1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on RTX 4090 · 24 GB
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | On RTX 4090 · 24 GB |
|---|---|---|---|---|---|---|
| 151 | w2v-bert-2.0 | 580 M | — | ✓ mit | 1.3 M | 3.1 GB |
| 152 | Qwen2.5-VL-7B-Instruct-AWQ | 8.3 B | 128 K | ✓ apache-2.0 | 1.3 M | 9.4 GB |
| 153 | wav2vec2-large-voxrex-swedish | 320 M | — | ✓ cc0-1.0 | 1.3 M | 1.9 GB |
| 154 | table-transformer-structure-recognition | 30 M | 1 K | ✓ mit | 1.3 M | 0.6 GB |
| 155 | F5-TTS | — | — | ✗ cc-by-nc-4.0 | 1.3 M | 5.0 GB |
| 156 | Qwen2.5-Coder-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 1.3 M | 18.4 GB |
| 157 | Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive | — | — | ✓ apache-2.0 | 1.3 M | 13.3 GB |
| 158 | Ornith-1.5-397B-GGUF | — | — | ✓ mit | 1.3 M | 1.5 GB |
| 159 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 1.3 M | 0.6 GB |
| 160 | efficientvit_l2.r288_in1k | 64 M | — | ✓ apache-2.0 | 1.3 M | 0.8 GB |
| 161 | Qwen3-ASR-1.7B-gguf | 1.7 B | — | ✓ apache-2.0 | 1.2 M | 2.2 GB |
| 162 | cohere-transcribe-03-2026-gguf | 2.1 B | — | ✓ apache-2.0 | 1.2 M | 2.5 GB |
| 163 | Qwen2.5-VL-7B-Instruct-NVFP4 | 5.0 B | 128 K | other | 1.2 M | 9.2 GB |
| 164 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 1.2 M | 3.4 GB |
| 165 | Qwen3-TTS-GGUF | — | — | ✓ apache-2.0 | 1.2 M | 1.8 GB |
| 166 | romanian-wav2vec2 | 320 M | — | ✓ apache-2.0 | 1.2 M | 1.9 GB |
| 167 | Qwen2.5-0.5B | 490 M | 33 K | ✓ apache-2.0 | 1.2 M | 1.7 GB |
| 168 | Ternary-Bonsai-2-9B-gguf | 9.0 B | — | ✓ apache-2.0 | 1.2 M | 2.9 GB |
| 169 | embeddinggemma-300m | 300 M | — | ⚠ gemma | 1.2 M | 1.9 GB |
| 170 | gemma-4-26B-A4B-it-AWQ-4bit | 25.8 B | — | ✓ apache-2.0 | 1.1 M | 23.3 GB |
| 171 | parakeet-tdt-0.6b-v3-gguf | 600 M | — | ✓ cc-by-4.0 | 1.1 M | 1.1 GB |
| 172 | Qwen2.5-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 1.1 M | 13.7 GB |
| 173 | wav2vec2-large-xlsr-korean | 320 M | — | ✓ apache-2.0 | 1.1 M | 1.9 GB |
| 174 | Qwen3-0.6B | 752 M | 41 K | ✓ apache-2.0 | 1.1 M | 2.3 GB |
| 175 | Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.1 M | 12.9 GB |
| 176 | Higgs-Audio-v3-Studio | — | — | other | 1.1 M | 5.0 GB |
| 177 | Swift-1.5-Qwen3.8-27B-heretic-GSQ-RCO-GGUF | 27.0 B | — | other | 1.1 M | 5.6 GB |
| 178 | Ornith-1.5-9B-NVFP4 | 6.7 B | — | ✓ mit | 1.1 M | 11.2 GB |
| 179 | wav2vec2-xls-r-300m-mixed | 300 M | — | unknown | 1.1 M | 1.2 GB |
| 180 | USER2-base | 149 M | 8 K | ✓ apache-2.0 | 1.1 M | 1.2 GB |
| 181 | filipino-wav2vec2-l-xls-r-300m-official | 300 M | — | ✓ apache-2.0 | 1.1 M | 1.2 GB |
| 182 | Qwen3-VL-2B-Instruct | 2.1 B | — | ✓ apache-2.0 | 1.1 M | 5.5 GB |
| 183 | wav2vec2-large-xls-r-300m-Urdu | 320 M | — | ✓ apache-2.0 | 1.1 M | 1.9 GB |
| 184 | Muse-Glimmer-30B-GGUF | — | — | ✓ apache-2.0 | 1.1 M | 12.3 GB |
| 185 | bart-large-cnn | 410 M | 1 K | ✓ mit | 1.1 M | 2.3 GB |
| 186 | MiniCPM5-2B | 2.5 B | 131 K | ✓ apache-2.0 | 1.1 M | 6.4 GB |
| 187 | bert-base-NER | 110 M | 512 | ✓ mit | 1.1 M | 1.0 GB |
| 188 | Qwen3.8-Flash-Next-Gyro-abliterated-Huihui-GGUF | — | — | other | 1.1 M | 3.5 GB |
| 189 | turn-detector | 130 M | 8 K | other | 1.1 M | 1.1 GB |
| 190 | Breeze-TTS-2.cpp | — | — | other | 1.0 M | 3.3 GB |
| 191 | wav2vec2-xls-r-parlaspeech-hr | 320 M | — | unknown | 1.0 M | 1.9 GB |
| 192 | animagine-xl-4.0 | 2.6 B | — | ⚠ openrail++ | 1.0 M | 23.8 GB |
| 193 | Qwen2-VL-2B-Instruct | 2.2 B | 33 K | ✓ apache-2.0 | 1.0 M | 5.7 GB |
| 194 | BiRefNet | 220 M | — | ✓ mit | 1.0 M | 1.0 GB |
| 195 | Ternary-Bonsai-27B-mlx-2bit | 2.6 B | — | ✓ apache-2.0 | 1.0 M | 10.2 GB |
| 196 | jina-embeddings-v5-omni-small | 1.6 B | — | ✗ cc-by-nc-4.0 | 1.0 M | 4.5 GB |
| 197 | e5-base-v2 | 110 M | 512 | ✓ mit | 1.0 M | 1.0 GB |
| 198 | UAE-Large-V1 | 340 M | 512 | ✓ mit | 1.0 M | 2.0 GB |
| 199 | Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.0 M | 14.2 GB |
| 200 | gemma-3-4b-it | 4.3 B | — | ⚠ gemma | 1.0 M | 10.6 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.