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 |
|---|---|---|---|---|---|---|
| 201 | wav2vec2-large-xlsr-53-th | — | — | cc-by-sa-4.0 | 1.5 M | — |
| 202 | SmolLM2-135M-Instruct | 130 M | 8 K | ✓ apache-2.0 | 1.5 M | from 0.8 GB |
| 203 | Qwen3-4B-Base | 4.0 B | 33 K | ✓ apache-2.0 | 1.5 M | from 10.0 GB |
| 204 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 1.5 M | from 4.5 GB |
| 205 | paraphrase-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 1.5 M | from 0.6 GB |
| 206 | Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF | — | — | ✓ apache-2.0 | 1.5 M | from 5.9 GB |
| 207 | Qwen3.5-9B-GGUF | — | — | ✓ apache-2.0 | 1.5 M | from 5.2 GB |
| 208 | SapBERT-from-PubMedBERT-fulltext | 110 M | 512 | ✓ apache-2.0 | 1.5 M | from 1.0 GB |
| 209 | Qwen2.5-Coder-32B-Instruct-AWQ | 32.8 B | 33 K | ✓ apache-2.0 | 1.5 M | from 26.7 GB |
| 210 | koelectra-small-v3-nsmc | 10 M | 512 | ✓ mit | 1.5 M | from 0.6 GB |
| 211 | Ornith-1.5-397B-GGUF | — | — | ✓ mit | 1.5 M | from 1.5 GB |
| 212 | wav2vec2-base-960h | 90 M | — | ✓ apache-2.0 | 1.5 M | from 0.9 GB |
| 213 | Qwen3.5-122B-A10B-NVFP4 | 64.6 B | — | ✓ apache-2.0 | 1.4 M | from 102.0 GB |
| 214 | stanford-deidentifier-base | — | 512 | ✓ mit | 1.4 M | — |
| 215 | TinyLlama-1.1B-Chat-v1.0 | 1.1 B | 2 K | ✓ apache-2.0 | 1.4 M | from 3.1 GB |
| 216 | OTel-LLM-E4B-IT | 4.0 B | — | ✓ apache-2.0 | 1.4 M | from 9.9 GB |
| 217 | bert-base-NER | 110 M | 512 | ✓ mit | 1.4 M | from 1.0 GB |
| 218 | vakyansh-wav2vec2-tamil-tam-250 | — | — | ✓ mit | 1.4 M | — |
| 219 | gte-multilingual-base | 310 M | 8 K | ✓ apache-2.0 | 1.4 M | from 1.2 GB |
| 220 | gender-classification | 90 M | — | unknown | 1.4 M | from 0.9 GB |
| 221 | MiniMax-M2.7 | 228.7 B | 205 K | other | 1.4 M | from 288.0 GB |
| 222 | Qwen3.8-27B-AWQ-INT4 | 27.8 B | — | ✓ apache-2.0 | 1.4 M | from 27.8 GB |
| 223 | wav2vec2-xls-r-300m-mixed | 300 M | — | unknown | 1.4 M | from 1.2 GB |
| 224 | Inkling-Small-GGUF | — | — | ✓ apache-2.0 | 1.4 M | from 54.0 GB |
| 225 | wav2vec2-large-xlsr-53-chinese-zh-cn | — | — | ✓ apache-2.0 | 1.4 M | — |
| 226 | Wav2Vec2-large-xlsr-hindi | 320 M | — | unknown | 1.4 M | from 1.9 GB |
| 227 | OpenELM-1_1B-Instruct | 1.1 B | — | apple-amlr | 1.4 M | from 3.0 GB |
| 228 | wav2vec2-base-vi-vlsp2020 | — | — | ✗ cc-by-nc-4.0 | 1.3 M | — |
| 229 | Qwen3-Coder-Next-FP8 | 79.7 B | 262 K | ✓ apache-2.0 | 1.3 M | from 100.9 GB |
| 230 | bart-large-cnn | 410 M | 1 K | ✓ mit | 1.3 M | from 2.3 GB |
| 231 | Qwen3.6-35B-A3B-NVFP4 | 24.6 B | — | ✓ apache-2.0 | 1.3 M | from 33.3 GB |
| 232 | Unlimited-OCR-AWQ | 3.4 B | 33 K | ✓ mit | 1.3 M | from 4.1 GB |
| 233 | Qwen2.5-Coder-32B-Instruct | 32.8 B | 33 K | ✓ apache-2.0 | 1.3 M | from 77.5 GB |
| 234 | OmniVoice | 610 M | — | unknown | 1.3 M | from 4.2 GB |
| 235 | clap-htsat-unfused | — | — | ✓ apache-2.0 | 1.3 M | — |
| 236 | Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF | — | — | ✓ apache-2.0 | 1.3 M | from 13.8 GB |
| 237 | wav2vec2-large-xlsr-53-finnish | — | — | ✓ apache-2.0 | 1.3 M | — |
| 238 | wav2vec2-xls-r-300m-cs-250 | 320 M | — | ✓ apache-2.0 | 1.3 M | from 1.9 GB |
| 239 | gpt2-large | 810 M | — | ✓ mit | 1.3 M | from 4.2 GB |
| 240 | wav2vec2-xls-r-300m-hebrew | 320 M | — | unknown | 1.3 M | from 1.9 GB |
| 241 | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 | 123.6 B | 262 K | other | 1.3 M | from 291.0 GB |
| 242 | Qwen3.6-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 1.3 M | from 11.6 GB |
| 243 | SmolVLM2-500M-Video-Instruct | 510 M | — | ✓ apache-2.0 | 1.3 M | from 2.8 GB |
| 244 | gemma-3-27b-it-int4-awq | 27.4 B | — | ⚠ gemma | 1.2 M | from 24.9 GB |
| 245 | Qwen3.8-27B-OBLITERATED | 27.8 B | — | ✓ apache-2.0 | 1.2 M | from 5.7 GB |
| 246 | distiluse-base-multilingual-cased-v2 | 130 M | 512 | ✓ apache-2.0 | 1.2 M | from 1.1 GB |
| 247 | nb-wav2vec2-1b-nynorsk | 960 M | — | ✓ apache-2.0 | 1.2 M | from 4.9 GB |
| 248 | Qwen3.8-27B-GSQ-RCO-GGUF | — | — | ✓ apache-2.0 | 1.2 M | from 1.5 GB |
| 249 | voice-activity-detection | — | — | ✓ mit | 1.2 M | — |
| 250 | Meta-Llama-3-8B-Instruct | 8.0 B | — | ⚠ llama3 | 1.2 M | from 19.4 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.