1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
All models
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 | Min VRAM |
|---|---|---|---|---|---|---|
| 251 | Ternary-Bonsai-2-9B-gguf | 9.0 B | — | ✓ apache-2.0 | 1.2 M | from 2.9 GB |
| 252 | Hy3 | 298.8 B | 262 K | ✓ apache-2.0 | 1.2 M | from 702.7 GB |
| 253 | embeddinggemma-300m | 300 M | — | ⚠ gemma | 1.2 M | from 1.9 GB |
| 254 | Qwen3.8-Flash-Next-Gyro-GGUF | 180.0 B | — | other | 1.2 M | from 30.5 GB |
| 255 | OTel-2.0-LLM-31B-IT-QLoRA | 31.3 B | — | ✓ apache-2.0 | 1.2 M | from 74.0 GB |
| 256 | DeepSeek-V4-Flash | 158.1 B | 1.0 M | ✓ mit | 1.2 M | from 199.8 GB |
| 257 | gemma-4-26B-A4B-it-AWQ-4bit | 25.8 B | — | ✓ apache-2.0 | 1.1 M | from 23.3 GB |
| 258 | Gemma-4-31B-IT-NVFP4 | 20.9 B | — | other | 1.1 M | from 39.5 GB |
| 259 | parakeet-tdt-0.6b-v3-gguf | 600 M | — | ✓ cc-by-4.0 | 1.1 M | from 1.1 GB |
| 260 | Qwen2.5-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 1.1 M | from 13.7 GB |
| 261 | wav2vec2-large-xlsr-korean | 320 M | — | ✓ apache-2.0 | 1.1 M | from 1.9 GB |
| 262 | DeepSeek-V4.1-Flash-1017-GGUF | 763.2 B | — | ✓ mit | 1.1 M | from 236.6 GB |
| 263 | Qwen3-0.6B | 752 M | 41 K | ✓ apache-2.0 | 1.1 M | from 2.3 GB |
| 264 | Qwen3.8-27B-AWQ-INT4 | 27.8 B | — | ✓ apache-2.0 | 1.1 M | from 27.8 GB |
| 265 | Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.1 M | from 12.9 GB |
| 266 | Higgs-Audio-v3-Studio | — | — | other | 1.1 M | from 5.0 GB |
| 267 | gemma-4-31B-it-NVFP4 | 32.7 B | — | ✓ apache-2.0 | 1.1 M | from 31.0 GB |
| 268 | Qwen3-30B-A3B | 30.5 B | 41 K | ✓ apache-2.0 | 1.1 M | from 72.3 GB |
| 269 | wav2vec2-base-vi-vlsp2020 | — | — | ✗ cc-by-nc-4.0 | 1.1 M | — |
| 270 | Swift-1.5-Qwen3.8-27B-heretic-GSQ-RCO-GGUF | 27.0 B | — | other | 1.1 M | from 5.6 GB |
| 271 | Ornith-1.5-9B-NVFP4 | 6.7 B | — | ✓ mit | 1.1 M | from 11.2 GB |
| 272 | Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-GGUF | — | — | ✓ apache-2.0 | 1.1 M | from 29.9 GB |
| 273 | Ornith-1.5-35B-A3B-NVFP4 | 19.5 B | — | ✓ mit | 1.1 M | from 29.2 GB |
| 274 | wav2vec2-xls-r-300m-mixed | 300 M | — | unknown | 1.1 M | from 1.2 GB |
| 275 | USER2-base | 149 M | 8 K | ✓ apache-2.0 | 1.1 M | from 1.2 GB |
| 276 | filipino-wav2vec2-l-xls-r-300m-official | 300 M | — | ✓ apache-2.0 | 1.1 M | from 1.2 GB |
| 277 | Qwen3-VL-2B-Instruct | 2.1 B | — | ✓ apache-2.0 | 1.1 M | from 5.5 GB |
| 278 | wav2vec2-large-xls-r-300m-Urdu | 320 M | — | ✓ apache-2.0 | 1.1 M | from 1.9 GB |
| 279 | Qwen3-Coder-30B-A3B-Instruct-FP8 | 30.5 B | 262 K | ✓ apache-2.0 | 1.1 M | from 39.4 GB |
| 280 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 | 31.6 B | 262 K | other | 1.1 M | from 77.6 GB |
| 281 | Muse-Glimmer-30B-GGUF | — | — | ✓ apache-2.0 | 1.1 M | from 12.3 GB |
| 282 | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | 560.5 B | 262 K | other | 1.1 M | from 1,317.7 GB |
| 283 | bart-large-cnn | 410 M | 1 K | ✓ mit | 1.1 M | from 2.3 GB |
| 284 | MiniCPM5-2B | 2.5 B | 131 K | ✓ apache-2.0 | 1.1 M | from 6.4 GB |
| 285 | bert-base-NER | 110 M | 512 | ✓ mit | 1.1 M | from 1.0 GB |
| 286 | Qwen3.8-Flash-Next-Gyro-abliterated-Huihui-GGUF | — | — | other | 1.1 M | from 3.5 GB |
| 287 | turn-detector | 130 M | 8 K | other | 1.1 M | from 1.1 GB |
| 288 | GLM-4.7-Flash | 31.2 B | 203 K | ✓ mit | 1.0 M | from 73.9 GB |
| 289 | stable-diffusion-v1-5 | 860 M | — | ⚠ creativeml-openrail-m | 1.0 M | from 26.6 GB |
| 290 | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 | 123.6 B | 262 K | other | 1.0 M | from 291.0 GB |
| 291 | Breeze-TTS-2.cpp | — | — | other | 1.0 M | from 3.3 GB |
| 292 | wav2vec2-xls-r-parlaspeech-hr | 320 M | — | unknown | 1.0 M | from 1.9 GB |
| 293 | animagine-xl-4.0 | 2.6 B | — | ⚠ openrail++ | 1.0 M | from 23.8 GB |
| 294 | tiny-gpt2 | — | — | unknown | 1.0 M | — |
| 295 | Qwen2-VL-2B-Instruct | 2.2 B | 33 K | ✓ apache-2.0 | 1.0 M | from 5.7 GB |
| 296 | wav2vec2-large-xlsr-53-telugu | — | — | ✓ apache-2.0 | 1.0 M | — |
| 297 | BiRefNet | 220 M | — | ✓ mit | 1.0 M | from 1.0 GB |
| 298 | Ternary-Bonsai-27B-mlx-2bit | 2.6 B | — | ✓ apache-2.0 | 1.0 M | from 10.2 GB |
| 299 | jina-embeddings-v5-omni-small | 1.6 B | — | ✗ cc-by-nc-4.0 | 1.0 M | from 4.5 GB |
| 300 | e5-base-v2 | 110 M | 512 | ✓ mit | 1.0 M | from 1.0 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.