1,011 models · refreshed nightly
All models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 251 | h2ovl-mississippi-2b | 2.2 B | — | ✓ apache-2.0 | 1.3 M | from 5.6 GB |
| 252 | Qwen3.6-35B-A3B-AWQ-4bit | 36.0 B | — | ✓ apache-2.0 | 1.3 M | from 33.4 GB |
| 253 | deepseek-vl2-tiny | 3.4 B | — | other | 1.3 M | from 8.4 GB |
| 254 | gemma-3-27b-it-int4-awq | 27.4 B | — | ⚠ gemma | 1.2 M | from 24.9 GB |
| 255 | DeepSeek-V3.2 | 685.4 B | 164 K | ✓ mit | 1.2 M | from 861.7 GB |
| 256 | gte-multilingual-base | 310 M | 8 K | ✓ apache-2.0 | 1.2 M | from 1.2 GB |
| 257 | gemma-4-31B-it-NVFP4 | 32.7 B | — | ✓ apache-2.0 | 1.2 M | from 31.0 GB |
| 258 | DeepSeek-V3 | 684.5 B | 164 K | unknown | 1.2 M | from 860.6 GB |
| 259 | gemma-4-26B-A4B-it-FP8-dynamic | 26.6 B | — | ✓ apache-2.0 | 1.2 M | from 36.0 GB |
| 260 | romanian-wav2vec2 | 320 M | — | ✓ apache-2.0 | 1.2 M | from 1.9 GB |
| 261 | Qwen2.5-Coder-32B-Instruct | 32.8 B | 33 K | ✓ apache-2.0 | 1.2 M | from 77.5 GB |
| 262 | faster-whisper-tiny.en | — | — | ✓ mit | 1.2 M | — |
| 263 | table-transformer-detection | 30 M | 1 K | ✓ mit | 1.2 M | from 0.6 GB |
| 264 | Qwen3.6-27B-MTP-GGUF | — | — | ✓ apache-2.0 | 1.2 M | from 14.3 GB |
| 265 | faster-whisper-large-v3 | — | — | ✓ mit | 1.2 M | — |
| 266 | opus-mt-nl-en | — | 512 | ✓ apache-2.0 | 1.2 M | — |
| 267 | falcon-7b | 7.2 B | — | ✓ apache-2.0 | 1.2 M | from 17.5 GB |
| 268 | ast-finetuned-audioset-10-10-0.4593 | 90 M | — | ✓ bsd-3-clause | 1.2 M | from 0.9 GB |
| 269 | Qwen3.5-4B-GGUF | — | — | ✓ apache-2.0 | 1.2 M | from 2.8 GB |
| 270 | gte-Qwen2-1.5B-instruct | 1.8 B | 131 K | ✓ apache-2.0 | 1.2 M | from 8.6 GB |
| 271 | bloomz-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 1.2 M | from 1.8 GB |
| 272 | resnet-50 | 30 M | — | ✓ apache-2.0 | 1.2 M | from 0.6 GB |
| 273 | tiny-gpt2 | — | — | unknown | 1.2 M | — |
| 274 | Qwen3-4B-Instruct-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 1.2 M | from 6.9 GB |
| 275 | SmolVLM2-500M-Video-Instruct | 510 M | — | ✓ apache-2.0 | 1.2 M | from 2.8 GB |
| 276 | surya-ocr-2 | 690 M | — | ⚠ openrail | 1.2 M | from 2.1 GB |
| 277 | Qwen3-VL-30B-A3B-Instruct-AWQ | 31.1 B | — | ✓ apache-2.0 | 1.2 M | from 24.8 GB |
| 278 | GLM-5-FP8 | 753.9 B | 203 K | ✓ mit | 1.2 M | from 945.4 GB |
| 279 | Qwen3-8B-AWQ | 8.2 B | 41 K | ✓ apache-2.0 | 1.1 M | from 8.4 GB |
| 280 | Qwen3.6-35B-A3B-AWQ | 36.0 B | — | ✓ apache-2.0 | 1.1 M | from 33.9 GB |
| 281 | e5-base-v2 | 110 M | 512 | ✓ mit | 1.1 M | from 1.0 GB |
| 282 | bge-multilingual-gemma2 | 9.2 B | 8 K | ⚠ gemma | 1.1 M | from 42.5 GB |
| 283 | bge-micro-v2 | 20 M | 512 | ✓ mit | 1.1 M | from 0.5 GB |
| 284 | Kimi-K3 | 2,779.9 B | — | other | 1.1 M | from 2,134.5 GB |
| 285 | sdxl-turbo | 2.6 B | — | other | 1.1 M | from 46.7 GB |
| 286 | all-MiniLM-L6-v2-onnx | — | 512 | ✓ apache-2.0 | 1.1 M | — |
| 287 | Z-Image-Turbo | 6.2 B | — | ✓ apache-2.0 | 1.1 M | from 37.5 GB |
| 288 | DeepSeek-V4-Flash-NVFP4 | 166.7 B | 1.0 M | ✓ mit | 1.1 M | from 210.6 GB |
| 289 | Phi-3.5-mini-instruct | 3.8 B | 131 K | ✓ mit | 1.1 M | from 9.5 GB |
| 290 | Wav2Vec2-large-xlsr-hindi | 320 M | — | unknown | 1.1 M | from 1.9 GB |
| 291 | clipseg-rd64-refined | 150 M | — | ✓ apache-2.0 | 1.1 M | from 1.2 GB |
| 292 | Qwen2.5-VL-32B-Instruct | 33.5 B | 128 K | ✓ apache-2.0 | 1.1 M | from 80.6 GB |
| 293 | all-roberta-large-v1 | 360 M | 512 | ✓ apache-2.0 | 1.1 M | from 2.1 GB |
| 294 | SmolVLM-256M-Instruct | 260 M | — | ✓ apache-2.0 | 1.1 M | from 1.1 GB |
| 295 | 1 | — | 2 K | unknown | 1.1 M | from 0.5 GB |
| 296 | wav2vec2-large-xlsr-53-th | — | — | cc-by-sa-4.0 | 1.1 M | — |
| 297 | TinyLlama-1.1B-Chat-v0.3-GPTQ | 1.1 B | 2 K | ✓ apache-2.0 | 1.1 M | from 1.5 GB |
| 298 | distiluse-base-multilingual-cased-v2 | 130 M | 512 | ✓ apache-2.0 | 1.1 M | from 1.1 GB |
| 299 | wav2vec2-large-voxrex-swedish | 320 M | — | ✓ cc0-1.0 | 1.1 M | from 1.9 GB |
| 300 | bge-small-en-v1.5 | 30 M | 512 | ✓ mit | 1.1 M | from 0.7 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.