1,058 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 | nb-wav2vec2-1b-bokmaal-v2 | 960 M | — | ✓ apache-2.0 | 1.0 M | from 4.9 GB |
| 302 | nllb-200-distilled-600M | 600 M | 1 K | ✗ cc-by-nc-4.0 | 1.0 M | from 1.9 GB |
| 303 | e5-mistral-7b-instruct-bnb-4bit | 7.3 B | 33 K | ✓ mit | 1.0 M | from 5.8 GB |
| 304 | Qwen2.5-32B-Instruct-AWQ | 32.8 B | 33 K | ✓ apache-2.0 | 1.0 M | from 26.7 GB |
| 305 | Qwen3-TTS-12Hz-0.6B-CustomVoice | 910 M | — | ✓ apache-2.0 | 1.0 M | from 3.4 GB |
| 306 | ms-marco-MiniLM-L-6-v2 | — | 512 | unknown | 1.0 M | — |
| 307 | DeepSeek-V3-0324 | 684.5 B | 164 K | ✓ mit | 1.0 M | from 860.6 GB |
| 308 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.0 M | from 1.1 GB |
| 309 | glm-4-9b-chat-IMat-GGUF | — | — | other | 1.0 M | from 3.9 GB |
| 310 | w2v-xls-r-uk | 320 M | — | ✓ apache-2.0 | 1.0 M | from 1.9 GB |
| 311 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 1.0 M | from 1.1 GB |
| 312 | Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V11-GGUF | — | — | ✓ apache-2.0 | 1.0 M | from 29.9 GB |
| 313 | Qwen3.5-122B-A10B | 125.1 B | — | ✓ apache-2.0 | 1.0 M | from 294.5 GB |
| 314 | gte-large-en-v1.5 | 430 M | 8 K | ✓ apache-2.0 | 1.0 M | from 2.5 GB |
| 315 | JiRackUltra_14b | 14.8 B | 131 K | ✓ mit | 1.0 M | from 9.1 GB |
| 316 | faster-whisper-large-v3 | — | — | ✓ mit | 1.0 M | — |
| 317 | Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V9-GGUF | — | — | ✓ apache-2.0 | 998 K | from 29.8 GB |
| 318 | BiRefNet | 220 M | — | ✓ mit | 998 K | from 1.0 GB |
| 319 | text2vec-base-chinese | 100 M | 512 | ✓ apache-2.0 | 995 K | from 1.0 GB |
| 320 | Qwen2.5-VL-32B-Instruct-AWQ | 33.5 B | 128 K | ✓ apache-2.0 | 993 K | from 28.3 GB |
| 321 | wav2vec2-xlsr-nepali | — | — | ✓ apache-2.0 | 993 K | — |
| 322 | Qwen3.5-9B-AWQ | 9.7 B | — | ✓ apache-2.0 | 984 K | from 15.6 GB |
| 323 | Octen-Embedding-8B | 7.6 B | 41 K | ✓ apache-2.0 | 981 K | from 18.3 GB |
| 324 | turn-detector | 130 M | 8 K | other | 978 K | from 1.1 GB |
| 325 | endless-frontier_BigBang-v1-GGUF | — | — | ✓ apache-2.0 | 978 K | from 11.8 GB |
| 326 | GLM-5.2-FP8 | 753.3 B | 1.0 M | ✓ mit | 978 K | from 944.7 GB |
| 327 | Qwen3.6-35B-A3B-NVFP4 | 34.7 B | — | ✓ apache-2.0 | 975 K | from 33.2 GB |
| 328 | GLM-5.3 | 753.3 B | 1.0 M | other | 974 K | from 944.7 GB |
| 329 | wav2vec2-large-xlsr-korean | 320 M | — | ✓ apache-2.0 | 971 K | from 1.9 GB |
| 330 | Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit | 5.3 B | 262 K | ✓ apache-2.0 | 968 K | from 21.2 GB |
| 331 | Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V12-GGUF | — | — | ✓ apache-2.0 | 965 K | from 29.9 GB |
| 332 | GLM-5.2 | 753.3 B | 1.0 M | ✓ mit | 962 K | from 1,770.8 GB |
| 333 | roberta-base-go_emotions | 120 M | 512 | ✓ mit | 962 K | from 1.1 GB |
| 334 | cohere-transcribe-03-2026-gguf | — | — | ✓ apache-2.0 | 961 K | from 2.2 GB |
| 335 | Qwen3.6-27B-AWQ-INT4 | 29.3 B | — | ✓ apache-2.0 | 952 K | from 27.4 GB |
| 336 | gemma-4-26B-A4B-it-GGUF | — | — | ✓ apache-2.0 | 952 K | from 11.4 GB |
| 337 | gemma-4-26B-A4B-it-FP8-dynamic | 26.5 B | — | ✓ apache-2.0 | 948 K | from 36.0 GB |
| 338 | F5-TTS | — | — | ✗ cc-by-nc-4.0 | 946 K | from 5.0 GB |
| 339 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 945 K | from 47.2 GB |
| 340 | privacy-filter-nemotron-GGUF | — | — | ✓ apache-2.0 | 944 K | from 2.3 GB |
| 341 | wavlm-base-plus | — | — | unknown | 944 K | — |
| 342 | wav2vec2-xls-r-300m-ftspeech | 320 M | — | other | 944 K | from 1.9 GB |
| 343 | pubmedbert-base-embeddings | 110 M | 512 | ✓ apache-2.0 | 941 K | from 1.0 GB |
| 344 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 937 K | from 0.9 GB |
| 345 | bert-portuguese-ner | — | 512 | ✓ mit | 930 K | — |
| 346 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 930 K | from 7.8 GB |
| 347 | Qwen3-4B-Instruct-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 930 K | from 6.9 GB |
| 348 | Qwen3.5-122B-A10B-FP8 | 125.1 B | — | ✓ apache-2.0 | 929 K | from 159.1 GB |
| 349 | twitter-xlm-roberta-base-sentiment | — | 512 | unknown | 919 K | — |
| 350 | Tiel-Coder-35B-A3B-GGUF-MTP | 35.0 B | — | ✓ mit | 916 K | from 19.7 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.