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 | snowflake-arctic-embed-l-v2.0 | 570 M | 8 K | ✓ apache-2.0 | 2.5 M | from 3.1 GB |
| 102 | bge-base-en | 110 M | 512 | ✓ mit | 2.4 M | from 1.0 GB |
| 103 | wav2vec2-indonesian-javanese-sundanese | — | — | ✓ apache-2.0 | 2.4 M | — |
| 104 | mms-300m-1130-forced-aligner | 320 M | — | ✗ cc-by-nc-4.0 | 2.4 M | from 1.9 GB |
| 105 | Qwen3.8-27B-Uncensored-GGUF | — | — | ✓ apache-2.0 | 2.4 M | from 1.5 GB |
| 106 | Qwen-Image-2.1-Uncensored-Quantized | 7.1 B | — | other | 2.4 M | from 6.1 GB |
| 107 | Huihui-Qwen3.8-27B-abliterated-GGUF | 27.0 B | — | ✓ apache-2.0 | 2.4 M | from 16.5 GB |
| 108 | Ornith-1.0-9B | <0.1 M | — | ✓ mit | 2.4 M | from 21.2 GB |
| 109 | embeddinggemma-300m | 300 M | — | ⚠ gemma | 2.4 M | from 1.9 GB |
| 110 | Prompt-Guard-86M | 280 M | — | ⚠ llama3.1 | 2.4 M | from 1.8 GB |
| 111 | Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF | — | — | ✓ apache-2.0 | 2.4 M | from 19.3 GB |
| 112 | Qwen3.6-27B | 27.8 B | — | ✓ apache-2.0 | 2.4 M | from 65.8 GB |
| 113 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 2.4 M | from 6.7 GB |
| 114 | twitter-roberta-base-sentiment-latest | — | 512 | ✓ cc-by-4.0 | 2.4 M | — |
| 115 | Ternary-Bonsai-2-27B-gguf | 27.0 B | — | ✓ apache-2.0 | 2.3 M | from 5.2 GB |
| 116 | JiRackUltra_1b | 1.8 B | 131 K | ✓ mit | 2.3 M | from 1.8 GB |
| 117 | moondream2 | 1.9 B | — | ✓ apache-2.0 | 2.3 M | from 5.0 GB |
| 118 | wav2vec2-large-xlsr-53-hungarian | — | — | ✓ apache-2.0 | 2.3 M | — |
| 119 | bge-base-en-v1.5 | 110 M | 512 | ✓ mit | 2.3 M | from 0.8 GB |
| 120 | Unlimited-OCR | 3.3 B | 33 K | ✓ mit | 2.3 M | from 15.7 GB |
| 121 | Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF | — | — | ✓ apache-2.0 | 2.3 M | from 1.5 GB |
| 122 | Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 2.2 M | from 6.4 GB |
| 123 | faster-whisper-tiny | — | — | ✓ mit | 2.2 M | — |
| 124 | JEV-27B-VL | 27.8 B | — | ✓ apache-2.0 | 2.2 M | from 66.3 GB |
| 125 | wav2vec2-large-robust-24-ft-age-gender | 320 M | — | ✗ cc-by-nc-sa-4.0 | 2.2 M | from 1.9 GB |
| 126 | Qwen-Image-2.1-Uncensored-GGUF | 7.1 B | — | other | 2.2 M | from 6.1 GB |
| 127 | NVIDIA-Nemotron-3-Nano-4B-BF16 | 4.0 B | 262 K | other | 2.1 M | from 9.8 GB |
| 128 | Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF | 180.0 B | — | ✓ apache-2.0 | 2.1 M | from 28.5 GB |
| 129 | Qwen3-8B-AWQ | 8.2 B | 41 K | ✓ apache-2.0 | 2.1 M | from 8.4 GB |
| 130 | Voxtral-Mini-4B-Realtime-2602 | 4.4 B | — | ✓ apache-2.0 | 2.1 M | from 20.7 GB |
| 131 | mxbai-embed-large-v1 | 340 M | 512 | ✓ apache-2.0 | 2.0 M | from 1.3 GB |
| 132 | DeepSeek-OCR | 3.3 B | 8 K | ✓ mit | 2.0 M | from 8.3 GB |
| 133 | resnet18.a1_in1k | 10 M | — | ✓ apache-2.0 | 2.0 M | from 0.6 GB |
| 134 | Qwen2.5-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 2.0 M | from 7.8 GB |
| 135 | Tiel-Coder-35B-A3B-GGUF-MTP | 35.0 B | — | ✓ mit | 2.0 M | from 19.7 GB |
| 136 | OmniVoice | 610 M | — | unknown | 2.0 M | from 4.2 GB |
| 137 | Qwen3-Embedding-8B | 7.6 B | 41 K | ✓ apache-2.0 | 2.0 M | from 18.3 GB |
| 138 | Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 2.0 M | from 5.6 GB |
| 139 | GLM-OCR | 1.3 B | — | ✓ mit | 2.0 M | from 3.6 GB |
| 140 | parakeet-unified-en-0.6b-gguf | 600 M | — | other | 1.9 M | from 1.1 GB |
| 141 | nemotron-3.5-asr-streaming-0.6b-gguf | 600 M | — | other | 1.9 M | from 1.1 GB |
| 142 | GLM-5.3 | 753.3 B | 1.0 M | other | 1.9 M | from 944.7 GB |
| 143 | Qwen3-TTS-12Hz-1.7B-CustomVoice | 1.9 B | — | ✓ apache-2.0 | 1.9 M | from 5.8 GB |
| 144 | tf_efficientnetv2_s.in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 1.9 M | from 0.6 GB |
| 145 | t5-base | 220 M | — | ✓ apache-2.0 | 1.9 M | from 1.5 GB |
| 146 | bge-reranker-large | 560 M | 512 | ✓ mit | 1.9 M | from 3.0 GB |
| 147 | Qwen3-VL-2B-Instruct | 2.1 B | — | ✓ apache-2.0 | 1.9 M | from 5.5 GB |
| 148 | Bangla-twoclass-Sentiment-Analyzer | 280 M | 512 | ✓ mit | 1.9 M | from 1.8 GB |
| 149 | wav2vec2-large-xlsr-53-chinese-zh-cn | — | — | ✓ apache-2.0 | 1.8 M | — |
| 150 | SmolLM2-135M | 130 M | 8 K | ✓ apache-2.0 | 1.8 M | from 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.