 107 | VieNeu-TTS-v3-Turbo | 131 M | 1 K | ✓ apache-2.0 | 2.1 M | 0.7 GB |
| 108 | nemotron-3.5-asr-streaming-0.6b-gguf | 600 M | — | other | 2.0 M | 1.1 GB |
| 109 | bge-reranker-large | 560 M | 512 | ✓ mit | 2.0 M | 3.0 GB |
| 110 | gemma-4-26B-A4B-it-GGUF | — | — | ✓ apache-2.0 | 2.0 M | 11.4 GB |
| 111 | GLM-OCR | 1.3 B | — | ✓ mit | 2.0 M | 3.6 GB |
| 112 | DeepSeek-OCR | 3.3 B | 8 K | ✓ mit | 2.0 M | 8.3 GB |
| 113 | resnet18.a1_in1k | 10 M | — | ✓ apache-2.0 | 2.0 M | 0.6 GB |
| 114 | Qwen2.5-Coder-14B-Instruct | 14.8 B | 33 K | ✓ apache-2.0 | 1.9 M | 35.2 GB |
| 115 | gte-large-en-v1.5 | 430 M | 8 K | ✓ apache-2.0 | 1.9 M | 2.5 GB |
| 116 | ast-finetuned-audioset-10-10-0.4593 | 90 M | — | ✓ bsd-3-clause | 1.9 M | 0.9 GB |
| 117 | Qwen3-VL-8B-Instruct-GGUF | 8.0 B | — | ✓ apache-2.0 | 1.9 M | 7.2 GB |
| 118 | NVIDIA-Nemotron-3-Nano-4B-BF16 | 4.0 B | 262 K | other | 1.9 M | 9.8 GB |
| 119 | paraphrase-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 1.9 M | 1.0 GB |
| 120 | Qwen3.5-9B-GGUF | — | — | ✓ apache-2.0 | 1.8 M | 5.2 GB |
| 121 | wav2vec2-base-960h | 90 M | — | ✓ apache-2.0 | 1.8 M | 0.9 GB |
| 122 | SmolVLM2-500M-Video-Instruct | 510 M | — | ✓ apache-2.0 | 1.8 M | 2.8 GB |
| 123 | Qwen3-14B-AWQ | 14.8 B | 41 K | ✓ apache-2.0 | 1.8 M | 13.7 GB |
| 124 | multilingual-e5-large-instruct | 560 M | 512 | ✓ mit | 1.7 M | 1.8 GB |
| 125 | Gemma-4-26B-A4B-NVFP4 | 14.4 B | — | ✓ apache-2.0 | 1.7 M | 23.3 GB |
| 126 | Qwen2.5-VL-3B-Instruct | 3.8 B | 128 K | unknown | 1.7 M | 9.3 GB |
| 127 | Qwen3-ASR-1.7B | 2.4 B | — | ✓ apache-2.0 | 1.7 M | 6.0 GB |
| 128 | Qwen3.8-Flash-Next-GGUF | 180.0 B | — | other | 1.7 M | 30.6 GB |
| 129 | Prompt-Guard-86M | 280 M | — | ⚠ llama3.1 | 1.7 M | 1.8 GB |
| 130 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.7 M | 1.1 GB |
| 131 | resnet50.a1_in1k | 30 M | — | ✓ apache-2.0 | 1.6 M | 0.6 GB |
| 132 | Qwen2.5-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 1.6 M | 7.8 GB |
| 133 | Ternary-Bonsai-2-27B-gguf | 27.0 B | — | ✓ apache-2.0 | 1.6 M | 5.2 GB |
| 134 | Qwen3.6-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 1.6 M | 11.6 GB |
| 135 | nsfw_image_detection | 90 M | — | ✓ apache-2.0 | 1.6 M | 0.9 GB |
| 136 | Qwen-Image-2.1-GGUF | 7.1 B | — | other | 1.6 M | 4.3 GB |
| 137 | Qwen3-8B-AWQ | 8.2 B | 41 K | ✓ apache-2.0 | 1.6 M | 8.4 GB |
| 138 | Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF | 27.0 B | — | other | 1.6 M | 4.6 GB |
| 139 | kokoro-inno-clone-tuner | 9.7 M | — | ✓ apache-2.0 | 1.6 M | 0.5 GB |
| 140 | Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.5 M | 17.9 GB |
| 141 | Qwen3.5-4B-GGUF | — | — | ✓ apache-2.0 | 1.5 M | 2.8 GB |
| 142 | paraphrase-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 1.5 M | 0.6 GB |
| 143 | Qwen3-VL-8B-Instruct-FP8 | 8.8 B | — | ✓ apache-2.0 | 1.5 M | 13.5 GB |
| 144 | Ornith-1.0-35B-GGUF | — | — | ✓ mit | 1.5 M | 23.8 GB |
| 145 | Qwen3-4B-Instruct-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 1.5 M | 6.9 GB |
| 146 | distilgpt2 | 90 M | — | ✓ apache-2.0 | 1.5 M | 0.9 GB |
| 147 | jina-embeddings-v3 | 570 M | 8 K | ✗ cc-by-nc-4.0 | 1.5 M | 1.8 GB |
| 148 | multi-qa-mpnet-base-dot-v1 | 110 M | 512 | unknown | 1.5 M | 1.0 GB |
| 149 | Mistral-7B-Instruct-v0.2 | 7.2 B | 33 K | ✓ apache-2.0 | 1.5 M | 17.5 GB |
| 150 | Voxtral-Mini-4B-Realtime-2602 | 4.4 B | — | ✓ apache-2.0 | 1.5 M | 20.7 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.