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 |
|---|---|---|---|---|---|---|
| 301 | llava-onevision-qwen2-0.5b-ov-hf | 890 M | — | ✓ apache-2.0 | 1.1 M | from 2.6 GB |
| 302 | nemotron-3.5-asr-streaming-0.6b | 640 M | — | other | 1.0 M | from 1.4 GB |
| 303 | wav2vec2-large-xlsr-53-telugu | — | — | ✓ apache-2.0 | 1.0 M | — |
| 304 | Qwen2.5-Coder-7B | 7.6 B | 33 K | ✓ apache-2.0 | 1.0 M | from 18.4 GB |
| 305 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 1.0 M | from 0.6 GB |
| 306 | RADAR-Vicuna-7B | — | 512 | unknown | 1.0 M | — |
| 307 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.0 M | from 1.1 GB |
| 308 | Qwen3.5-9B-GGUF | — | — | ✓ apache-2.0 | 1.0 M | from 5.2 GB |
| 309 | cohere-transcribe-03-2026 | 2.1 B | — | ✓ apache-2.0 | 1.0 M | from 5.4 GB |
| 310 | cohere-transcribe-03-2026-gguf | — | — | ✓ apache-2.0 | 1,000 K | from 2.2 GB |
| 311 | Qwen2-0.5B | 490 M | 131 K | ✓ apache-2.0 | 998 K | from 1.7 GB |
| 312 | e5-base | 110 M | 512 | ✓ mit | 990 K | from 1.0 GB |
| 313 | Qwen3.6-27B-MLX-8bit | 8.0 B | — | ✓ apache-2.0 | 983 K | from 34.2 GB |
| 314 | filipino-wav2vec2-l-xls-r-300m-official | — | — | ✓ apache-2.0 | 982 K | — |
| 315 | bm25 | — | — | ✓ apache-2.0 | 977 K | — |
| 316 | repeat | — | — | unknown | 975 K | from 0.5 GB |
| 317 | wav2vec2-large-xlsr-53-persian | — | — | ✓ apache-2.0 | 972 K | — |
| 318 | roberta-base-go_emotions | 120 M | 512 | ✓ mit | 968 K | from 1.1 GB |
| 319 | Kimi-K2.5 | 1,058.6 B | — | other | 966 K | from 814.0 GB |
| 320 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 961 K | from 4.5 GB |
| 321 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 945 K | from 47.2 GB |
| 322 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 945 K | from 47.2 GB |
| 323 | Qwen3.6-27B-MLX-4bit | 4.7 B | — | ✓ apache-2.0 | 942 K | from 18.9 GB |
| 324 | MiniCPM-V-4.6 | 1.3 B | — | ✓ apache-2.0 | 942 K | from 3.6 GB |
| 325 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 940 K | from 1.0 GB |
| 326 | Gemma-4-E4B-Uncensored-HauhauCS-Aggressive | — | — | ⚠ gemma | 937 K | from 5.4 GB |
| 327 | twitter-xlm-roberta-base-sentiment | — | 512 | unknown | 932 K | — |
| 328 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | 31.6 B | 262 K | other | 931 K | from 74.7 GB |
| 329 | DeepSeek-V3-0324 | 684.5 B | 164 K | ✓ mit | 930 K | from 860.6 GB |
| 330 | UAE-Large-V1 | 340 M | 512 | ✓ mit | 928 K | from 2.0 GB |
| 331 | gpt-neox-20b | 20.7 B | 2 K | ✓ apache-2.0 | 927 K | from 49.0 GB |
| 332 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 926 K | from 3.0 GB |
| 333 | Qwen2.5-7B | 7.6 B | 131 K | ✓ apache-2.0 | 924 K | from 18.4 GB |
| 334 | Qwen3.5-35B-A3B-FP8 | 36.0 B | — | ✓ apache-2.0 | 924 K | from 47.1 GB |
| 335 | MiniMax-M2.7 | 228.7 B | 205 K | other | 924 K | from 288.0 GB |
| 336 | LocateAnything-3B | 3.8 B | — | other | 923 K | from 9.5 GB |
| 337 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 923 K | from 0.9 GB |
| 338 | Qwythos-9B-Claude-Mythos-5-1M-GGUF | — | — | ✓ apache-2.0 | 922 K | from 7.0 GB |
| 339 | InternVL2-1B | 940 M | — | ✓ mit | 920 K | from 2.7 GB |
| 340 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 917 K | from 1.1 GB |
| 341 | Qwen3.6-35B-A3B-abliterated-v4 | 34.7 B | 262 K | ✓ apache-2.0 | 916 K | from 82.0 GB |
| 342 | gemma-4-26B-A4B-it-QAT-MLX-4bit | 4.6 B | — | ✓ apache-2.0 | 914 K | from 18.4 GB |
| 343 | Qwen2.5-1.5B-Instruct-AWQ | 1.8 B | 33 K | ✓ apache-2.0 | 913 K | from 2.5 GB |
| 344 | Qwen3.6-27B-GPTQ-Pro-4bit | 27.4 B | — | ✓ apache-2.0 | 909 K | from 25.2 GB |
| 345 | UI-TARS-1.5-7B | 8.3 B | 128 K | ✓ apache-2.0 | 909 K | from 38.2 GB |
| 346 | Phi-tiny-MoE-instruct | 3.8 B | 4 K | ✓ mit | 907 K | from 9.3 GB |
| 347 | Qwen3.6-27B-MLX-6bit | 6.4 B | — | ✓ apache-2.0 | 907 K | from 26.5 GB |
| 348 | hubert-base-ls960 | — | — | ✓ apache-2.0 | 904 K | — |
| 349 | wavlm-base-plus | — | — | unknown | 902 K | — |
| 350 | opus-mt-fr-en | 80 M | 512 | ✓ apache-2.0 | 900 K | from 0.8 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.