1,000 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 | bge-small-en-v1.5-onnx-Q | — | 512 | ✓ apache-2.0 | 1.2 M | — |
| 252 | LFM2.5-2.6B-GGUF | — | — | other | 1.2 M | from 2.3 GB |
| 253 | surya-ocr-2 | 690 M | — | ⚠ openrail | 1.2 M | from 2.1 GB |
| 254 | Ornith-1.5-35B-A3B-NVFP4 | 19.5 B | — | ✓ mit | 1.2 M | from 29.2 GB |
| 255 | wavlm-large | — | — | unknown | 1.2 M | — |
| 256 | Qwen3.8-27B-NVFP4 | 17.6 B | — | ✓ apache-2.0 | 1.2 M | from 32.2 GB |
| 257 | PowerMoE-3b | 3.4 B | 4 K | ✓ apache-2.0 | 1.2 M | from 15.9 GB |
| 258 | tiny-gpt2 | — | — | unknown | 1.2 M | — |
| 259 | specter2_base | — | 512 | ✓ apache-2.0 | 1.2 M | — |
| 260 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 1.2 M | from 0.6 GB |
| 261 | pythia-70m-deduped | 100 M | 2 K | ✓ apache-2.0 | 1.2 M | from 0.7 GB |
| 262 | Qwen3-VL-Embedding-8B | 8.1 B | — | ✓ apache-2.0 | 1.2 M | from 19.6 GB |
| 263 | Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.2 M | from 6.4 GB |
| 264 | Qwen3-VL-30B-A3B-Instruct-AWQ | 31.1 B | — | ✓ apache-2.0 | 1.2 M | from 24.8 GB |
| 265 | Ornith-1.0-9B | <0.1 M | — | ✓ mit | 1.2 M | from 21.2 GB |
| 266 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 1.1 M | from 13.7 GB |
| 267 | Qwen3.6-27B-MTP-GGUF | — | — | ✓ apache-2.0 | 1.1 M | from 14.3 GB |
| 268 | finbert-tone | — | 512 | unknown | 1.1 M | — |
| 269 | wav2vec2-xls-r-300m-bengali | 300 M | — | ✓ apache-2.0 | 1.1 M | from 1.2 GB |
| 270 | Qwen3-VL-Embedding-2B | 2.1 B | — | ✓ apache-2.0 | 1.1 M | from 5.5 GB |
| 271 | gemma-4-31B-it-NVFP4 | 32.7 B | — | ✓ apache-2.0 | 1.1 M | from 31.0 GB |
| 272 | DeepSeek-V3 | 684.5 B | 164 K | unknown | 1.1 M | from 860.6 GB |
| 273 | Qwen3-Coder-30B-A3B-Instruct-FP8 | 30.5 B | 262 K | ✓ apache-2.0 | 1.1 M | from 39.4 GB |
| 274 | wav2vec2-xls-r-parlaspeech-hr | 320 M | — | unknown | 1.1 M | from 1.9 GB |
| 275 | all-MiniLM-L6-v2-onnx | — | 512 | ✓ apache-2.0 | 1.1 M | — |
| 276 | Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-GGUF | — | — | ✓ apache-2.0 | 1.1 M | from 29.9 GB |
| 277 | medgemma-4b-it | 4.3 B | — | other | 1.1 M | from 10.6 GB |
| 278 | Qwen3.6-27B-GGUF | — | — | ✓ apache-2.0 | 1.1 M | from 14.1 GB |
| 279 | Qwen2.5-VL-32B-Instruct | 33.5 B | 128 K | ✓ apache-2.0 | 1.1 M | from 80.6 GB |
| 280 | OTel-LLM-27B-IT | 27.0 B | — | ✓ apache-2.0 | 1.1 M | from 64.0 GB |
| 281 | clipseg-rd64-refined | 150 M | — | ✓ apache-2.0 | 1.1 M | from 1.2 GB |
| 282 | surya-ocr-2-gguf | — | — | ⚠ openrail | 1.1 M | from 1.9 GB |
| 283 | UAE-Large-V1 | 340 M | 512 | ✓ mit | 1.1 M | from 2.0 GB |
| 284 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 1.1 M | from 1.0 GB |
| 285 | fairface_age_image_detection | 90 M | — | ✓ apache-2.0 | 1.1 M | from 2.4 GB |
| 286 | Muse-Glimmer-30B-GGUF | — | — | ✓ apache-2.0 | 1.1 M | from 12.3 GB |
| 287 | Bonsai-27B-mlx-1bit | 1.7 B | — | ✓ apache-2.0 | 1.1 M | from 6.4 GB |
| 288 | PP-DocLayoutV3_safetensors | 30 M | — | ✓ apache-2.0 | 1.1 M | from 0.7 GB |
| 289 | gte-small | 30 M | 512 | ✓ mit | 1.1 M | from 0.6 GB |
| 290 | Ternary-Bonsai-27B-mlx-2bit | 2.6 B | — | ✓ apache-2.0 | 1.1 M | from 10.2 GB |
| 291 | parakeet-tdt-0.6b-v2 | 620 M | — | ✓ cc-by-4.0 | 1.1 M | from 3.3 GB |
| 292 | bge-large-zh-v1.5 | — | 512 | ✓ mit | 1.1 M | — |
| 293 | table-transformer-structure-recognition | 30 M | 1 K | ✓ mit | 1.1 M | from 0.6 GB |
| 294 | bm25 | — | — | ✓ apache-2.0 | 1.0 M | — |
| 295 | bge-micro-v2 | 20 M | 512 | ✓ mit | 1.0 M | from 0.5 GB |
| 296 | Qwen3.6-35B-A3B-MTP-GGUF | — | — | ✓ apache-2.0 | 1.0 M | from 13.0 GB |
| 297 | Llama-3.1-8B-Instruct-4bit | 1.3 B | 131 K | ⚠ llama3.1 | 1.0 M | from 5.7 GB |
| 298 | 1 | — | 2 K | unknown | 1.0 M | from 0.5 GB |
| 299 | DeepSeek-V4-Flash-DSpark | 165.3 B | 1.0 M | ✓ mit | 1.0 M | from 208.9 GB |
| 300 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 | 17.8 B | 1.0 M | other | 1.0 M | from 26.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.